AI is delivering real, measurable returns for telecom

AI is already delivering measurable business impact across industries, and telecom is among the leaders. A recent IDC study shows operators are achieving 2.8 times return on generative and agentic AI investments, with many leading companies reaching up to 5 times return. Frontier telecoms are realizing even greater returns from AI by making it foundational to how their business operates—from employees and core workflows to the end‑to‑end value chain. These leaders are moving beyond incremental efficiency by using an end-to-end AI platform and unified data approach that embeds AI into everyday operations, enabling faster decisions, tighter execution, and continuous performance improvements across their organization.

With more than 80% of the Fortune 500 building active AI agents, Microsoft Copilot is rapidly becoming essential to how employees think, collaborate, and deliver results. As AI proves its value, telecoms are moving beyond pilots to connected intelligence that elevates customer experiences, replaces manual workflows with autonomous operations, hardens and self‑heals networks, and drives new revenue opportunities. Connected intelligence will differentiate fast-moving telecoms across every area of business operation.

Read more about Frontier telecoms here.

Return on intelligence and trust

For telecoms, achieving value from scalable AI depends on two factors: intelligence and trust. Built from three complementary IQ elements—Work IQ, Fabric IQ, and Foundry IQ—Microsoft IQ is the intelligence layer that connects AI, data, and context across the business. It gives AI agents deep awareness of how people work, how the business operates, and how decisions are made. This intelligence layer accelerates decisions, improves customer experiences, automates operations and networks, and unlocks new ways to monetize AI‑based services. Trust is built through Microsoft’s carrier‑grade control plane, which provides built‑in monitoring and governance across the entire AI platform, including AI agents from our partner ecosystem, to allow telecoms to innovate responsibly, support regulatory compliance, and scale AI with confidence.

At MWC 2026, Microsoft is announcing new technologies that will help telecoms move forward with AI and use intelligence to drive the business.  Microsoft delivers this through a single platform that brings AI, unified data, trust, and governance together to enable telecoms with connected, actionable insights to accelerate innovation and growth.

Building the sovereign, AI-ready edge for telecom

For telecoms, thriving in the era of agentic intelligence begins with a resilient foundation. Today, we’re advancing Microsoft Sovereign Cloud with fully disconnected operations, extending cloud capabilities and AI-ready infrastructure deeper into operator networks than ever before. As demand accelerates for low-latency services, real-time processing, and stronger assurances around data sovereignty and regulatory compliance, the edge has become a critical extension of telecom networks and foundational layer of modern digital infrastructure. This is especially true for regulated industries and mission-critical scenarios where operational resilience and control over data are paramount.

To support these confidential environments, Azure Local offers full stack capabilities that support customers across connected, intermittently connected, and fully disconnected modes. This is essential for sovereign environments where uninterrupted access to operational, network, or customer-facing systems is non-negotiable. Azure Local disconnected operations keeps critical services running securely without connectivity to the cloud. At the same time, Foundry Local will be able to offer modern infrastructure and support for large AI models. Using the latest graphics processing unit (GPU) infrastructure from partners like NVIDIA means customers with sovereign needs will now be able to run models locally on their own hardware, inside strict sovereign boundaries enabling powerful, local AI inferencing in fully disconnected environments.

Customers can deploy and govern workloads inside their own datacenters, using familiar Microsoft Azure experiences and consistent policies, without depending on continuous connection to public cloud services.

AT&T uses Azure to support its cloud and edge strategy, enabling consistent operations across a distributed network footprint. By applying Azure’s management and governance capabilities across environments, AT&T can bring compute and data processing closer to where services are delivered while maintaining strong security and operational oversight.

“As we expand our network edge capabilities, Azure plays a key role in helping us apply cloud-native principles across our distributed infrastructure. The scalability and flexibility of Azure’s adaptive cloud approach allow us to deploy services closer to our customers, maintaining control while providing the reliability and performance they expect from AT&T. This long-standing partnership enables us to innovate and deliver next-generation experiences at the edge.”

—Sherry McCaughan, Vice President, Mobility Core and Services

Azure’s cloud-native management capabilities and global platform enable organizations like AT&T to modernize and scale edge environments, supporting next-generation services while maintaining consistent governance, security, and operational control. Native management capabilities and a global platform enable organizations like AT&T to modernize and scale edge environments, supporting next generation services while maintaining consistent governance, security, and operational control. 

We’re also investing in multi-rack deployment capabilities for Azure Local, extending scale points to support large-scale infrastructure for the most demanding, mission-critical workloads. Customers will be able to expand from single-node and cluster deployments to multi-rack environments designed for high availability, fault isolation, and operational simplicity at scale. Multi-rack deployment on Azure Local is currently in preview and will be available in the coming months.

Microsoft is collaborating with telecom operators to deliver sovereign cloud platforms and managed services that combine hyperscale innovation with local control, enabling enterprises to meet data residency, regulatory, and security requirements while accelerating trusted digital and AI transformation.

Agentic customer experiences that drive growth

With this foundation in place, telecoms can move beyond isolated use cases to scale intelligence across experiences and growth models. The same agentic capabilities that transform customer engagement also unlock new ways to monetize services, reduce cost to serve, and create differentiated value.

Today, telecom customer journeys are fragmented. Customers often switch channels to complete tasks, driving abandonment and cost. AI agents turn customer intent into end‑to‑end action across systems. Microsoft is now offering a telecom agentic store reference framework to replace click‑based journeys with natural‑language interaction. Coordinated AI agents handle discovery, sales, service, billing, and partner offers in the background—customers state their goal and agents deliver the outcome. The result is higher digital completion, faster resolution, and better experiences. This framework also creates a new monetization platform, enabling federated AI marketplaces with built‑in identity, billing, and sovereign deployment for trusted ecosystem commerce at scale. Telecoms are already working with Microsoft and system integrators to adopt this architecture—unifying sales and service, reducing cost‑to‑serve, and creating a scalable foundation for partner‑led innovation. 

FiberCop modernizes edge cloud and contact center

FiberCop runs Italy’s most advanced, far-reaching and pervasive digital network infrastructure. FiberCop recently announced that it has integrated Azure Local into its network, transforming the access infrastructure into an edge cloud platform capable of delivering cloud-native services, virtualized network functions, and advanced workloads while meeting sovereignty and compliance requirements. Today, FiberCop announces that it is accelerating its agentic transformation, moving to an AI‑first contact center model where autonomous AI agents, Copilot, and human expertise work together. By adopting Dynamics 365 Contact Center, FiberCop has begun modernizing customer engagement with unified data, intelligent routing, and AI‑powered self‑service and assisted service that delivers more efficient operations and better customer experiences at scale.

Introducing Ericsson Enterprise 5G Connect to reimagine customer experience

Ericsson announces ongoing collaboration with Microsoft introducing the Ericsson Enterprise 5G Connect solution—validated on Microsoft Surface 5G Copilot+ PCs and built on top of Windows 11’s Enterprise Cellular Managed Connectivity (ECMC) capabilities. This new offering enables enterprises to centrally manage secure, seamless 5G connectivity for mobile and hybrid employees, using automatic network switching and robust policy enforcement to enhance productivity and security. IT teams gain scalable management and control, while end users benefit from uninterrupted, AI-powered experiences across private and public 5G networks. The solution is currently being piloted by Ericsson and is in private preview. To learn more, visit our Windows IT Pro blog.

Intelligent business operations, built for telecom

Delivering connected customer experiences depends on what happens behind the scenes. Telecom operations require trusted, governed access to network and customer data. That’s why operators are moving from legacy data warehouses to a modern lakehouse that unifies business and network data.

Microsoft Fabric provides a single, policy‑governed data foundation for real‑time, operational, and analytical data to speed AI insights at scale. Building on this foundation, today we’re announcing Azure Databricks Lakebase will be available in March 2026, giving telecom operators a managed PostgreSQL environment with next generation separation of storage and compute for transactional data, providing instant availability, instant clones, and scale-to-zero. This brings online transaction processing (OLTP) capabilities to the Databricks Data Intelligence Platform on Azure designed for developer performance with low total cost of ownership (TCO), eliminating the traditional gap between operational systems and the lakehouse.

Partners are building on this data foundation as well. For example, Nokia integrates its data suite with Fabric to securely unify network telemetry and reduce AI use case development time by up to 80%.

MTN transforms fraud prevention with AI

In today’s rapidly evolving digital landscape, identity theft and first-party fraud are escalating at alarming rates, posing significant risks to individuals and businesses across South Africa. MTN has made a bold move to transform its fraud management approach by harnessing advanced Microsoft technologies. Shifting from traditional, reactive methods to a proactive, AI-powered ecosystem, MTN is not only protecting its customers and strengthening revenue defenses but also reinforcing national digital resilience and contributing to a safer, more secure digital economy for all.

Amdocs powers intelligent business operations

Amdocs is making several announcements with Microsoft that deepen integration to deliver next-generation solutions. The first is AI-powered application modernization through the Amdocs Agentic Services platform, embedding Microsoft AI solutions such as Azure OpenAI and Microsoft Foundry into end-to-end modernization and migration to Azure. Second, Amdocs Cognitive Core platform built on amAIz, offering prebuilt agent libraries, cross-domain insights, and telecom-specific AI that integrates with any business or operating system stack and runs securely on Azure. Colt Technology is working with Amdocs and Microsoft to streamline operations and accelerate service delivery with real-time insight.

To learn more about transforming the OSS/BSS with agentic AI, read this blog.

Power autonomous networks with built-in trust and control

As intelligence is embedded across data and operations, the next frontier is the network itself. Agent-driven operations enables networks to move from reactive management to autonomous executions that respond faster, reduce risk, and improve resilience at scale.

To help operators move from pilots to production at scale, Microsoft is evolving its network operations agent (NOA) reference architecture—a proven framework shaped by real world deployments, industry collaboration, and learnings from Microsoft’s NetAI program.

NOA is built for today’s telecom realities: exploding event volumes, rising complexity, and persistent skills gaps. The latest evolution deepens integration with Microsoft AI and collaboration platforms, strengthens alignment with open standards, and delivers a modular, production-ready path to autonomy—without compromising telco-grade safety, governance, or human oversight. Operators engage AI directly through Microsoft 365 Copilot and Microsoft Teams, while Microsoft Foundry and the Microsoft Agent Framework provide a governed, observable runtime for multi-agent orchestration at scale. Expanded support for TM Forum Open APIs helps ensure interoperability across existing business and operations support systems, making NOA an open, secure foundation for autonomous networks. Read more about NOA.

Leading operators such as Far EasTone Telecom and Vodafone are already applying this blueprint to modernize network operations, reduce human error, accelerate recovery times, and enable engineers to focus on higher value work.

Far EasTone Telecom (FET) is turning agentic AI into real operations impact 

FET exemplifies how leading operators are turning this architecture into real operational impact. FET is using the NOA framework to redefine cloud native network operations by embedding agentic AI across its NOC and change management workflows. Today, nearly 60% of its NOC operations are AI-assisted, with about 10,500 operational tasks executed per month, including incident summaries, automated ticket closure, network checks, and proactive voice notifications. AI agents now handle largescale alarm correlation and root cause analysis in seconds, supporting nearly 7,000 monthly operational queries with an average response time of 16 seconds, and enabling most maintenance actions to complete within one minute. This shift has significantly reduced human error, accelerated recovery times, and allowed engineers to focus on higher value work.

Vodafone’s journey toward intelligent network operations

Vodafone is working with Microsoft to apply this proven AI‑powered blueprint for autonomous network operations across transport infrastructure and field‑force management. The collaboration combines Vodafone’s deep network expertise with Microsoft Foundry and the NOA framework to modernize how large‑scale telecom networks are operated.

This blueprint is built on Microsoft’s own experience running autonomous agents across its global Azure transport network, where AI continuously monitors performance, identifies root causes, and autonomously manages more than 65% of fiber‑break field dispatches—improving time to repair by up to 25% and accelerating root‑cause analysis by 80%. By applying these proven capabilities to Vodafone’s transport network, the two companies are accelerating the shift toward intelligent, automated transport network operations across the telecom industry.

“By working with Microsoft, we’re combining deep network expertise with proven AI‑powered operations to create something greater than either could achieve alone. Together, we’re building intelligent, automated transport network operations that empower our teams and deliver faster, more resilient connectivity networks for our customers.”

—Alberto Ripepi, Chief Network Officer, Vodafone

Other operators, including AT&T, T-Mobile, Telefónica, and MEO, are adopting Microsoft Foundry as a blueprint for scaling agentic AI across complex, multi-vendor networks. 

Today, Kenmei announces it is collaborating with Microsoft to help operators accelerate their path toward autonomous networks by combining Kenmei’s telecom intelligence offer with Azure and Microsoft Fabric to enable scalable analytics and agentic AI–powered operations. Already in use at leading operators like Telefónica and Etisalat (e&), this collaboration brings proven deployments into a broader cloud and AI ecosystem designed to reduce manual effort, speed decision‑making, and unlock new levels of network automation.

Microsoft achieves global milestone to extend internet access with Starlink

As telecoms scale intelligence across networks, operations, and experiences, connectivity remains the starting point. Because AI only delivers impact where access exists, expanding internet access is foundational to an intelligent and inclusive telecom future.

Today, 2.2 billion people around the world remain unconnected.¹ To help overcome this barrier, Microsoft pledged to bring access to 250 million people by 2025. We are pleased to share that we’ve expanded internet access to 299 million people through the power of technology and partnerships in communities around the globe. But we know there is more work to do to support unconnected communities and enable global participation in the AI economy.

In support of this on-going effort, we are unveiling a new collaboration with Starlink designed to bring Microsoft’s experience with governments, local operators, and community partners together. With more than 9,000 satellites in low-Earth orbit, Starlink will extend digital infrastructure to rural, agricultural, and hard-to-reach communities. You can read more about how we met this milestone and are continuing to extend AI-enabled connectivity aligned with community needs.

Join us at MWC 2026 to learn more

Frontier telecoms are already proving what’s possible when AI, data, trust, and governance come together on a single platform to power faster operations, autonomous networks, intent-driven engagement, and real return on intelligence.

Join Microsoft At MWC 2026 to see how operators and partners are moving from AI promise to production through real deployments, live demos, and customer stories.

¹Facts and Figures 2025, ITU.

The post Microsoft accelerates telecom return on intelligence with a unified, trusted AI platform appeared first on The Microsoft Cloud Blog.

We have come a long way with more than 85% of the Fortune 500 using Microsoft AI solutions to shape their future. With 66% of CEOs reporting measurable business benefits from generative AI initiatives, particularly in enhancing operational efficiency and customer satisfaction, according to IDC’s 2025 CEO Priorities research.¹ IDC predicts investments in AI solutions and services are projected to yield a global cumulative impact of $22.3 trillion by 2030 representing approximately 3.7% of the global gross domestic product (GDP). Every new dollar spent on AI solutions and services by adopters is expected to generate an additional $4.9 in the global economy, underscoring the significant multiplier productivity and business acceleration effect of AI investments in the coming years.²

Organizations large and small, across various industries and geographies, are designed to achieve one of four business outcomes:

1. Enriching employee experiences: Using AI to streamline or automate repetitive, mundane tasks can allow your employees to dive into more complex, creative, and ultimately more valuable work.
2. Reinventing customer engagement: AI can create more personalized, tailored customer experiences, delight your target audiences while lightening the load for employees.
3. Reshaping business processes: Virtually any business process can be reimagined with AI, from marketing to supply chain operations to finance, and AI is even allowing organizations to go beyond process optimization and discover exciting new growth opportunities.
4. Bending the curve on innovation: AI is revolutionizing innovation by speeding up creative processes and product development, reducing the time to market and allowing companies to differentiate in an often crowded field.

AI use cases

Achieve your business goals with Microsoft AI

Explore examples

In this blog, we’ve collected more than 1,000 real-life examples of how organizations are embracing Microsoft’s proven AI capabilities to drive impact and shape today’s platform shift to AI. I’m sure you will find an example or two that resonates with you and inspires your business transformation journey.

Enriching employee experiences

Generative AI is truly transforming employee productivity and well-being. Our customers tell us that by automating repetitive, mundane tasks, employees are freed up to dive into more complex and creative work. This shift not only makes the work environment more stimulating but also boosts job satisfaction. It sparks innovation, provides actionable insights for better decision-making, and supports personalized training and development opportunities, all contributing to a better work-life balance. Customers around the world have reported significant improvements in employee productivity with these AI solutions:

Architecture and engineering

1. Arup Group utilized Microsoft Entra Verified ID, and other security solutions to develop Face Check, powered by Azure AI Services. Employees register a photo to maintain high-confidence biometric assurance for quality and audit purposes, whether it’s a remote or face-to-face transaction, to deepen their layers of defense and security.

Cable and satellite

2. EchoStar Hughes division leveraged Microsoft Azure AI Foundry to create 12 new production apps, including automated sales call auditing, customer retention analysis, and field services process automation. These solutions are projected to save 35,000 work hours and boost productivity by at least 25%.

Education

3. Brisbane Catholic Education equips Microsoft 365 Copilot and utilizes Microsoft Copilot Studio to develop a generative AI tool that helps integrate Catholic traditions and values into the classroom. Educators reported saving an average of 9.3 hours per week.
4. Education Authority of Northern Ireland (EANI) introduced Microsoft 365 Copilot to reduce administrative work, enabling teachers to focus more on students. The partnership with Microsoft ensures secure and responsible AI use, while teacher training emphasizes prompt writing and effective tool adoption.
5. Physics Wallah utilized RAG and Azure OpenAI Service architecture to develop “Gyan Guru” a hyper-personalized conversational study companion tailored to meet the unique needs of each student.
6. Sikshana Foundation is collaborating with Microsoft Research India to introduce an AI copilot for teachers that shortens preparation time for lessons from an hour or more to just minutes.
7. University of Hong Kong adopted Microsoft 365 Copilot to boost productivity by automating administrative tasks and providing intelligent assistance, enabling faculty to focus more on teaching.
8. University of Oxford embraced Microsoft 365 Copilot to assist the IT department in saving time on summarizing documents, creating content, supporting meetings, and managing tasks.

Energy and resources

9. Aker BP implemented Microsoft 365 Copilot and Copilot Studio to create AI agents that streamline daily tasks, enhance tool accessibility, and establish a foundation for scalable automation.
10. BKW developed Edison, a platform using Microsoft Azure, Azure AI Foundry, and Azure OpenAI services, to securely and effectively tap into internal data. Within two months of its roll-out, 8% of staff were actively using Edison, media inquiries were processed 50% faster, and more than 40 use cases were documented.
11. Centrica use of Microsoft Power Platform grown from 300 apps in 2019 to more than 800 business solutions today, ranging from simple productivity tools to advanced, enterprise-wide solutions. A center of excellence helps maintain governance and supports nearly 330 makers and 15,000 users across the company. They are also evaluating Copilot in Power Apps and see significant time savings in developing new apps and improving their existing Power Platform solutions.
12. Colbún adopted Microsoft 365 Copilot to assist employees with daily tasks, allowing executives to focus on client interactions instead of spending 30 minutes understanding an email. Copilot can access historical information about clients, projects, or contracts, improving the quality and clarity of written communications and optimizing preparation times.
13. E.ON is focused on Germany’s energy transition, leveraging Microsoft 365 Copilot to manage the complex grid in real-time, increasing productivity and efficiency for its workforce.
14. Enerjisa Üretim used Microsoft 365 Copilot to streamline meeting summaries, reformat documents, and compile reports. Copilot significantly reduced administrative work and increased mental bandwidth, enabling employees to focus on more strategic and fulfilling activities instead of spending six hours in meetings.
15. General Combustibles Company (GCC) deployed Security Copilot to improve security outcomes. Access to consolidated information and analysis that previously took hours is now delivered in seconds. Security analysts no longer have to invest long hours in operational tasks and can generate more value, accelerate processes, or implement new mechanisms using the tool.
16. HELLENiQ ENERGY partnered with PwC to introduce Microsoft 365 Copilot and Copilot Studio to boost its productivity by 70% and reduced email processing time by 64%.
17. Ma’aden used Microsoft 365 Copilot to enhance productivity, saving up to 2,200 hours monthly. Tasks like drafting emails, creating documents, and analyzing data become more efficient, helping Ma’aden achieve its growth goals.
18. MAIRE leveraged Microsoft 365 Copilot to automate routine tasks, saving more than 800 working hours per month and freeing up engineers and professionals for strategic activities. This supports MAIRE’s green energy transition by reducing its carbon footprint.
19. Motor Oil Group achieved remarkable efficiency gains by integrating Microsoft 365 Copilot into its workflows, allowing staff to complete tasks in minutes that previously took weeks.
20. Petrobras used Azure OpenAI Service to create Chat Petrobras, streamlining workflows, reducing manual tasks, and summarizing reports for its 110,000 employees.
21. Petrochemical Industries Company automated work processes with Microsoft 365 Copilot, reducing time from weeks to days, and hours to seconds.
22. Scottish Water implemented Microsoft 365 Copilot, minimizing mundane tasks and freeing up time for employees to focus on more meaningful work.
23. Tüpraş prioritized Microsoft 365 Copilot for AI-powered insights and automation, streamlining employees’ daily tasks through enhanced functions in collaboration and productivity applications. It estimates that employees save more than an hour daily while also seeing IT resource efficiency gains.
24. Uniper SE implemented Microsoft 365 Copilot to reduce time spent on manual and repetitive tasks, helping workers focus on more pressing work, such as developing enhanced solutions to speed up the energy transition.

Financial services

25. Access Holdings Plc adopted Microsoft 365 Copilot, integrating generative AI into daily tools. As a result, writing code now takes two hours instead of eight, chatbots launch in 10 days instead of three months, and presentations are prepared in 45 minutes instead of six hours.
26. Allpay uses GitHub Copilot to help engineers and developers write code faster and with less effort, increasing productivity by 10% and delivery volume into production by 25%. It has also adopted Microsoft Copilot to help share information on its SharePoint wikis.
27. ANZ invested in Microsoft 365 Copilot, GitHub Copilot, and Copilot in Microsoft Edge to boost productivity and innovation across its workforce.
28. Architecht used Azure OpenAI Service and GitHub Copilot to develop OBA Suite, a cloud-based platform built on a microservices architecture. The platform also integrates advanced AI capabilities. With low-code or no-code capabilities, UI/UX prototyping takes 25 minutes instead of two days. OBA Suite enhances user experience with AI-powered assistants and personalized service.
29. AXA developed AXA Secure GPT, a platform powered by Azure OpenAI Service that empowers employees to leverage the power of generative AI while targeting the highest level of data safety and responsible use of the tool.
30. Aztec Group boosted productivity and improved client experience by piloting Microsoft 365 Copilot with 300 employees. They discovered numerous use cases and are planning a broader rollout.
31. Bancolombia is leveraging GitHub Copilot to enhance its technical team’s productivity, resulting in a 30% increase in code generation. This has led to an average of 18,000 automated application changes per year and 42 productive daily deployments.
32. Bank CenterCredit deployed Microsoft Fabric and Power BI, optimizing analytics, securing data, automating reports, and providing real-time insights for employees. They reduced errors in reports by 40%, cut analytics time, accelerated decision-making by 50%, and empowered employees to save 800 hours per month, enabling faster, insight-driven decisions.
33. Barclays Bank PLC decided to integrate Microsoft 365 Copilot into its colleague productivity tool, creating a single agent that enables 100,000 employees to access the bank’s broad ecosystem, portals, and online resources. This integration aims to improve productivity and enhance the employee experience. The Colleague AI Agent will assist employees in performing a wide variety of tasks, checking compliance, and finding answers to HR-related questions.
34. BOQ Group implemented Microsoft 365 Copilot, enabling 70% of employees to save 30 to 60 minutes daily. This deployment also allowed the completion of business risk reviews in one day instead of three weeks, the creation of training programs in one day instead of three weeks, and the improvement of report quality while accelerating sign-off processes from four weeks to one week.
35. BlackRock acquired more than 24,000 Microsoft 365 Copilot licenses for all employees, functions, and locations. This acquisition enhances the Copilot experience and includes collaboration on developing new features and functions.
36. BNY adopted GitHub Copilot, with over 80% of its developer community now relying on it daily, increasing the speed of code development. BNY also uses Eliza, a virtual assistant, to empower employees to innovate, streamline workflows, and deliver enhanced value to clients. Additionally, Microsoft 365 Copilot helps transform operations and company culture.
37. British Columbia Investment Management Corporation (BCI) leverages Microsoft 365 Copilot and the Azure ecosystem to enhance the employee experience and transform operations. By automating manual tasks, BCI increased productivity by 10% to 20% for 84% of Copilot users and boosted job satisfaction by 68%. The organization saved more than 2,300 person-hours through automation, reduced the time spent on writing internal audit reports by 30%, and saved a month of processing time to analyze 8,000 survey comments.
38. Commercial Bank of Dubai (CBD) leveraged Microsoft 365 to democratize AI, streamline tasks, and foster innovation. By doing so, CBD saved 39,000 hours annually, enhancing workflows, improving collaboration and employee experience, and expanding AI literacy across teams.
39. Commonwealth Bank of Australia (CommBank) introduced Microsoft 365 Copilot and GitHub Copilot in a structured training initiative to equip employees with the knowledge and tools to apply AI effectively across the organization. With 84% of 10,000 users reporting that they wouldn’t go back to working without Copilot and approximately 30% of GitHub Copilot code suggestions adopted, the initiative has driven efficiency and smarter decision-making.
40. Commonweatlh Bank of Australia (Commbank) developed ChatIT using Azure and Copilot Studio. Integrated with the bank’s internal knowledge base, ChatIT can receive employees’ questions in natural language, provide solutions, and take direct action to fix issues.
41. Crediclub saved 96% per month in auditing expenses and analyzed 150 meetings per hour with Azure OpenAI Service, freeing up time for 800 sales advisors and 150 branch managers to interact directly with customers.
42. Farm Credit Canada implemented Microsoft 365 Copilot, resulting in significant time savings on routine tasks for 78% of users. Specifically, 30% of users saved 30 to 60 minutes per week, while 35% saved more than an hour per week. This allowed employees to focus on more value-added tasks.
43. Finastra leveraged Microsoft 365 Copilot to streamline tasks, improve content creation, enhance analytics, and personalize customer interactions. Employees reported saving between 20% and 50% of their time.
44. Flagstone is exploring GitHub Copilot for code development and review, Microsoft 365 Copilot to save time and boost productivity, and Azure OpenAI Service to run advanced AI models on their enterprise data.
45. Floww used Microsoft 365 Copilot to collate data and collaborate easily across different resources, saving 10% to 20% of their time to achieve better and faster communication with customers.
46. FM introduced Microsoft Copilot to boost productivity in various tasks, including email management and risk assessments. Engineers leverage AI-powered tools to analyze numerous locations globally, identifying hazards that might be overlooked and recommending preventative measures to avert disasters.
47. Generali deployed GitHub Copilot to support its team of developers, accelerating productivity, improving efficiency, and increasing the delivery rate of software projects.
48. Hiscox deployed Microsoft 365 Copilot to its employees across 14 countries to streamline the complex claim work process and simplify information, resulting in significant time savings and productivity gains. What used to take up to an hour to process a new claim now takes just 10 minutes, allowing them to speed up customer transactions and serve customers faster and more accurately.
49. Kuwait Finance House used Microsoft AI solutions to build RiskGPT, an in-house AI engine connected to Microsoft 365 Copilot, Power BI Copilot, and Fabric. This integration makes it easier for risk management executives and employees to interact with data, gain useful insights, handle complex risk models, and receive early warning notifications. Evaluating credit cases used to take an average of four to five days, but with RiskGPT, they can carry out dynamic risk rating in less than an hour.
50. LGT introduced Microsoft Copilot to enhance efficiency, with users saving an average of one hour per week during the pilot phase.
51. Markerstudy Group developed a call summarization app for its claims department using Azure OpenAI. This app saves claim handlers approximately four minutes per call. Considering the company handles 840,000 calls annually, this translates to a savings of 56,000 hours or nearly 7,500 working days. This time savings enables employees to resolve issues more effectively and allows agents to handle more complex queries.
52. Members 1st Federal Credit Union adopted Microsoft Fabric, a comprehensive data analytics platform with AI-powered capabilities that seamlessly integrates with its M1-360 solution built on Azure services. M1-360 enables the credit union to derive valuable data insights for more informed decision-making and to refine marketing campaigns, offering members the services they need most.
53. National Australia Bank implemented Microsoft 365 Copilot for daily productivity, data analysis, and insights. Additionally, they are utilizing Microsoft Copilot for Security to quickly analyze millions of security event logs, allowing engineers to focus on more critical areas.
54. Nsure.com utilized Copilot Studio to develop copilots that handle routine and repetitive tasks, allowing employees to focus on more valuable responsibilities and better align customers with insurance carriers.
55. Paytm used GitHub Copilot when they launched Code Armor, a solution designed to improve the time taken to secure cloud accounts. This resulted in an efficiency increase of over 95%, significantly boosting productivity.
56. PIMCO developed Chat GWM using the Azure AI Studio Foundry portal, a comprehensive platform that enables users to ask questions, receive responses, and verify answers all in one place. This allows teams to spend more time engaging with clients and having deeper conversations.
57. Placing Platform Limited (PPL) launched an intuitive trading platform and intelligent data hub, integrated with Microsoft 365 Copilot and Fabric, to accelerate data-driven trading. This integration enables brokers and carriers to be more responsive, analyze and compare data to gain real-time insights, and provide clients with easy access to structured, secure data to inform and support business decisions.
58. PNB introduced the PNB SuperApp, leveraging Azure OpenAI Service and integrating it into Microsoft Teams. This app assists employees with queries and ensures adherence to internal guidelines. Additionally, employees utilize Microsoft 365 Copilot to enhance workflows, save time, and boost productivity.
59. Quilter identified Microsoft 365 Copilot as a key tool to help empower its teams to do more. They believe Copilot can make them 20% more effective, with tasks that took days now taking hours. Copilot is even helping their 174 investment managers simplify client interactions by reducing the amount of time it takes to write up meeting notes. They do an average of 100 meetings, and for each meeting, that’s 45 minutes saved, allowing them to reinvest that time into supporting their clients.
60. Raiffeisen Bank International built its own RBI ChatGPT using Azure OpenAI Service to automate repetitive tasks such as documenting intelligence and quickly summarizing legal, regulatory, and banking documents.
61. Ramp built a custom OCR tool using Microsoft Azure AI and Document Intelligence that automates finance workflows, saving 30,000 hours of manual work, processing 400,000 invoices, and 5 million receipts monthly with 90% accuracy on OCR fields. They also use GitHub Copilot and DevOps in their platform processes to enhance development speed, enabling engineers to ship code faster.
62. SACE is leveraging Microsoft 365 Copilot and Microsoft Viva to enhance productivity and unlock employee potential while improving overall well-being. Data from the first nine months of implementation shows a 23% increase in productivity.
63. Sanabil Investments deployed Microsoft 365 Copilot to help employees reduce the time spent on manual everyday tasks, allowing them to focus on more strategic and valuable work. Within two months, approximately 70% of employees were regularly using Copilot.
64. Sanlam engineers use GitHub Copilot, which provides suggestions, optimizes code, refactors into modern languages, and generates unit test data sets on the go. Engineers have saved up to 30% of their time while also improving code quality.
65. Saxo Bank embraced Microsoft 365 and GitHub Copilot to help their 700 developers accelerate their coding rate by around 30%. They also developed a chatbot without needing to involve client services, and developers use AI-written code in almost every new application, saving time and making them more efficient.
66. SC Ventures collaborated with Insead to develop Project Eduverse, a secure, AI-powered platform that delivers tailored learning experiences using Azure OpenAI Service. This initiative aims to enhance workforce skills and readiness while enabling leaders to manage critical conversations more effectively.
67. SimCorp developed SimCorp Copilot using Azure and Azure AI to enhance employee capabilities, enabling them to perform their tasks more efficiently and access relevant data securely and reliably.
68. Standard Bank of South Africa adopted a low-code approach to automate processes, conduct analyses, and develop solutions for various business requirements. They also developed an IT help desk bot built in Copilot Studio that now resolves 99% of all employee queries.
69. UBS leveraged Azure OpenAI Service and Azure AI Search to develop the Legal AI Assistant (LAIA), enabling employees to quickly and easily find information, thereby boosting productivity.
70. Unum Group developed a custom AI application to efficiently search through 1.3 terabytes of data with an impressive 95% accuracy, leveraging the capabilities of Azure OpenAI Service.
71. Wells Fargo developed a Microsoft Teams app integrated with advanced language models for 35,000 bankers across 4,000 branches. This app provides instant access to guidance on 1,700 internal procedures, allowing employees to quickly find the information they need without seeking help from colleagues. Now, 75% of searches are conducted through the app, reducing response times from 10 minutes to just 30 seconds. Additionally, Wells Fargo created an AI virtual assistant tool to help Treasury sales teams proactively engage in relevant conversations with customers. AI is also being applied in Wells Fargo’s Corporate and Investment Bank to transform their end-to-end processes. AI will streamline interactions between the front office, underwriters, and operations, while Copilot-powered dashboards will help teams track loan statuses, keeping everyone involved throughout the deal lifecycle.
72. WTW embeds security practices and principles in everything it does to increase productivity and enhance its security edge. They believe Microsoft Security Copilot will greatly accelerate the way their internal threat hunting team develops and understands incidents.
73. XP Inc. uses leverages Microsoft 365 Copilot to automate tasks, significantly boosting productivity by saving more than 9,000 hours and increasing audit team efficiency by 30%. Additionally, Copilot enhances inclusion and accessibility at work by providing real-time transcriptions for employees with disabilities.

Government

74. Aberdeen City Council turned to Microsoft 365 Copilot as a holistic, AI-powered solution that could help offload tasks, freeing up workforce capacity to more responsively manage the care of residents.
75. Axon Enterprise has created an AI tool named Draft One using Azure OpenAI Service. This innovation has led to an 82% reduction in the time officers spend on reports, allowing them to engage more with their community.
76. Barnsley Council earned the title of ‘Double Council of the Year in 2023’ for its successful implementation of Microsoft 365 Copilot. This initiative modernized operations, reduced administrative tasks, and significantly improved job satisfaction and creativity among employees.
77. Buckinghamshire Council implemented Microsoft 365 Copilot, leading to significant productivity improvements, enhanced quality, and time savings. This allowed various teams to achieve more with fewer resources.
78. Colombia Justice System has launched a Copilot beta program to help reduce backlog rates, perform daily transcriptions, summarize hearings, and draft various judicial documents. Copilot also assists in reviewing grammar and wording, comparing draft rulings, and managing internal data.
79. Designated Areas for Sustainable Tourism Administration (DASTA) in Uthong, Suphanburi uses Microsoft Copilot to double-check proposals, streamline workflows, and reduce redundant tasks. They also use AI to generate images of success that allow decision-makers to see the impact and transform complex project management into strategic achievements that benefit local communities.
80. Gemeente Breda leveraged Microsoft Copilot to explore its capabilities and boost efficiency and productivity. Many tasks saved multiple hours per month, up to 28 hours per employee. Additionally, Microsoft Security Copilot has assisted with 717 incidents by summarizing large amounts of information.
81. Geographic Solutions developed VOS Sapphire AI using Microsoft Azure OpenAI to streamline content creation for job seekers, employers, and state employment agencies. This tool has significantly increased resume creation by job seekers by 70% and boosted productivity for staff members at state agencies by 65%.
82. La Poste utilized Microsoft 365 Copilot across 15 key functions to spark creativity, enhance compliance with rules and processes, save time, and contribute to employee well-being.
83. Ministry of Human Resources and Emiratisation (MOHRE) migrated to Microsoft 365 E5, enhancing security with Microsoft Intune, Microsoft Purview, and Microsoft Defender. This migration boosted productivity by 20% and secured their environment.
84. Public Investment Corporation adopted Microsoft 365 Copilot to assist employees with manual tasks, reducing the time spent on generating meeting notes by 95% and doubling the speed of investment decision-making. They can now access and approve investments in six months instead of twelve.
85. Région Sud used Azure OpenAI Service to develop a chatbot called “Allo Region” to help call agents respond more effectively to citizens’ queries. They also automated the verification of documents required for jobseeker skill training grants. Employees use Microsoft 365 Copilot for notetaking, report writing, and email processing.
86. Sandia National Laboratories used leveraged Microsoft Azure and Azure OpenAI in Foundry Models to create a customer chat tool within eight months for 17,000 employees. This tool has saved employees countless hours each month and streamlined research and business processes, all while meeting strict security requirements.
87. Singapore Civil Defence Force (SCDF) developed Power Platform apps to automate rostering and manage catering for thousands of frontliners, reducing waste. In significant news for emergency services, using Microsoft AI, their firefighters will also be able to predict fire risk. Additionally, Copilot is reducing administrative tasks for SCDF personnel by summarizing emails, reviewing presentations, and helping write proposals, freeing up time for their crucial responsibilities of keeping Singapore safe.
88. Somerset Council leverages Microsoft 365 Copilot to enhance performance. Employees save 10 hours per month, with 87% of users reporting positive benefits. These efficiencies enable employees to reinvest their time into more demanding tasks.
89. Stavanger Kommune worked with Bouvet to build its own Azure data platform and implement Power Platform governance, including Power BI, Power Apps, Microsoft Power Automate, and Azure OpenAI to remove sensitive personal information from data submitted by citizens and elevate the services it offers residents.
90. Torfaen County Borough Council utilized Microsoft 365 Copilot to streamline back-office processes, resulting in significant time savings and enhanced productivity for both business and children’s services teams, with further rollouts planned.

Healthcare

91. Acentra Health created MedScribe using Azure OpenAI. The solution has saved 11,000 nursing hours and nearly $800,000. It also helped each nurse process 20 to 30 letters daily, while achieving a 99% approval rate for MedScribe-generated letters.
92. Bader Sultan & Bros. Co. W.L.L. implemented Microsoft 365 Copilot to enhance employee productivity and speed up customer response times.
93. Baptist Care Community Services is using Microsoft 365 Copilot to save employees time as they navigate workforce shortage challenges, allowing them to focus more on the people they care for.
94. Bupa APAC enhanced its workforce skills using Microsoft 365 Copilot, GitHub Copilot, and other AI-powered tools to automate tasks, refine workflows, and boost efficiency. With GitHub Copilot, employees generated more than 410,000 lines of AI-assisted code, initiated more than 30,000 Copilot chats, and accelerated more than 100 AI use cases to improve patient care.
95. Cancer Center.AI developed a platform on Azure. The solution enables physicians to digitize pathology scans, rely on AI models for analysis, and collaborate remotely with other physicians. After using the solution, healthcare organizations have reported higher pathologist productivity, quicker diagnosis processes, and a reduction in diagnostic errors in initial pilot studies.
96. Chi Mei Medical Center is lightening workloads for doctors, nurses, and pharmacists with a generative AI assistant built on Azure OpenAI.
97. eClinicalWorks developed a tool using Azure AI services and Azure AI Document Intelligence to help healthcare workers scan, sort, and match thousands of faxes each year to match the faxed data with current patient files.
98. Medigold Health uses Azure OpenAI to significantly reduce the time that clinicians spend writing reports during their consultation and administrative time.
99. Morula Health is using Microsoft 365 Copilot to enhance productivity, streamline medical writing tasks, and ensure data security, ultimately improving efficiency and client satisfaction. 
100. Oxford University Hospitals NHS Foundation Trust implemented Microsoft 365 Copilot to improve staff report productivity by saving one to two hours a week, or reducing simple formatting tasks to a matter of seconds, enabling more resources to deliver frontline services.
101. Sayvant used Azure OpenAI to build an AI solution that generates acute care charts to comply with data security standards for the healthcare industry and align with documentation requirements. The solution saved 50,000 hours of clinician time, as the AI solution transcribes and generates personalized discharge instructions in more than 30 languages, to help clinicians focus more on face-to-face patient care instead of manual documentation.
102. Shriners Children’s developed an AI platform allowing clinicians to easily and securely navigate patient data in a single location, enhancing patient care, and improving the efficiency of their healthcare services.
103. Teladoc Health uses Microsoft 365 Copilot to revolutionize its telehealth operations, automating routine tasks, boosting efficiency, and increasing productivity.
104. Vail Health streamlines clinician workflows using Microsoft Dragon Copilot, enabling them to quickly complete customizable notes with the relevant billing and coding details in place, boosting efficiency without compromising quality.
105. Virtual Dental Care developed an AI application, Smart Scan, that leverages Azure to reduce paperwork for mobile dental clinics in schools by 75% and frees dentists to devote more time to patient care.

Legal services

106. Clifford Chance adopted Microsoft 365 Copilot to streamline tasks, automate processes, and enhance collaboration. Lawyers use it to draft and manage emails and ensure compliance, allowing them to focus on complex legal work and improve productivity.
107. ContractPodAi is developing innovative AI solutions for legal, procurement, regulatory, and compliance use cases. These solutions are powered by Microsoft’s platform, including Azure OpenAI in Foundry Models, to support legal teams, automate complex workflows, and enhance efficiency and compliance in legal operations.
108. DLA Piper chose Microsoft 365 Copilot to boost productivity for operational and administrative teams, saving up to 36 hours weekly on content generation and data analysis.
109. DWF deployed Microsoft 365 Copilot to experience a variety of productivity and quality improvements to better support their client experiences.
110. Harvey uses Azure OpenAI to simplify routine tasks across hundreds of law firms and legal teams, with one corporate lawyer saying he saved 10 hours of work per week.
111. Rajah & Tann leverages Microsoft Copilot for their daily operations. By utilizing Teams and Copilot, the firm’s employees can generate meeting minutes within two to three hours, significantly reducing the time from one to two days. Additionally, they have developed an AI-powered assistant, Ask HR, using Azure OpenAI to autonomously handle common employee human resources inquiries.
112. Sirion’s Redline Agent, powered by Azure OpenAI, delivers precise, context-aware edits via an agent that generates issue-specific, surgical redlines grounded in the enterprise playbook.
113. Three Crowns rolled out Microsoft Copilot across its legal and business services teams, confident that their data would remain secure, inaccessible to third parties and never used for public training. The firm now uses simple natural-language searches to efficiently access information across Outlook, Teams chats, and meeting recaps. The time savings for lawyers enable them to deliver value more efficiently to clients.
114. Trilegal has been investing significantly in an enterprise-grade, bespoke AI-powered document management solution (DMS). This is the center piece of a law firm’s delivery capability. The DMS offers end-to-end features and functions relevant to the key tasks of its lawyers and helps them focus on the strategic and high-end parts of the value chain. The AI-powered DMS uses AZURE OpenAI and Azure AI services.

Manufacturing

115. Brandix adopted the Microsoft 365 Copilot suite to enhance productivity and streamline operations for executive staff.
116. Eaton adopted Microsoft 365 Copilot to automate the creation of 1,000 standard operating procedures to streamline customer service operations and improve data access across teams, cutting creation time from one hour to 10 minutes.
117. Fater has integrated Microsoft Copilot into Microsoft Sustainability Manager’s external reporting solution to comply with CSRD and GRI standards. This feature enables the automatic retrieval of factual data points by uploading customer documents containing quantitative and qualitative information. This helps the team quickly identify data that can be used to accelerate external regulatory reporting duties, resulting in savings in report preparation.
118. Florida Crystals Corporation uses Microsoft 365 Copilot to create process efficiencies with meeting-generated content, indexing, and searching. It’s also exploring Copilot Studio to automate and improve industrial control systems, with the goal of improving overall productivity and reducing costs.
119. Honeywell employees are saving 92 minutes per week—that’s 74 hours a year. Disclaimer: These statistics are based on an internal Honeywell survey of 5,000 employees, with 611 responses.
120. Joyson Electronics uses Microsoft 365 Copilot to help employees achieve a leap in efficiency across multiple workflows, such as meeting minutes, mail processing, and document conversion.
121. Kodak Alaris uses Microsoft Copilot in Dynamics 365 Customer Insights to streamline tasks and save time. Copilot suggests text for common emails, event invitations, newsletters and campaigns.
122. Kwong Cheong Thye (KCT) uses Microsoft Copilot to automate sales analysis and procurement planning. By doing this, the brewery has saved significant time on these tasks, effectively doubling its efficiency. This transformation has freed up valuable resources, empowering it to focus on customer relationships and revenue growth.
123. Michelin has implemented Microsoft 365 Copilot and an in-house generative AI chatbot named “Aurora” powered by Azure OpenAI. This initiative aims to help employees enhance their work and team performance, significantly increasing productivity.
124. PGP Glass introduced Microsoft 365 Copilot internally to help with repetitive tasks. The team estimated a 30 to 40 minutes per day increase in productivity, enabling employees to focus more on priorities and strategic tasks.
125. Sabanci Holding implemented Fabric, Power BI and Microsoft 365 Copilot in Fabric to automate data collection, analysis, and visualization into financial sales. Employees can now access consolidated data on a single platform, enabling a comprehensive understanding of business and operational performance. By eliminating inefficiencies, it has seen significant improvements.
126. Sandvik created the Manufacturing Copilot, built with Azure OpenAI and Azure AI Search, to provide easy access to years of product documentation. By using it, employees have improved productivity by up to 30%, enhanced customer support, and accelerated training processes.
127. Sandvik Coromant is using Microsoft Copilot for Sales to drive efficiency and accuracy, shaving at least one minute off each transaction, allowing sellers and account managers to focus their expertise on responding to customer’s needs with analysis, creativity, and adaptability.
128. Topsoe achieved 85% AI adoption among office employees in seven months, significantly enhancing productivity and business processes.
129. Toshiba deployed Microsoft 365 Copilot to 10,000 employees to optimize their usage and effectiveness. In addition, Microsoft 365 and Viva Insights logs were combined and analyzed to promote further utilization. Savings of 5.6 hours a month per employee were confirmed. Copilot also identified process areas for improvement, such as procurement and related document searches.
130. Volvo Group developed a solution using Azure AI services and Azure AI Document Intelligence to simplify document processing and meet the objectives of data extraction from images and translation. The solution has saved Volvo Group more than 10,000 manual hours. 
131. Würth Group leverages Microsoft 365 Copilot to enhance IT team efficiency, streamline routine tasks, and facilitate multilingual communications.
132. YAMASHITA adopted Fabric as its new data platform, attracted by intuitive AI-based data visualization and analytics capabilities for democratizing data.

Media and entertainment

133. Bennett, Coleman & Co. Ltd./The Times Group introduced Microsoft 365 Copilot across human resources, sales, finance, and merger and acquisition to automate routine tasks, streamline workflows, and empower teams to work more efficiently.
134. Games Global used Copilot Studio to develop a chatbot to handle frequent employee inquiries about human resource-related topics. They also used Microsoft Power Platform and Copilot Studio to automate processes for a variety of business groups like finance and compliance that are now saving hundreds of hours, giving them more time to focus on higher value responsibilities.
135. Globo adopted Microsoft 365 Copilot, which saved two hours monthly per employee, but it also resulted in greater autonomy and precision in operations, fostering a culture of innovation and literacy in AI and automation that aligned with the company’s business goals.
136. InMobi embraced Azure AI and Microsoft 365 Copilot to streamline employees’ business workflows. Integrating GitHub Copilot into engineering, they generated 50 to 60 million predictions per second with its 15 to 20 machine learning models.
137. KRAFTON leverages Microsoft 365 Copilot and Azure OpenAI to transform its operations. These tools facilitate communication with publishers and partners globally through emails, documents, and meeting minutes. Additionally, they enable real-time translations for clearer communication and assist in interpreting and extracting data in Excel for reporting.
138. Leviatan Group use Microsoft 365 Copilot to optimize existing workflows and get even more from its key business platform. This allows it to access critical information in a matter of seconds. The continuous improvement team is also innovating with Copilot Studio.
139. MultiChoice embraced Microsoft Copilot for its IT Project Management Office (PMO) to automate meeting minutes, accelerate project timelines, and ensure clear and unbiased communication. The team can now make more informed decisions and save time to perform more strategic and proactive risk management.
140. OPAP integrated Microsoft 365 Copilot to transform its daily workflows, using Copilot for a wide range of tasks—from summarizing emails to gathering data and enhancing operational efficiency.
141. Sanoma used Azure OpenAI’s GPT-4 to generate local weather reports from data provided by the Finnish Meteorological Institute. These forecasts are read by a lifelike synthetic voice, created using Custom Neural Voice (CNV), part of Azure AI Speech Service. This automated system allows Sanoma to produce localized forecasts across 26 regions. The system significantly reduces costs, enabling local ad revenue growth, and their synthetic voice outperforms others on the market 70% of users said they found it well-suited for news.
142. Square Enix adopted Azure OpenAI Service to develop a Slack-integrated chatbot, “Hisui-chan,” to provide game developers with instant answers to their questions about game engines.
143. WPP T&Pm used Microsoft Azure OpenAI and the Sora video generation model to bring early creative concepts to life and streamline the creation of high-quality, personalized video content at scale. This approach not only accelerates production timelines but also reimagines the role of technology in creativity—enabling teams to experiment, iterate, and build ideas in ways that weren’t previously possible.

Nonprofit

144. British Heart Foundation is currently testing Microsoft 365 Copilot. Early results suggest that this tool could save users up to 30 minutes each day.
145. Centro de la Familia used Power Apps to build a solution that integrates customizable reports and analytics with secure, role-based access to data, and an agent built with Copilot Studio that automates report generation. They have achieved a fivefold reduction in time spent on administrative processes and a 54% reduction in costs, while their AI-powered agent has reduced report generation from hours to minutes.
146. Goodwill of Orange County created an AI-powered app using Azure AI capabilities to assist more individuals, including those with developmental, intellectual, and physical disabilities, in securing unfilled e-commerce positions.
147. Head Start Homes teamed up with ONGC Systems to integrate Microsoft 365 Copilot. This AI assistant drafts content, enables virtual team collaboration, facilitates hiring, and completes repetitive tasks. Copilot boosts the leadership team’s productivity by over 30%, allowing staff to focus more on client services and help more clients become homeowners.
148. Make-A-Wish has transitioned to the Azure cloud and Microsoft Fabric, unifying its data and rebuilding vital applications. The organization has implemented Microsoft 365 Copilot across its national office and regional chapters. A cohesive security strategy ensures the protection of sensitive family data. Microsoft technology enhances staff efficiency and productivity, allowing them to focus on mission-critical work. Improved data visibility enables leadership to support chapters, increase revenue, plan for the future, and maximize the number of wishes granted.
149. Malteser implemented Microsoft 365 Copilot, significantly saving staff time. The AI assistant helps streamline administrative tasks, evaluate new projects, automate repetitive processes, and quickly answer questions. By delegating these tasks, staff can focus more on high-impact work. They now have more time and energy to coach their teams, collaborate with colleagues, improve service projects, and innovate solutions that benefit people globally.
150. McKnight Foundation has implemented Microsoft 365 Copilot for all its staff, resulting in significant time savings, increased productivity, and more opportunities to focus on strategic priorities.
151. NFL Players Association integrated Azure AI services and Azure App Service into their video review process. This integration has reduced review time by up to 73%, significantly increasing efficiency and enhancing player safety through consistent rule enforcement.
152. RTI International adopted Microsoft 365 Copilot to enhance productivity, enabling staff to focus on their areas of expertise and deliver even better science-backed solutions for clients.
153. Special Olympics implemented Copilot throughout the organization to help staff save thousands of hours annually on administrative tasks—time which it can reinvest back into supporting the athletes.

Pharmaceuticals

154. Daiichi Sankyo leveraged Azure OpenAI Service and Azure AI Search to create its in-house generative AI system, DS-GAI, within a month. Over 80% of respondents in a company-wide survey reported that DS-GAI has enhanced productivity and accuracy. Additionally, the company developed Copilot Chat and introduced Microsoft 365 Copilot.
155. Indegene used Microsoft 365 Copilot to significantly reduce time spent, enhance overall efficiency, and improve productivity in tasks like scientific content writing and coding.

Professional services

156. Accenture and Avanade have launched a Copilot business transformation practice, supported by Microsoft. They have co-invested in new capabilities, solutions, and training to help organizations securely and responsibly reinvent their business functions using generative AI and Copilot technologies.
157. Accenture used Copilot Studio and Power Platform to grow its Center of Excellence team and achieve significant savings each year with this new model. They now have more than 50,000 newly skilled citizen developers and have reduced IT demand for short-term applications by 30%, allowing professional developers to focus on more complex projects.
158. Adobe is integrating Adobe Experience Cloud workflows and insights with Microsoft 365 Copilot to deliver generative AI-powered capabilities that enable marketers to enhance collaboration, efficiency, and creativity.
159. Advanced IT used Microsoft Copilot for PowerPoint, teams meeting minutes, RFP bullet points, and Excel to boost its sales and marketing efficiency by over 50%.
160. Amey leverages SharePoint agents to enable employees to quickly find answers via a chat interface on their mobile devices. Offering real-time troubleshooting and multilingual support minimizes risks and ensures employees return home safely each day.
161. ANS leverages Microsoft Copilot and agents to enhance the selling process. Sellers can request an agent to gather and summarize information from various data sources, gaining valuable insights from past customer interactions while ensuring the protection of customer data. This enables sellers to prioritize their time and focus on the most critical accounts and opportunities, which is expected to boost ANS’s closing ratio by 6.25%.
162. Arthur D. Little leveraged Azure OpenAI Service to create a solution that enables consultants to efficiently analyze and understand complex document formats while ensuring strict data confidentiality. This innovation allowed consultants to prepare for client meetings more quickly and curate presentation content 50% faster.
163. Arup uses Microsoft 365 Copilot to improve productivity and efficiency across the organization. They also use AI to develop proprietary applications built by their analytics and AI team.
164. Atera has integrated the Azure OpenAI Service into its AI-powered platform to offer a comprehensive view of IT activities. This integration helps in proactively identifying issues and providing immediate solutions. The AI engine also enables end users to troubleshoot and auto-resolve tickets without the need for IT intervention, significantly enhancing the efficiency of IT professionals.
165. Atos adopted Microsoft 365 Copilot to improve employee well-being by simplifying time-consuming tasks. This allows employees to concentrate on more important aspects of their work, fostering creativity and efficiency.
166. Aurigo used GitHub Copilot to enable its developers to focus on the logic and architecture of their code, allowing them to create functional prototypes more efficiently.
167. Avanade transitioned to Microsoft Fabric to consolidate all data into a single platform, eliminate redundant data, simplify processes, save time, and enhance the employee experience.
168. AvePoint deployed Microsoft 365 Copilot, enabling 95% of participants to save one to three hours per week by automating repetitive tasks. This allowed them to focus on higher-value work.
169. AvePoint developed ChatAVPT using Copilot and Azure OpenAI, integrating data from various sources to assist support teams. AVA, a self-service support assistant, has reduced support response times and improved issue response efficiency, helping customers find answers faster. The team also uses GitHub Copilot to accelerate code development, streamline debugging and documentation, ultimately reducing time to market and improving developer productivity.
170. AvePoint utilizes GitHub Copilot to accelerate its development lifecycle, reduce time to market for new features, and ensure continuous innovation. They also used Azure AI to develop ChatAVPT, which provides real-time information and guidance to employees.
171. Balfour Beatty uses AI agents to identify quality assurance, particularly in how it tests what it builds and installs. AI’s ability to decipher, reason, and streamline decision-making is particularly valuable. They see this come to the forefront in both quality control and safety management.
172. baseVISION AG implemented Microsoft 365 Copilot, Microsoft Purview, and Microsoft Defender to centralize AI usage control, enhance data protection, boost efficiency, reduce data protection risks, and save up to CHF 70 per employee per month by exclusively using Copilot.
173. Birlasoft deployed Microsoft 365 Copilot and developed a bot to manage 94% of policy-related queries and ten applications, significantly enhancing operational efficiency.
174. C3IT (SAXON) used Microsoft 365 Copilot when it they developed Copilot PM Assist to help project managers prepare project documentation 30% faster and reduce the time to create project kick-off presentations by 60%.
175. Cactus Communications leveraged Microsoft 365 Copilot to automate routine tasks and enhance content generation under human supervision, achieving a 15 to 20% increase in efficiency.
176. Capita is leveraging GitHub Copilot to enhance productivity, boost developer satisfaction, and improve recruitment and retention.
177. Capita adopted Microsoft 365 Copilot to empower employees and drive innovation across the business. The most prominent agent is AskMeAnything (AMA), a search tool that helps employees navigate its vast SharePoint estate. To date, Copilot has saved 9,000 employee hours per month and increased accessibility and inclusivity.
178. Capita developed CIVA—the Capita intelligent virtual assistant, using Azure AI service and Azure AI Bot service to handle first-line support, resolving 70% of the workload for human service desk workers.
179. CapitaLand Investment deployed GitHub Copilot to automate the development process. It has halved infrastructure costs, boosted developer productivity by 35%, and delivered updates 50% faster.
180. CDW leveraged Microsoft 365 Copilot to enhance work quality for 88% of users, enabling 77% to complete tasks more efficiently, and boosting productivity for 85% of users.
181. Cognizant uses Copilot to streamline the client quarterly business review (QBR) workflow. They now use Copilot to automate research, compile insights, and build presentations, saving 90 minutes per task. This efficiency empowers client success managers to apply a consistent approach across all reviews and frees up their schedules to spend more time with more customers.
182. Dar built PARA Copilot, a multi-agent conversational user interface (CUI) using Azure OpenAI services, Microsoft Azure AI Vision, and Azure AI Foundry. Employees can interact with data via text or speech to get answers, insights, or directions in three seconds or less, with a 25% higher accuracy for document processing. Engineers noted a 50% improvement in discoverability of information, enabling operators and other stakeholders to have a real-time conversation with their buildings about operational performance.
183. Embee adopted Microsoft Copilot Studio to develop tailored plug-ins that redefine productivity and efficiency. By using GitHub Copilot for code validation and testing automation, their developers experienced a 30% productivity boost.
184. EPAM is implementing Microsoft 365 Copilot to streamline information management and create content and documents.
185. EY is deploying Microsoft 365 Copilot and Microsoft Dynamics 365 Copilot for Sales in the Oceania region to enhance productivity and collaboration, streamline processes, and provide faster access to meaningful insights. They are also integrating AI into daily operations to reimagine processes for growth and enrich customer experiences.
186. EY Global Tax practice developed a tax and legal research agent in Copilot Studio that offers instant access to 21 million documents, including EY publications, internal know-how, and templates. The agent quickly understands users’ questions and intent, finding the most relevant information in seconds. It adapts to different countries to meet local needs, providing comprehensive answers anchored in the company’s curated content and direct links to source materials. Now, tax professionals can find insights more efficiently and offer richer, more informed advice to their customers.
187. EY Global Tax developed a plugin to extend the capabilities of Microsoft 365 Copilot to meet the specific needs of the tax organization. This allows them to spend less time searching for information and more time using relevant data to make smarter business decisions for themselves and their clients.
188. EY adopted the Purview SDK to embed policy-based controls into AI applications. This includes applying sensitivity labels, monitoring AI interactions, and logging activities to support compliance and secure-by-design deployment at scale. By using the Purview SDK early in development, EY reduced secure feature build time by 25% to 30%. Teams are now designed with data security and compliance in mind, reducing delays and enabling faster rollout of generative AI tools in regulated environments.
189. Four Agency Worldwide increased boosted employee productivity with Microsoft 365 Copilot. This tool helps generate creative ideas, supports administrative tasks, analyzes data, and generates reports. As a result, staff can focus more on outreach and spend less time on paperwork.
190. Grant Thornton Australia leverages Microsoft 365 Copilot to enhance employee productivity, from drafting presentations to researching tax issues. Copilot saves employees two to three hours per week.
191. GroupeActive partnered with Witivio to develop an AI agent based on Microsoft Copilot Studio that drafts sales proposals saving an average of 75% on drafting time.
192. HCLTech leveraged Microsoft 365 Copilot and GitHub Copilot to create TeamSight, a platform designed to accelerate engineering processes, track progress, and fine-tune key performance indicators (KPIs).
193. HP incorporated GitHub Copilot into its software development workflow, and developers quickly found that they code faster and solve issues more quickly without getting bogged down in tedious code scaffolding and syntax. Since embracing GitHub Copilot, their developers feel more supported and are better able to collaborate, reporting substantial increases in productivity.
194. Infosys leveraged GitHub Copilot to accelerate the development of features and bug fixes, resulting in higher quality code.
195. Insight Enterprises employees using Copilot gain four hours of productivity per week through data summarization and content creation.
196. Insight Enterprises adopted Microsoft 365 Copilot, transforming its organization by incorporating features such as meeting summaries, content creation, and standardization into its daily workflow. They have also developed Insight GPT using Azure OpenAI to boost business productivity.
197. Intertech leveraged GitHub Copilot and Azure OpenAI Service to enhance DenizBank’s IT operations. The team experienced a significant increase in coding accuracy, improved collaboration, and elevated software quality with meticulous documentation. Additionally, they reduced daily emails by 50%.
198. Jersey Business leverages Microsoft 365 Copilot to enhance team productivity, reducing application time by 40 minutes and allowing the team to spend more face-to-face time with Jersey Business leaders.
199. Kantar is leveraging Microsoft 365 Copilot to streamline IT processes and enhance employee productivity.
200. KMS Lighthouse has improved its knowledge management platform by integrating with Microsoft Teams and Dynamics 365. This allows users to utilize KMS Lighthouse without needing to switch applications. Additionally, with Azure OpenAI Service, companies can generate relevant content more efficiently within the KMS Lighthouse application.
201. KPMG used Microsoft AI to develop a team member onboarding agent that guides new hires, providing templates and historical references to speed up onboarding and reduce follow-up calls by 20%.
202. KPMG Australia leverages Microsoft Azure OpenAI, Azure AI Search, and Microsoft 365 Copilot to conduct advanced text analysis on numerous client documents. This enables them to quickly identify compliance levels, significantly reducing the time needed compared to manual assessments.
203. KPMG Australia used Azure OpenAI to develop KymChat, a conversational AI assistant. It added Azure Cosmos DB for MongoDB vCore to the solution to increase the quality and speed of its query responses from 50% to 91% in under a second.
204. KVL Bauconsult collaborated with quality hosting to deploy Microsoft 365 Copilot and fully integrate it into the company’s data. This integration allows KVL employees to delve deeper into projects more quickly and efficiently. Transfer errors are reduced, the quality of information improves, and collaboration benefits from greater transparency.
205. LambdaTest integrated GitHub Copilot into its workflow, resulting in a significant 30% reduction in development time.
206. Linker Vision developed Observ, built on the VisionAI platform and integrated with Azure AI. This solution enables real-time streaming and monitoring of personnel in highly labor-intensive manufacturing environments, enhancing workplace safety.
207. LTIMindtree introduced Copilot declarative agents to address challenges faced by senior leadership and presales/transition teams with request for proposals (RFPs) and requests for information (RFIs). It also used GitHub Copilot to increase development speed and improve test coverage.
208. LTIMindtree leverages Microsoft Security Copilot to establish a unified command center for investigations, threat intelligence, and incident response. This empowers them to build a next-generation Security Operations Center (SOC). Consequently, they have experienced a 30% boost in overall employee efficiency, with 20% less time spent on emails and daily task allocation.
209. Lucy selected a range of Azure services, including Azure AI video indexer, Azure Kubernetes Service (AKS), Translation, Azure OpenAI, Azure AI Language Studio, and Azure AI services to develop Lucy®, the answer engine® that reinvents knowledge management. Lucy operates across various industries and departments, enhancing productivity by eliminating the countless hours teams spend searching for shared drives, scouring documents, distracting colleagues, and re-creating existing resources.
210. McGee Property utilized Microsoft Copilot to analyze documents, create summaries, support event preparation, and address general marketing needs.
211. mci group uses Microsoft 365 Copilot to enhance the use of AI and other technological advances, boosting employee efficiency.
212. Moveworks utilized Azure OpenAI to enhance its conversational AI platform, enabling enterprises and government agencies to receive support in seconds. This service delivers rapid, personalized responses in their native language, minimizing workflow disruptions.
213. Mphasis used Microsoft 365 Copilot across finance, human resources, legal, marketing, and IT to enhance productivity and creativity within their operational processes.
214. Noventiq used Microsoft 365 Copilot to improve operational efficiencies. Within four weeks of implementation, it saved 989 hours on routine tasks, boosting productivity that resulted in an estimated value of INR 989K.
215. NTT DATA introduced AI services using Microsoft Copilot Studio, Power Platform, and Azure AI Foundry to deliver high-performance AI solutions, enhancing efficiency and scalability for clients and employees. They achieved up to 65% automation in IT service desks and up to 100% automation in certain order workflows.
216. NTT DATA adopted Fabric data agents and Azure AI Foundry Agent Service to build conversational AI tools that help employees retrieve, interpret, and act on real-time data. This allows for more intuitive, role-based access to insights and enables a 50% faster time to market.
217. Nykaa leveraged GitHub Copilot to speed up development cycles. By automating repetitive tasks like code completion, developers boosted productivity by 20%, resulting in significant cost savings and faster feature releases.
218. Onepoint created a secure conversational agent using Azure OpenAI, resulting in productivity gains of 10% to 15% across all business lines.
219. PA Consulting revamped its sales operations using Microsoft 365 Copilot and Copilot for Sales. This transformation allows its team to dedicate more time to high-impact activities for clients, thereby maximizing the strategic value they deliver.
220. PageGroup leveraged Azure OpenAI to develop tools that assist consultants in creating job postings and advertisements, saving up to 75% of their time.
221. Perplexity.AI used Azure AI Studio and Azure OpenAI services to help it try out large language models and prototypes in hours. It also supported a faster time to market, serving as a force multiplier for its lean staff, providing the scale to support millions of users, and delivering security and reliability at a cost-effective price.
222. Persistent Systems developed Contract Assist, an AI-powered agent built using generative AI and Microsoft 365 Copilot, to reduce emails during negotiations by 95% and cut navigation and negotiation time by 70%.
223. PKSHA Technology is optimizing their time on critical work by increasing efficiency in meeting preparations, data analytics, and ideation with the help of Microsoft 365 Copilot.
224. PRICEWATERHOUSECOOPER (PwC) developed ChatPwC using Azure OpenAI, GitHub Copilot, and Microsoft 365 Copilot to provide employees access to proprietary generative AI plugins that help it increase productivity and the capacity to realize additional value for customers.
225. Rau Consultants leverage Microsoft 365 Copilot to streamline their interview process, transcribe interviews, create candidate profiles, translate, and draft job listings or proposals, resulting in significant time savings
226. Roland Berger implemented a central knowledge hub using Azure. Specialized AI agents retrieve information from Azure AI Search, while Azure OpenAI provides access to pre-trained AI models for analysis. These agents are integrated into Microsoft 365 Copilot, making it easier for consultants to access knowledge and streamline processes.
227. Siemens is using Azure OpenAI to enhance efficiency, reduce downtime, and tackle labor shortages.
228. Siemens Digital Industries Software used Azure OpenAI and Azure AI Foundry to create a Teams app for its industry-leading product lifecycle management (PLM) solution, Teamcenter. This app uses natural language processing for real-time issue reporting. It can translate informal speech data in any language, automatically creating a summarized problem report and routing it within Teamcenter to the appropriate design, engineering, or manufacturing experts—in the specific language they require.
229. Silverlake Group introduced CatgWorkz, a solution designed specifically for financial institutions. Powered by Azure and AI, CatgWorkz seamlessly integrates with existing systems, enabling organizations to automate up to 80% of routine tasks, thereby reducing costs and boosting productivity.
230. Softcat leveraged Microsoft 365 Copilot to achieve significant time savings and quality improvements. The sales teams reported a 20% reduction in administrative tasks, allowing them to focus more on sales activities.
231. Sonata Software developed the IntelliPipe accelerator, which is part of its Lighting Data Suite that uses Fabric and Microsoft Copilot to create comprehensive business-360 views for customers to access the multi-department data they need for faster reporting and forecasting.
232. Syensqo used Azure OpenAI develop a custom AI chatbot in three months, which improved their internal data management, decision making, and overall efficiency.
233. Synechron utilized Azure OpenAI to develop Synechron Nexus Chat, which provides secure, enterprise-grade multilingual capabilities for global teams in human resources, finance, marketing, and legal. The solution led to a 35% productivity increase for these teams.
234. Talan deployed Microsoft 365 Copilot to its client-facing professional services and business support professionals, significantly increasing productivity and engagement across its human resources, marketing, and consulting teams.
235. Tata Elxsi integrated GitHub Copilot into its video distribution platform and testing process. This integration improved code generation quality, reduced effort, and accelerated the delivery of products and solutions, providing seamless video experiences to its end customers.
236. TeamSystem adopted Power Platform, integrating applications like Power Apps and Copilot Studio with legacy apps to help developers quickly build new prototypes and address business client needs. They have started creating agents using Copilot Studio to help employees better utilize their suite of products. The plan is to build agents to enhance productivity across various departments, from marketing to finance.
237. TekSynap used Azure AI Services to streamline internal workflows, reduce IT complexity, and equip employees with AI-powered tools. As a result, they cut search time by 75%, eliminated outages, and saved $99,000 in hardware costs.
238. Thinkbridge utilized Azure OpenAI, GitHub Copilot to develop a fully integrated AI-based “Digital Recruiter” within the existing Application Portal, which is used daily by recruiters.
239. Thread deployed Azure OpenAI to help automate time-consuming tasks, saving technicians more than an hour per day in manual data entry and other administrative duties.
240. Top Ledger, a cutting-edge blockchain analytics platform, uses Azure OpenAI Service to train a model tailored to understand Solana blockchain data. This accelerates query creation and fosters a better understanding of decentralized protocols.
241. Trace3 uses Microsoft 365 Copilot to streamline and enhance processes across the business and with clients. This includes reducing the time it takes human resources recruiting managers to respond to applicants from several weeks to just a couple of days.
242. TVS Next utilized Azure OpenAI services and Microsoft Copilot to develop NexAA, which seamlessly integrates with human resources systems to enhance employee engagement, foster innovation, and promote continuous learning.
243. UiPath leverages Azure OpenAI to enhance its products, including communications mining and document understanding. These tools automatically triage customer communications, prioritize and route underwriting requests, increase transaction throughput by sevenfold, and have saved one insurance industry customer more than 90,000 hours through more efficient operations.
244. Unifonic adopted Microsoft 365 Copilot to streamline operations, automate workflows, and secure data within a single platform. The unified Microsoft ecosystem enabled employees to reduce audit time by 85%, save $250,000 in costs this year, and save two hours per day on cybersecurity governance.
245. Unifonic leverages Copilot to enhance efficiency across the organization. The sales team swiftly analyzes conversations across various platforms, extracting insights in minutes rather than hours. Copilot also simplifies content creation for proposals, email campaigns, and social media, leading to a 20% increase in sales outreach. Organization-wide, Copilot has reduced research, documentation, and summarization time by up to 40%.
246. Urban Company used Azure OpenAI services to use chatbots deploy chatbots, resolving 85% to 90% of queries. This increased customer satisfaction by 5% and improved audit and decision accuracy to over 80%. 
247. Visier developed a generative AI assistant using Azure AI and Azure OpenAI to provide workforce analytics and actionable insights for more than 50,000 customers.
248. Wipro utilized GitHub Copilot to streamline code writing for developers. They also leveraged Azure OpenAI to enhance their generative AI solutions, enabling large-scale AI transformation across the organization.

Retail and consumer goods

249. Albert Heijn leveraged Azure OpenAI to create a conversational assistant within its @AH Employee App for store employees. This assistant answers questions related to their tasks and customer requests. Since adopting the app, they are already seeing improvements in the efficiency of labor-intensive processes, such as restocking shelves, and in how employees assist customers directly.
250. Almdudler deployed Microsoft 365 Copilot to assist employees with everyday work. Whether in marketing, key account management, controlling, accounting, supply chain, pricing, or people and culture—Microsoft 365 Copilot helps teams work more efficiently.
251. Asahi Europe & International (AEI) has adopted Microsoft 365 Copilot, helping employees save up to 15% of the time they previously spent on administrative tasks.
252. Campari Group adopted Microsoft 365 Copilot to help employees integrate it into their workflow. This resulted in time savings of about two hours a week by supporting routine activities such as email management, meeting preparation, content creation, and skill acquisition.
253. Canadian Tire Corporation moved its data from on-premises systems to Microsoft Azure and built digital assistants using Azure OpenAI. As a result, more than 3,000 corporate employees now save 30 to 60 minutes daily with the ChatCTC digital assistant.
254. Dairy Farmers of America (DFA) used Microsoft 365 Copilot to help employees’ efficiency and improve customer connections. Employees experienced substantial time savings on routine tasks—some as high as 20 hours per month.
255. ECE Group deployed Microsoft 365 Copilot to help employees quickly and easily search the company’s entire knowledge base. The solution also supports repetitive tasks and efficiency in processes, in fact 70% of employees want to keep using Microsoft Copilot.
256. ESW uses GitHub Copilot to boost productivity by 25% and enable developers to concentrate on higher-level components of their code—ultimately making them feel more fulfilled.
257. HEINEKEN used Azure AI Foundry to create a multi-agent platform that enables employees to access data and information across the company in their native language. With the help of Hoppy, an AI assistant, employees can now access intelligent and secure insights. Hoppy has significantly reduced the time required for simple tasks, from 10-15 minutes to just 5-10 seconds.
258. HEINEKEN leveraged Azure AI to develop a voice bot to help its on-site sales representatives in logging the status of retail locations, raising technical issues, and initiating necessary processes on the HEINEKEN side. The app is also multilingual thanks to Azure AI Speech, letting representatives speak in either Greek or English. Other AI projects for the field include the use of Azure AI Document Intelligence for intelligent document processing in multiple areas, including for sales representatives.
259. HoMie uses Microsoft Copilot to be more efficient in creating products, allowing more time and money to be spent on social impact programs.
260. Joos uses Microsoft 365 Copilot to enhance its brand through global collaboration, streamlining meetings, optimizing presentations, and improving communications.
261. McDonald’s China chose Microsoft Azure AI, GitHub Copilot, and Azure AI Search to transform its operations. This transformation led to a substantial rise in AI adoption, usage, and retention, with employee transactions increasing from 2,000 to 30,000 per month.
262. MediaMarktSaturn developed MyBuddy, a multi-language, real-time, voice-enabled AI agent using Azure OpenAI. This tool enables store associates to converse with customers while seamlessly interacting with an advanced AI assistant. As a result, retail conversations are more natural and confident—ultimately driving better outcomes in-store.
263. Newman’s Own is using Microsoft 365 Copilot to improve employee productivity and reduce costs. By summarizing industry news, they save 70 hours per month, and preparing marketing briefs saves them another 50 hours per month. This has significantly boosted employee engagement and retention.
264. Otto Group developed ogGPT based on Azure OpenAI to help employees streamline and simplify their daily operations and internal processes.
265. Roquette developed a chatbot called RoqGPT using Azure OpenAI to assist employees in providing relevant audit trails and identifying risks. This enables them to process this information in a secure environment, which is crucial in their line of business.
266. Softchoice employees are experiencing firsthand how Microsoft 365 Copilot can transform daily workflows. They have seen a 97% reduction in time spent summarizing technical meetings and up to 70% less time spent on content creation.
267. SPAR used Microsoft 365 Copilot to streamline tasks, resulting in a 67% active user base among employees, saving approximately 715 hours—equivalent to 89 workdays or the output of four full-time employees. In addition, 93% of Microsoft 365 Copilot users reported increased productivity, and 88% felt empowered to complete tasks faster.
268. Unilever is transforming their marketing process with Microsoft 365 Copilot. This tool saves time on briefing tasks by automatically pulling in relevant market data, content, and insights, accelerating campaign launches.

Telecommunications

269. AT&T used Azure OpenAI to automate IT tasks and provide employees with quick responses to basic human resource requests—leading to increased efficiency, improved work-life balance, and reduced costs.
270. KT adopted Microsoft 365 Copilot to improve work efficiency. Employees can now quickly organize important schedules, summarize email threads, and search for internal documents using AI. New hires have improved their understanding of their roles. Data analysis and information accessibility have improved, making existing documents valuable knowledge assets.
271. Lumen uses Microsoft Copilot to summarize past sales interactions, generate recent news, identify business challenges, track broader industry trends, and provide insights and recommendations for next steps. This process traditionally took up to four hours per seller. In 2024, Lumen reduced that time to just 15 minutes, projecting annual time savings worth USD50 million.
272. NTT Communications implemented Microsoft Security Copilot to upskill a more diverse talent pool faster while helping senior analysts work more efficiently. They have automated identification, prevention, detection, response, and recovery—improving security operations efficiency without increasing labor costs.
273. O2 Czech Republic boosts productivity and streamlines meetings with Microsoft 365 Copilot, transforming information sharing and integrating automation into daily tasks.
274. Orange Group has more than 40 use cases with Azure OpenAI and GitHub Copilot across business functions. These tools support employees in their daily tasks, allowing them to focus on more valuable activities.
275. Sunrise adopted Microsoft 365 Copilot to reduce its employees’ risk of digital debt and saw this as another opportunity to stay one step ahead of the competition. Microsoft 365 Copilot eliminates tedious tasks and empowers employees to do more of the tasks they love.
276. Telstra developed two cutting-edge generative AI tools based on Microsoft Azure OpenAI. The One Sentence Summary tool is utilized by 90% of employees, leading to a 20% reduction in follow-up customer contact. Additionally, 84% of customer service agents are using the Ask Telstra solution.
277. Telstra deployed Microsoft 365 Copilot for its 21,000 employees, who are using it to draft content, summarize meetings, and emails or chat threads. Users reported saving between 1 to 2 hours per week with 90% reporting that Microsoft 365 Copilot improved their experience at work. They also developed Ask Telstra to help frontline employees better serve their customers.
278. Vodafone deployed Microsoft 365 Copilot to their 68,000 employees. This deployment has resulted in a four-hour time savings per user each week, enabling employees to focus on more valuable tasks.
279. Amadeus empowers its teams to focus their time and skills on value-added tasks with Microsoft 365 Copilot. This tool summarizes email threads, chats, and transcripts, and consolidates information from various sources.
280. Cathay uses Microsoft 365 Copilot to streamline meetings and manage information more effectively, reducing time-consuming tasks and fostering creativity.
281. CATRION used Copilot Studio and Azure AI services to build internal AI bot agents and a chatbot. The bots handle everyday tasks such as answering policy questions and guiding employees through workflows directly in Microsoft Teams. The chatbot can access policy documents in Teams, allowing employees to quickly and easily find the resources they need.
282. Global Travel Collection (GTC) used Azure AI Foundry and Copilot Studio to design and deploy an AI-powered travel information system called Atlas for its network of corporate and luxury travel advisors. Atlas is saving Global Travel Collection (GTC) nearly 2,000 independent travel advisors a total of more than 1.5 million hours annually on client booking activities—saving the advisors an average of 3 hours per trip.
283. Localiza&Co, a leader in the mobility industry in Latin America, implemented Microsoft 365 Copilot to automate processes and improve efficiency. This implementation resulted in a reduction of 8.3 working hours per employee per month
284. Lotte Hotels & Resorts is transforming its work culture by adopting Microsoft Power Platform for automation. This change enables employees to work more efficiently and focus on their core tasks.
285. Nagel-Group uses Azure OpenAI to help employees quickly access information which saves time, creates efficiency and transparency, and leads to higher-quality answers overall.
286. Prague Airport with support from SoftwareOne, deployed Microsoft 365 Copilot, Azure AI services, and Copilot Studio to reduce repetitive work. Employees save at least two hours per week and can focus on higher-value tasks.
287. Sensei implemented Microsoft 365 to streamline internal applications and enhance system connectivity for improved collaboration. Additionally, Sensei is leveraging Microsoft 365 Copilot to boost efficiency.
288. Textron Aviation used Azure OpenAI and Microsoft Cloud for Manufacturing to deploy TAMI, Which assists frontline technicians in quickly parsing 60,000 pages of maintenance documentation for fast access to technical maintenance instructions. This helps reduce troubleshooting time from 20 minutes to 1 to 2 minutes, aiming to decrease aircraft time under maintenance.
289. The Rider Firm uses Microsoft 365 Copilot to manage tasks and track details that would otherwise get buried in emails and chats. With Copilot in excel, it can organize inventory data feeding directly into its e-commerce listings, making daunting tasks more manageable and freeing up employees to focus on more strategic work.
290. Virgin Atlantic adopted Microsoft 365 Copilot and GitHub Copilot, experiencing significant business benefits such as increased productivity and the introduction of new working methods.

Reinventing customer engagement

We have seen great examples of how generative AI can automate content creation, ensuring there’s fresh and engaging materials ready to go. It personalizes customer experiences by crunching the numbers, boosting conversion rates. It makes operations smoother, helping teams launch campaigns faster. Plus, it drives innovation, crafting experiences that delight customers while lightening the load for staff. Embracing generative AI is key for organizations wanting to reinvent customer engagements, stay ahead of the game, and drive both innovation and efficiency.

Education

291. Berlitz used Azure AI Service and Azure AI Speech to offer new products, allowing the company to serve tens of thousands of new customers with language training. By reducing development costs, they were able to improve speed to market, enabling the team to reinvest in other areas of product innovation and improve customer support.
292. International University of Applied Sciences (IU) has adopted Azure OpenAI Service to transform learning with a personalized study assistant that interacts with each student in a human-like manner.
293. Milpark Education integrated Microsoft Copilot and Copilot Studio, and within four months, significantly enhanced the efficiency and accuracy of student support. This integration led to a 50% reduction in average resolution time and a more than 30% decrease in escalation time.
294. PeopleCert Hellas AE used Microsoft Copilot Studio and Azure OpenAI to build an AI chatbot called CertyPal to improve customer experience. This initiative resulted in a 142% increase in customer satisfaction and a 61% improvement in first contact resolution.
295. Torrens University chose to use Azure OpenAI services to uplift its online learning experience, saving 20,000 hours and $2.4 million in time and resources.
296. University of California, Berkeley used Azure OpenAI services to deploy a custom AI chatbot that supports student learning and helps students with complex coursework.
297. University of Sydney created a self-serve AI platform powered by Azure OpenAI Services, to enable faculty to build custom chatbots for enhancing student onboarding, feedback, career simulation, and more.
298. Xavier College is updating its student information systems using Microsoft Dynamics 365 and Microsoft Azure. This modernization aims to unlock valuable insights, drive innovation, and support data-driven decision-making.

Energy and resources

299. Aydem Energy and Microsoft partner Softtech, used Azure OpenAI Service to create an AI assistant for WhatsApp. This assistant offers customers real-time updates and manages tasks such as meter readings, bill checks, and claims.
300. DTEK’s YANSO has implemented an AI-powered assistant powered by Azure OpenAI service and Azure AI search to help YASNO agents retrieve information faster. Handling more than 300 customer inquiries daily, AI-powered recommendations help agents respond to each in 3.5 minutes on average instead of 4.5 minutes. The AI assistant is expected to automatically process 80% of inquiries.
301. Eneco develop a new AI-powered agent using Copilot Studio. The multilingual AI agent was deployed on the company website in just three months, including integration with Eneco’s live chat platform. The AI agent handles 24,000 chats per month and can manage 70% more customer conversations without needing a handoff to a live customer service representative.
302. National Grid has implemented Azure AI and Microsoft Copilot to enhance customer experience and improve NPS scores. This initiative also supports their ambitions for achieving net zero targets.
303. Pacific Gas & Electric built a chatbot using Microsoft Copilot Studio, that saves $1.1 million annually on helpdesk support.

Financial services

304. ABN AMRO Bank moved to Microsoft Copilot Studio to develop two AI assistants for both customers and employees. ‘Anna,’ the AI agent for customers, now supports more than two million text conversations and 1.5 million voice conversations annually, automating over 50% of interactions with multiple AI agents. The employee agent ‘Abby’ provides easier access to a wide range of IT-related and other internal resources.
305. Absa has adopted Microsoft Copilot to streamline various business processes, significantly reducing the time spent on administrative tasks each day.
306. Aditya Birla Capital Limited is integrating Azure OpenAI services to develop solutions such as Sales Pitch Assistant, Service Assist, Intelligent Search for customers, Audit Compliance Assist, and AI-powered Voice Bots for inbound calls. These innovations aim to enhance productivity and deliver consistent customer experience. 
307. Aditya Birla Capital built the SimpliFi using Microsoft Azure to streamline financial services information and offers. The chatbot leverages intelligent search and proactive nudging, ensuring minimal latency and high scalability.
308. AIA is using Copilot in Dynamics 365 customer service to allow customer service representatives to handle more cases in less time by automating time-consuming tasks like drafting customer emails and summarizing lengthy chats and case histories.
309. Ally Financial is using Azure OpenAI services to automate manual tasks for its customer service associates, allowing them to spend more time engaging with customers.
310. AP Pension has implemented Microsoft Fabric to achieve a previously unattainable level of data organization, making information more accessible and meaningful. These efficiency gains will allow them to dynamically scale their operations, effectively addressing customer needs. The platform’s analytical capabilities will empower the firm to forecast trends and plan strategies with new insights and accuracy.
311. Bank Rakyat Indonesia (BRI) has enhanced its chatbot, Sabrina, with ChatGPT technology through Azure OpenAI Services. This upgrade enables Sabrina to understand various Indonesian regional languages, including Javanese, Sundanese, and Padang. Additionally, Sabrina is now integrated with BRImo, simplifying customer access to BRImo features. An AI-powered search engine is revolutionizing the way customer Service and BRI Call Center Agents manage customer service, significantly reducing the time needed to address customer inquiries and complaints.
312. Bradesco Bank integrated Azure OpenAI Services into its virtual assistant, BIA, significantly reducing response times from days to hours. This integration has enhanced operational efficiency and increased the client retention rate by 89%.
313. Capitec Bank uses Azure OpenAI Services and Microsoft 365 Copilot to power their AI chatbot. This tool helps customer service consultants access product information more efficiently, saving employees significant time each week.
314. ClearBank used Microsoft Azure’s AI capabilities to train its system to apply payment scheme rules, assess claims, and either validate or reject them more quickly. This reduced the time taken for the payment recovery process by 80%.
315. ClearTax leveraged the Azure OpenAI-powered Generative AI Agent, integrated into WhatsApp, to address various challenges and better serve Indian taxpayers. This initiative enabled 75% of users to file for the first time, unlocking INR 300 million in tax refunds and enhancing access to credit opportunities.
316. Commercial Bank of Dubai used Microsoft Azure to upgrade its application infrastructure, improving transaction security and speed. As a result, individual customers can now open an account and start banking in approximately two minutes.
317. Datasite used Azure AI service developed Reaction AI to assist their customers with Mergers and acquisitions. The solution streamlines the redaction process using AI while still safeguarding its customers’ information. Now, the lawyers and investment bankers who coordinate sales can reduce redaction times by up to 80%, helping to move deals forward faster and support successful outcomes.
318. Federal Bank adopted Microsoft Copilot to enhance employee productivity, ensuring that the focus remains on customers and their needs.
319. First National Bank (FNB) leveraging Microsoft Copilot for Sales to assist bankers in crafting professional and thoughtful emails in 13 native South African languages. This initiative aims to enhance customer interactions, streamline communications, and reinforce First National Bank (FNB’s) commitment to innovation and customer service.
320. Groupama deployed a virtual assistant powered by Azure OpenAI Service, providing reliable and verifiable information with an impressive 80% success rate.
321. HYPE uses Dynamics 365 customer service, Copilot in customer service, and AI-powered agents created in Copilot Studio to assist with daily customer interactions. These agents read customer emails, trigger automatic replies, and handle calls about common issues using voice-enabled technology. They also use Copilot Studio agents for customer self-service and onboarding new customers to the app. In the past year, customer agents have reduced human customer service intervention by 70% and increased the first call resolution rate to 90%.
322. Investec is leveraging Microsoft 365 Copilot for sales to enhance client relationships, saving an estimated 200 hours annually. This boost in productivity ultimately delivers a personalized and seamless customer experience.
323. LAQO Insurance collaborated with Infobip to create a digital assistant named Pavle using Azure OpenAI service. Pavle supports customers around the clock, enhancing customer experience and fostering loyalty. Currently, Pavle resolves 30% of customer queries, allowing agents to concentrate on complex cases and customer acquisition.
324. Lowell used Azure AI Service and AI Bot Service to develop a chatbot that now manages 40% of all inquiries—making it easier for service agents to deliver greater value to consumers and better outcomes for their clients.
325. Lloyds Banking Group developed the Branch Translation App using Microsoft Power Apps and Azure AI services with a goal to improve communication with non-English speaking customers. This innovation has enhanced service delivery and received positive feedback from both employees and customers.
326. Milliman implemented Microsoft Fabric to create an all-in-one analytics solution. This comprehensive suite includes data lake, data engineering, and reporting services, which help reduce latency and costs. Additionally, Milliman sought advanced analytics capabilities to enable their clients to quickly understand and mitigate business risks.
327. MONETA Money Bank worked with NTT Czech Republic to create Tom, a voicebot powered by Feedyou Platform and Azure AI, capable of conversing fluently in Czech. Tom engages with 1.5 million customers to address their concerns and perform simple tasks, reducing call center operational costs by 10% and enhancing customer satisfaction.
328. Nasdaq used GitHub Copilot for coding, unit testing, and code reviews. They also utilize AI-powered tools to automate document generation, translation, and communications, saving time for engineers and business leaders. To enhance the client experience, they developed Nasdaq Boardvantage® to equip corporates and board members with the ability to automate document management, allowing customers to save more than 100 hours of manual work annually.
329. Nasdaq developed AI agents with Azure Foundry to assist customers in answering questions about risk, governance, board meetings, and industry insights. Customers have reported a 25% decrease in the time corporate secretaries spend summarizing meeting notes or preparing for meetings.
330. Nationwide used GPT-4 within Azure OpenAI Service to enhance customer support. By automating letter generation, response times improved significantly, dropping from 45 minutes to just 10 to 15 minutes—a remarkable efficiency boost of approximately 66%.
331. Nationwide Building Society turned to Microsoft Marketplace, and Microsoft Partners to help them clean up their data portfolio. They are utilizing Azure OpenAI to explore more advanced solutions to better serve their members.
332. NFU Mutual used Dynamics 365 and Copilot for sales to record every customer interaction, providing a comprehensive view of customers for exceptional service—in a fraction of the time.
333. PKO Leasing used Microsoft Dynamics 365 Contact Center and Copilot to enhance all call center interactions within a single automated platform. This integration saves the team 550 hours each month and boosts customer satisfaction, reflected in a 5-point increase in their Net Promoter Score.
334. Pockyt is using GitHub Copilot and expects a significant boost in productivity, potentially up to 500%, as they continue to integrate AI and optimize their software development life cycle.
335. Rabobank used Copilot Studio to create a virtual agent that delivers friendly and efficient customer service. This innovation has streamlined operations, reduced costs, and enhanced the overall customer experience.
336. Recordsure transitioned to the Azure stack, leveraging Azure OpenAI and AI Foundry to cut production environment costs by 25%, speed up innovation cycles, and launch new products in just two weeks.
337. RHB Bank uses Azure OpenAI services to streamline processes and foster innovation across functions, while maintaining the highest level of security. The use of AI has simplified information retrieval for RHB employees, ensuring customers enjoy a more seamless and efficient banking experience.
338. TMBThanachart (ttb) uses Azure OpenAI service to develop a virtual assistant named ‘Yindee’ that answers questions in both Thai and English, enhancing the customer experience. Yindee has successfully reduced the number of customers contacting the TMBThanachart (ttb) service center by 10% and has achieved a satisfaction score of 80%.
339. Trusting Social integrated Microsoft Azure services to launch AI-powered agents that are revolutionizing banking operations and enhancing customer experiences.
340. UBS is using Azure AI solutions, including Azure AI search and Azure OpenAI services, to power ‘Smart Assistants’ that streamline content access and provide real-time information to client advisors, enhancing efficiency and client engagement.
341. UniSuper leverages Microsoft 365 Copilot to enhance operational efficiency and deliver personalized retirement outcomes. With Copilot, financial advisors save 30 minutes per client interaction by using AI to summarize key details of each conversation. This innovation is projected to save advisors 1,700 hours annually and increase the number of members they can advise by 7%.
342. Van Lanschot Kempen uses Microsoft 365 Copilot to streamline daily tasks, freeing up time for crucial personal connections.
343. Virgin Money developed an award-winning virtual assistant using Copilot Studio to enhance customers’ confidence in their digital products and services.
344. Visionary Wealth Advisors leveraged the CellTrust SL2 communication platform on Microsoft Azure with Microsoft 365 E5 and Microsoft Purview to balance compliance and security while innovating ways to meet customer needs through mobile text messaging and other digital communication. Now, the firm can respond to clients at a moment’s notice.
345. Welcome Account developed a banking application with a conversational agent powered by Azure OpenAI Service to help people manage their finances and administrative procedures. This multilingual agent already assists more than a thousand refugees daily.
346. Yes Bank developed the RM Assist Chatbot (Ask Genie), powered by Azure OpenAI Services, to empower relationship managers with instant, accurate responses to customer queries.
347. Zavarovalnica Triglav leveraged Microsoft Dynamics 365 and Azure OpenAI Services to streamline its operations with automated responses and smart rerouting of customer inquiries.
348. Zurich Insurance Group leveraged Azure OpenAI Services to develop advanced AI applications, leading to more accurate and efficient risk assessment evaluations. This accelerated the underwriting process, reduced turnaround times, and increased customer satisfaction.
349. Zurich Insurance (Hong Kong) leveraged Dynamics 365 Customer Service, Marketing, and Contact Center to integrate communication channels, streamline case management, and automate processes. Agents were also created in Microsoft Copilot Studio to simplify customer support, reduce email and call volumes, offer deeper insights into customers, and streamline marketing campaigns and activities.

Government

350. Abu Dhabi government services have utilized the Tamm App to bridge the gap between government workers and the citizens, residents, and businesses who require services. The TAMM platform is powered by Microsoft Azure OpenAI Services and G42 Compass 2.0.
351. City of Buenos Aires developed Boti with ChatGPT using Azure OpenAI Services to manage multiple service channels and personalize key services for residents and tourists. The chatbot centralizes data, enables natural language interactions, and scales to handle high demands. It manages 2 million queries per month without human intervention, alleviating the operational burden by 50%, improving the citizen experience, and increasing efficiency.
352. City of Burlington developed two AI-powered solutions the MyFiles system, which uses Microsoft Power Platform for building permits, and CoBy, an all day, every day customer support assistant powered by Microsoft Copilot Studio.
353. City of Kelowna leverages Zammo.ai’s native interoperation with Azure OpenAI Services to create a digital-friendly 311 information service, available all day, every day. This service delivers accurate answers to a wide range of questions, reducing the need for repetitive work for both citizens and government employees.
354. City of Madrid developed an AI virtual assistant using Microsoft Azure OpenAI Services to offer tourists accurate, real-time information and personalized responses in more than 95 languages.
355. Cradle Fund, dedicated to nurturing startups in Malaysia, introduced an AI-powered chatbot to enhance user interaction and increase public engagement. User engagement quadrupled, and resolution time was reduced from two days to just a few clicks. Cradle also decreased customer service costs by 35%, increased international interactions by 40%, and increased daily average visits tenfold.
356. Dubai Electricity and Water Authority has significantly boosted productivity and customer satisfaction by integrating various Microsoft AI solutions. This integration has reduced task completion time from days to hours and achieved a 98% customer happiness rate.
357. Montgomery County collaborated with Microsoft and Zammo.ai to enhance its chatbot using Microsoft Azure OpenAI. More than 10 months, they developed Monty 2.0, which can handle multiturn conversations on 3,000 topics in 140 languages. It facilitated 20,000 constituent conversations, achieving a customer satisfaction rate of 50%. Now, constituents have personalized, instant access to information about public services.
358. National Gallery Singapore leveraged Azure OpenAI to develop an AI Docent named G(ai)le, with the assistance of technology partner NCS. This AI Docent provides interactive, multilingual, and personalized art experiences for visitors.
359. Oslo Kommune adopted Microsoft Fabric to centralize its existing data and develop insights to better understand citizens’ needs and how to best serve them.
360. South African Revenue Service deployed a chatbot integrated with Azure Cloud Services and enabled with Azure OpenAI Services. This system provides personalized guidance based on individual records and has generated approximately 300,000 tailored responses to date.
361. South Australia Department for Education launched an AI-powered educational chatbot to help safeguard students from harmful content while introducing responsible AI into classrooms.
362. Ville de Laval integrated Azure AI and machine learning into its 311 non-emergency hotline. The system employs a virtual agent to expedite citizen-agent interactions and autonomously handle basic inquiries. Ville de Laval anticipates that the system will pay for itself within its first year of operation.
363. YoungWilliams developed an AI agent named Priya using Azure AI Foundry to automate, secure, and enhance customer service interactions for government health and human services. Priya improved customer satisfaction scores by 41% and reduced wait times by 50%.
364. Acentra Health developed Medscribe, a web application that leverages Azure OpenAI Services to generate draft letters in a secure, HIPAA-compliant enclave. This application responds to customer appeals for healthcare services within 24 hours, reducing the time spent on each appeal letter by 50%.
365. Beth Israel Lahey Health (BILH) adopted Azure OpenAI services to develop a solution that provides fast, accurate access to more than 3,800 critical care guidance documents in real time. ChatPPGD has demonstrated 98% accuracy in its responses to attending staff, handling more than 800 queries per week and enhancing efficiency and compliance in delivering outstanding patient care.
366. Carillon Clinic deployed DAX Copilot to enhance patient engagement, allowing clinicians to focus on meaningful interactions without being tethered to extensive notetaking. The solution facilitates conversations with patients or their parents without the distraction of a keyboard and mouse, thus improving the provider-patient dynamic and overall care experience.
367. CentraCare adopted DAX Copilot and Dragon Medical One to offer clinicians a customizable, streamlined, and automated approach to documenting patient encounters, allowing them to build workflows that suit their preferences. Clinicians have dramatically reduced their administrative workload and risk of burnout, allowing them to focus more on their interactions with patients.
368. City of Hope leveraged Azure OpenAI Services to develop a responsible large language model (LLM) platform, giving valuable time back to doctors and their patients. The solution processes and summarizes hundreds of pages of patients’ medical history documents. For doctors, it has reduced the time and burden of reviewing documents, empowering them to provide faster and more personalized patient care.
369. Doctolib, a leading eHealth company in France, leverages Microsoft technology to develop an AI-powered medical assistant that integrates both Azure OpenAI Service and Mistral Large on Azure.
370. Healow leveraged Azure OpenAI in Azure AI Foundry Models to develop a contact center solution that automates real-time conversations with patients at scale, in a highly secure environment. By automating routine tasks and providing real-time responses to patient inquiries, the solution reduces healthcare staff workload and supports improved patient care.
371. Intermountain Health has its AI infrastructure on Azure, enabling the development and deployment of responsible AI products while ensuring visibility, security, and scalability for consistent patient outcomes. With the help of Azure AI and Azure OpenAI Service, their DTS caregivers save 40 hours per quarter per AI product. Additionally, by using Microsoft 365 and Microsoft Copilot, they saved 4,300 hours of work last year alone.
372. Medgate, a telehealth subsidiary of Otto Group developed a medical Copilot powered by Azure OpenAI Service. This Copilot summarizes consultations, supports triage, and provides real-time translations. 
373. Relias leveraged Microsoft Purview and Azure Synapse Analytics to build a platform that generates actionable insights for its clients, helping to deliver life-saving healthcare education with greater speed, efficiency, and effectiveness.
374. South London and Maudlsey NHS Foundation Trust leveraged Microsoft 365 Copilot to automate routine tasks and spend more quality time treating patients.
375. TatvaCare integrated an AI-led chatbot, AskAI, into its MyTatva app, leveraging the capabilities of Azure OpenAI Service. AskAI efficiently handles patient inquiries and provides daily nudges to encourage healthier lifestyle choices.
376. Veradigm leveraged Azure AI Search, Azure OpenAI Services, and other tools in a Zammo.ai software solution to develop Billerbot. This self-help chatbot is designed to handle basic queries about medical terms, processes, and billing, deflecting 5% of customer billing queries and providing faster support for customer questions.

Legal services

377. Disparti Law Group leveraged Microsoft 365 Copilot to streamline processes. Employees are now reporting improved experience metrics, reduced IT calls, and routine tasks are up to 50% faster, enhancing collaboration and efficiency for their clients.
378. Relativity updated its legal platform using Azure and Azure AI to provide enhanced security, scalability, and efficiency, empowering legal professionals to tackle complex data challenges with confidence.
379. BMW Group optimizes the customer experience by connecting 13 million active users to their vehicles with the MyBMW app on Azure. This app supports 450 million daily requests and processes 3.2TB of data.
380. Cemex leveraged Azure OpenAI Services to launch Technical Xpert, an AI tool that provides sales agents with instant access to comprehensive product and customer solution information, significantly reducing search time by 80%. 
381. Coats Digital leveraged Azure AI services to develop a customer-facing virtual assistant within Docs. This assistant responds with the most applicable training materials or documentation from the company’s extensive catalogs. By understanding user intent, Docs delivers highly relevant results, significantly improving the customer experience compared to traditional keyword searches.
382. HARTING implemented an AI-powered assistant powered by Azure OpenAI and Microsoft Cloud for Manufacturing. This solution interoperates with Siemens NX and Simcenter, part of the Siemens Xcelerator portfolio, to enable rapid design and simulation. The AI solution reduced configuration time from 15-20 minutes to just 1 minute, significantly improving efficiency and accelerating the creation of custom prototypes.
383. Hexagon rebuilt its SDx platform on Microsoft Azure, leveraging Azure AI services to automate and scale data workflows. With SDx2, Hexagon customers are achieving faster outcomes at scale, realizing more than 90% reductions in facility onboarding, and saving millions in productivity improvements and data processing.
384. Intralox leveraged Microsoft 365 Copilot for Sales, Copilot in Dynamics 365 Customer Service, and Copilot in Dynamics 365 field service to streamline operations. These solutions improved access to information, reduced inefficiencies, and saved time for both Intralox and its customers, leading to enhanced overall customer satisfaction.
385. Legrand leveraged Azure OpenAI Service to reduce the time required to generate product data by 60% and enhance customer support interactions with fast, accurate information.
386. MediaTek selected Phi models from Microsoft Azure AI Foundry that power highly secure, low-latency AI on handheld devices. The deployment led to 50% faster AI processing, 80% improved prompt performance, and 30% greater power efficiency, enhancing real-time device interactions and the user experience.

Media and entertainment

387. BBC leveraged Azure AI to create a bespoke digital voice assistant that embodies its brand identity and fosters a new conversational relationship with its diverse audiences.
388. Cricket Australia is leveraging AI to enhance fan engagement by providing richer, personalized content, aiming to improve the overall experience of the game.
389. Gameloft uses Azure AI Service to translate more than 100 languages in real time, allowing players to chat, strategize, and banter seamlessly.
390. LALIGA is enhancing the fan experience and providing AI insights with Azure Arc. They are using AI in Azure to optimize match scheduling and other key operations.
391. National Basketball Association is leveraging Azure OpenAI Service to accelerate their time to market. This helps fans connect with the league through personalized and localized insights, enhancing their overall experience.
392. NC Dinos uses two kiosks powered by Azure AI Service to support a game service called ‘Find My Player Look-Alike’ and a chatbot that answers sports fans’ questions, providing a premium experience.
393. NC Fusion selected a comprehensive Microsoft solution to simplify marketing engagement activities and accurately target the best audience segments.
394. Pacers Sports & Entertainment leveraged Azure AI Foundry to create a real-time captioning solution. This solution is designed to match the fast pace and unique personality of live basketball, making it accessible for deaf, hard-of-hearing, and non-English-speaking fans on arena screens and in its mobile app.
395. Premier League has developed the Premier League Companion, powered by Microsoft Copilot, Azure OpenAI Service, and Microsoft Azure AI Foundry Services. Available on web platforms and a mobile app, this solution provides fans with access to Premier League information from both new and archival content. This includes 30 seasons of stats, 300,000 articles, and 9,000 videos, unlocking a whole new world of immersive content about the clubs and players. This innovation ushers in a new era of intelligent and intuitive fan experiences.
396. SVERIGES Television AB (SVT) leveraged Azure AI Services to transcribe video content and generate closed captions, enhancing customer reach and promoting inclusion.

Nonprofit

397. Agape Source utilized Microsoft Copilot, a generative AI web chat assistant, to help employees and volunteers support clients from 19 countries in communicating, translating, and finding resources.
398. Arapahoe Libraries have adopted Microsoft 365 Copilot to streamline administrative tasks, enhance collaboration, and safeguard patrons’ privacy. This AI-powered assistant enables employees to develop innovative solutions to better serve visitors now and in the future.
399. De Alliantie created a generative AI chatbot using Azure OpenAI Service to process information in their online knowledge base, enabling staff to receive accurate answers quickly. Additionally, another Azure AI-based solution transcribes and summarizes calls, categorizing them by theme.
400. Kenya Red Cross collaborated with Pathways Technologies to create a mental health chatbot using Azure AI.

Professional services

401. Accenture developed an autonomous agent for its clients to automate and streamline past-due payments, speeding up collections and boosting bottom lines. The agent, created in Copilot Studio, interprets customer data, automates follow-ups, and assists collectors with the next best actions. Accenture’s clients can potentially recover outstanding debts faster, ultimately reducing Days Sales Outstanding—a key metric that measures the average number of days it takes to collect payment after making a sale—by up to 20%.
402. Adobe uses Microsoft Azure to enhance customer experience by utilizing connected cloud services, driving AI transformation across various industries.
403. Aisera provides a proactive, preemptive, and predictive platform using Azure Cognitive Services, Azure OpenAI, and Azure Machine Learning. This platform offers customers access to behavioral intelligence, benefiting global companies across various industries.
404. ALLPLAN collaborated with Obungi to migrate their on-premises data warehouse to Microsoft Fabric, enabling enhanced analysis and reporting on marketing and sales operations. Leveraging advanced cloud features and AI and machine learning capabilities, development cycles were significantly shortened, providing business departments with timely and precise analytics for informed decision-making.
405. Atlan leverages Azure OpenAI Services to assist data teams in automating documentation, summarizing lineage, and enabling users to query data in natural language. Data teams have reported a reduction of over 60% in the time required to complete tasks.
406. August.ai developed August, powered by Azure OpenAI Services, to outperform traditional symptom checkers by 25%, making it a reliable tool for symptom analysis.
407. Avanade uses Microsoft Fabric for advanced analytics from a unified data estate. This software-as-a-service solution includes Microsoft OneLake to eliminate data silos, Microsoft Copilot to foster developer innovation, and Copilot in Microsoft Power BI to make data accessible across the organization. This integration streamlines all data and analytics workflows, from data integration and engineering to data science, empowering employees to deliver exceptional services to customers. It also helps guide customers toward more effective management of their data estates, yielding valuable business intelligence for innovation.
408. Avasoft utilized Azure OpenAI Services to develop SuperInsight, an innovative tool that connects business users with their data. This tool enables users to effortlessly gain actionable insights, removing the need for analysts or technical expertise.
409. Ayna leveraged Azure OpenAI Services and Azure Infrastructure to train diffusion models, enabling brands to generate catalogue photo shoots and AI TryOn experiences for their customers within minutes, eliminating the need for setting up photo studios.
410. BDO Belgium has developed a data analytics platform called Data Eyes on Microsoft Fabric. Since transitioning to Microsoft Fabric, BDO has achieved faster and clearer insights into mergers and acquisitions, along with a more reliable analytics platform. This has enabled them to guide customers towards better business decisions. They are also exploring the integration of Copilot in Fabric to automate the description of analysis and use outlier analysis to identify potential non-recurring transactions that could impact deals.
411. BEMO leveraged Face Check, Microsoft Entra Verified ID, and Azure AI to develop a new verification tool. This innovation has reduced verification times from 5.5 hours to just 30 minutes, achieving a 90% reduction in average processing time.
412. Blip selected Azure OpenAI services to enhance customer experience. The service provides personalized responses based on each customer’s conversation history, enabling faster and more accurate support. It processes more than 1 billion messages monthly.
413. Brio leverages Microsoft 365 Copilot within the Brio Customer Portal (CP) to enhance the reading and analysis of customer data. This integration streamlines operations, identifies upsell opportunities, and boosts business efficiency, ultimately enhancing the customer experience.
414. BOTmantra leverages Azure OpenAI to provide innovative, scalable solutions that enhance customer operations, boost productivity, enable smarter decision-making, and ensure seamless scalability.
415. Capacity selected Phi small language models through Azure AI Foundry to enhance its Answer Engine, enabling more accurate, context-aware, and multilingual answers from organizational knowledge. This scalable, secure, and cost-effective solution has already delivered 4.2x cost savings, 97% tagging accuracy, and faster document summarization, significantly improving performance and customer satisfaction.
416. Capgemini Mexico integrated GitHub Copilot to support scalable AI implementations, leading to improved customer experiences and increased efficiency.
417. Celebal creates tailored solutions with Microsoft Fabric to help customers eliminate data silos and gain valuable insights.
418. CleverIT Group leveraged GitHub Copilot and Azure AI Foundry to enhance customer support. By accessing diverse data and delivering actionable insights, they boosted developer productivity by 30% at customer organizations.
419. Cloud Services assist customers in transitioning to Revenue Grid, which integrates seamlessly with Fabric. This combination provides enterprises with data-powered revenue intelligence, enabling sales teams to optimize their processes, drive growth, achieve repeatable revenue, and reduce infrastructure costs by 60%.
420. Cognition utilized Microsoft generative AI technology with its TriZetto platform to help payers and providers reduce hidden costs and improve patient outcomes for millions of Americans.
421. Cognizant used Microsoft generative AI technology with its TriZetto platform to help payers and providers reduce hidden costs and improve patient outcomes for millions of Americans.
422. Cognizant is enhancing performance management with Microsoft Azure Machine Learning, helping clients across various industries to envision, build, and run innovative digital enterprises.
423. Commerce.AI has adopted Azure OpenAI Service and Azure Cognitive Services to create valuable solutions for its customers. These technologies have already started boosting productivity by 30 to 50%.
424. Congruent leveraged Azure OpenAI Service to enhance retirement planning, resulting in customers saving up to four times per dollar spent. Additionally, they integrated GitHub Copilot into their development process, achieving a 40% reduction in costs.
425. CoStar Group Inc. developed an innovative conversational AI search experience using Azure OpenAI and the Mistral model in Azure AI Foundry Models. This enhances the home search and buying experience in a highly secure manner.
426. Datadog integrates seamlessly with all major Azure services, including Azure OpenAI Service. This integration allows customers to optimize costs, troubleshoot issues, and monitor the performance of their AI-powered applications more effectively. With no additional setup required, customers can enjoy comprehensive visibility and instant visualizations for Azure OpenAI Service.
427. Datamatics enhanced their Intelligent Automation Platform with GenA, boosting document processing accuracy by over 90%, automating processes to increase productivity by 60%, and analyzing business performance to improve customer experiences.
428. DeepBrain AI avatars and solutions leverage Azure OpenAI Service to efficiently process data. By utilizing Azure Cognitive Services’ speech capabilities, they have developed advanced NLP models. Integrating these solutions into their AI infrastructure enables them to perform language translation and create AI avatars with exceptional language understanding and translation capabilities for their customers.
429. DEPT leveraged Azure OpenAI in Azure AI Foundry to create an interactive retail app that allows children to receive personalized messages from Sinterklaas, a beloved Dutch holiday figure. The app attracted 300,000 users who interacted with Sinterklaas more than 3 million times, resulting in a 233% increase in engagement compared to the previous year’s holiday campaign.
430. Docusign utilized Azure AI to create its Intelligent Agreement Management (IAM) platform. This platform supports millions of workflows, significantly reducing contract processing times and enhancing customer satisfaction through advanced AI-powered analytics.
431. Dotdigital leveraged Microsoft Copilot and Azure OpenAI Service to enhance its customer experience and data platform, meeting the expectations of brands and consumers for seamless, relevant, and instantaneous connections. This innovation enables users to quickly find inspiration, focus on what matters, improve engagement, and generate new ideas for campaigns.
432. Elunic developed a shopfloor GPT solution based on Azure OpenAI Service, which has led to increased productivity for customers, saving 15 minutes per request.
433. Ema offers specialized AI agents to manage enterprise customer support, sales, marketing, and employee experience. In customer support, Ema achieved 98% accuracy in resolving over 80% of tickets. Additionally, Ema sped up proposal writing by 70%.
434. Engagely.ai leveraged Azure OpenAI to deliver instant, natural language support across various mediums, including voice, chat, and email, ensuring customer satisfaction. This resulted in an 80% increase in customer satisfaction (CSAT).
435. Exela has improved their business process automation stack using Azure OpenAI Service. This enhancement enables their customers to drive personalized engagement, optimize workflow automation, and reduce costs.
436. EY Global created EY Competitive Edge with Azure OpenAI Service to enable sector-specific data querying and deliver rapid, highly relevant insights, helping clients make critical business decisions.
437. EY Global leverages Microsoft 365 Copilot and Dynamics 365 Sales to offer recommendations, analyze conversation sentiment, and assess seller behavior. These tools help identify new ways to work and serve customers more effectively by focusing on their value drivers.
438. EY Global is co-developing a new tool, Microsoft Cloud for Sustainability (MC4S) Data Solution in Fabric (SDSF). This solution offers enhanced insights into environmental impact, enabling customers to better manage their data estates and meet reporting standards. Copilot for Microsoft Sustainability is integrated into the solution to deliver AI-powered predictive capabilities, anomaly detection, supply and demand forecasting, and automated, data-driven footprint reduction strategies.
439. Faros AI selected Microsoft Azure for its reliable and scalable cloud platform. The team leverages GitHub Copilot to accelerate deployment, ensure AI alignment, and empower customers to scale engineering insights more efficiently.
440. Fluid AI leveraged Azure OpenAI Service to transform customer and bank interactions, providing smarter, faster, and more human-like support across multiple channels. Impressively, 90% of queries were handled autonomously, resulting in a 3 to 4 times increase in customer service volume and a 30% boost in customer satisfaction.
441. Gupshup leveraged Azure OpenAI Service to enhance their ACE LLM and AI Agents, which are designed to manage consultative sales and support. As a result, a vehicle reseller saw a 60% reduction in human agent effort, and a digital bank automated 75% of incoming queries.
442. Haceb developed a virtual technical support assistant using generative AI, enabling technicians to troubleshoot, diagnose, and resolve product issues more quickly and efficiently.
443. Hero FinCorp used Azure OpenAI to handle more than 50,000 multilingual customer queries with the H.Ai bot, boosting productivity and reducing costs.
444. Hero MotoCorp leveraged Azure OpenAI Service to enhance customer experience. The bots have significantly improved the post-purchase experience by providing vehicle service schedules and detailed information about parts, actively engaging customers.
445. Hexaware leveraged AI to create tensai® GPT, enhancing efficiency, accuracy, and cost-effectiveness in aviation industry operations. This innovation ensures smoother operations and boosts customer satisfaction.
446. IBM Consulting leverages Microsoft Fabric, an AI-powered analytics platform, along with Catalyst to assist their customers in deploying Copilots. This collaboration helps customers accelerate the migration of their legacy data estates to modern platforms like Fabric.
447. IndiGo integrated Azure OpenAI Service’s GPT-4 and GPT-4 Turbo models to create the 6Eskai platform, offering customers seamless conversational service.
448. Insight utilized Azure OpenAI to develop an interactive voice assistant (IVA) for customer call centers. They anticipate that 40% of calls will be routed to a human agent, down from the previous 90%. This change will allow their team to concentrate on higher-value tasks such as enhancing store operations and engaging with customers.
449. INSPIRE Environmental leveraged Azure AI to develop a solution that analyzes and interprets seafloor images more quickly and efficiently, reducing costs and turnaround times for clients.
450. Intelligent Economics developed a bot that uses Azure AI Foundry, Azure AI Search, and runs on Azure OpenAI to analyze economic data for customers in Puerto Rico.
451. iPiD developed iPiD Match, powered by Azure OpenAI, to quickly verify payees, enhance payment security, improve operational efficiency, and deliver better customer experiences.
452. IWG developed a solution using Microsoft Fabric and its real-time intelligence features to unify data from various sources. With real-time insights, IWG can quickly adjust marketing campaigns and detect fraud.
453. Jacobs developed Alluvial, utilizing Microsoft Fabric to offer seamless data management and advanced AI capabilities for a diverse range of clients.
454. Jato Dynamics leveraged Azure OpenAI Service to automate content creation, enabling dealerships to save around 32 hours monthly.
455. JLL collaborated with Databricks to implement Azure AI Services, streamlining and democratizing data. With JLL’s expertise, clients can now discover innovative ways to achieve business goals using investment-specific data, reducing costs, enhancing sustainability, and making more informed decisions.
456. KPMG leverages Copilot and Azure OpenAI Service to assist clients in creating agent-based interactive models and presentations within hours, tasks that previously took days or weeks. Additionally, they utilize Copilot in Power BI in Fabric to generate narratives and speed up the development of visualizations.
457. KPMG leveraged Microsoft AI to create Comply AI, an agent designed to identify relevant obligations, generate obligation statements in natural language, assess control effectiveness, and redraft control descriptions. A leading telecom company, a client of KPMG, utilized Comply AI to enhance compliance maturity, accountability, and trust. This resulted in a 70% improvement in controls and risk descriptions, an 18-month reduction in compliance program timelines, and a 50% decrease in ongoing compliance efforts.
458. KPMG has chosen Microsoft Fabric for data management and analysis to provide enhanced insights to its clients. Power BI developers are leveraging Copilot in Power BI within Fabric to generate narratives and create simple questions and answers for prebuilt prompts. AI is accelerating the development of visualizations within Power BI, allowing team members to focus on other strategic priorities. With Copilot and Azure OpenAI Service, they can help clients generate agent-based interactive modeling, presentations, and more within hours—tasks that previously took days or weeks.
459. LayerX developed its AI Workforce on Microsoft Azure, utilizing Azure OpenAI in Foundry Models, Azure Container Apps, Azure AI Search, and Azure Cosmos DB. This integration ensures seamless interoperability and scalability for automating document processing. One customer expects to save 570 hours annually.
460. LimeChat integrated bots with Azure OpenAI APIs to effectively address complex queries, enhancing customer experience and doubling revenue generation.
461. Linum leverages Microsoft Azure to accelerate the training of their text-to-video models, ensuring high performance and resource efficiency.
462. Locabuzz utilized Azure OpenAI Service with the Locobuzz CX platform. The Response Assist feature generates detailed responses instantly while adhering to brand guidelines and tone, reducing the time spent on ticket analysis and enhancing customer satisfaction.
463. Magicpin leveraged Azure OpenAI Service’s real-time model to create an audio conversational bot that communicates with riders over the phone, assisting them in making proactive decisions. This customer support chatbot agent successfully resolved 60% of the tickets.
464. Mahindra Group utilized AI through two innovative programs a Multiagent AI System for marketing and a verification system for loan applications. These programs enabled the creation of hyper-personalized customer communication at scale, enhancing customer engagement.
465. Mars Science & Diagnostics leveraged the Azure AI catalog to develop generative AI applications that improve accuracy and swiftly extract data insights, enabling pets with critical, undiagnosed conditions to receive the necessary care more quickly.
466. Mastek has integrated Microsoft 365 Copilot, Azure OpenAI Service, Copilot for Sales, and Teams AI into its daily work practices. This integration has resulted in a 45% improvement in productivity and a 55% increase in response and delivery times, leading to an enhanced customer experience.
467. McKinsey & Company is developing an agent to streamline the client onboarding process, aiming to reduce lead time by 90% and administrative work by 30%.
468. New Zealand Public Trust has successfully implemented Dynamics 365 Contact Center, Customer Service, and Copilot. By integrating phone, chat, and email, they have streamlined customer interactions. This integration has enhanced customer engagement, resulted in faster issue resolution, improved call quality, and increased efficiency in will and power of attorney writing.
469. Northrop & Johnson sales teams leveraged Microsoft Dynamics 365 Sales, Microsoft Dynamics 365 Customer Insights, and Copilot to deliver a highly personalized sales experience tailored to the wants and needs of their clients, making an impact in minutes.
470. Nurix leveraged Azure OpenAI to enhance customer interactions, providing personalized engagement and scalable enterprise solutions.
471. Orbital Witness adopted large language models (LLMs) in Azure OpenAI Service to develop its AI Agent application, Orbital Copilot. This application can save legal teams 70% of the time required for property diligence work.
472. OneDigital utilized Azure to deploy an AI agent-building platform within their cloud environment. This platform integrates with Azure OpenAI Service and Azure AI Foundry to streamline research, enhance consultant productivity, and deliver smarter client insights. The solution saved consultants 1,000 person-hours annually, enhancing client engagement and improving retention through strategic, high-impact interactions.
473. OYO’s app is used by guests worldwide for a seamless booking experience. OYO strategically deployed the Azure OpenAI Service AI stack, integrating Azure OpenAI Service and Azure AI services into post-booking systems to enhance the accuracy of validated bookings and more.
474. Parloa adopted a voice-first strategy and developed an enterprise-grade AI Agent Management platform to automate customer interactions across phone, chat, and messaging apps.
475. RepsMate developed an AI assistant using Azure OpenAI Services and AI Foundry to help customer service agents understand customer needs and behaviors. This technology has enabled customers to reduce the size of supervisory teams by half, enhance agent efficiency, and elevate customer satisfaction.
476. PRICEWATERHOUSECOOPERS (PwC) leverages Microsoft Sustainability Manager, Dynamics 365, and Azure OpenAI Service to develop solutions that provide their customers with complete, accurate, and reliable sustainability data. These solutions have successfully enabled clients to save time and costs while gaining visibility into sustainability.
477. Profisee uses Microsoft Fabric as the foundation for their consumable Master Data Management to harmonize data across multiple disparate sources or data silos. They also use Power BI and Purview to help other enterprises match, merge, standardize, and validate data across different data silos.
478. Sitecore uses Microsoft AI to identify visitor segments, tailor content to specific visitors, and streamline manual personalization rules. This aims to drive higher engagement from target audiences.
479. Space and Time utilized Azure OpenAI Service to create a chatbot that reviews blockchain data, enabling users to quickly deliver results or generate queries, thus saving time. This empowers customers to find the data they need to train their AI models and ensure the information remains untampered by malicious actors.
480. Square Yards has integrated advanced generative AI technologies into their real estate listings. These technologies include SEO-friendly auto-descriptions, image tagging and enhancement, virtual tour creation, and 2D-to-3D floor plan conversions.
481. Staffbase offers its clients the Staffbase Companion, which enhances internal communication through quick content generation, summarization, translation, and future capabilities, while ensuring data protection.
482. Sweco leveraged Azure AI Studio to quickly develop SwecoGPT, a digital assistant designed to automate document creation and analysis, and enhance search capabilities across the enterprise’s global network. Consultants can now easily find critical project information, report increased productivity, and add value for clients.
483. Sync Labs is leveraging Microsoft Azure to develop AI-powered solutions, resulting in a significant 30x increase in revenue and a 100x growth in their customer base.
484. Syndigo leverages Azure to boost digital commerce for its customers by over 40%, significantly expanding its customer base.
485. Tavant, a leading provider of digital products and solutions, developed an Agentic AI Solution to enhance field service management. This innovation has resulted in a 40% faster resolution time, a 42% increase in the first-time fix rate, and a 90% rise in customer satisfaction.
486. TCS plans to integrate Microsoft Copilot Studio, Azure AI Foundry, Microsoft Fabric, and Power Platform into its TCS Cloud Exponence™, TCS Cloud Counsel™, TCS ignio™ for AIOps, TCS Cloud Migration Factory™, and the TCS Cloud Governance and Optimization Platform. Additionally, TCS will incorporate Microsoft Azure services into its engineering and solutions teams to deliver new solutions that provide integrated experiences and support customers in their cloud-enabled business transformation.
487. Tiger Analytics has developed an OpenAI-enabled knowledge base search tool using Azure AI Document Intelligence and Azure AI Search. This tool works with Inspiro to help airline agents find the answers to customers’ needs and improve customer support. With faster search capabilities, Inspiro’s Average Handling Time improved by 30% for non-voice support agents and 10.8% for voice-supported agents.
488. Ubona leveraged Azure OpenAI Services and large language models to provide scalable, intelligent automation that improves customer interactions and delivers robust data insights and operational efficiency.
489. Upstox used Azure OpenAI Services to create a Copilot that provides instant, context-aware responses, reducing delays and improving the user experience.
490. Ushur leveraged Microsoft Azure AI services to swiftly address customer issues and streamline interactions across all channels.
491. Virbe empowers businesses to engage with customers through AI-powered avatars. By leveraging Azure OpenAI Services and Azure AI Search, they have enhanced their AI avatars and streamlined interactions with enterprise customers. As a result, customers are experiencing up to a tenfold increase in leads.
492. Vue.ai’s platform, integrated with Azure AI services and Azure OpenAI Services, offers an AI orchestration platform that simplifies the adoption and scaling of AI across enterprises.
493. Weights & Biases has developed a platform on Microsoft Azure that enables developers to maintain records, log successes and failures, and automate manual tasks.
494. WeTransact leveraged Azure OpenAI Services and Azure to enhance its solution, enabling ISVs to reduce the time to publish SaaS solutions by 75% on Microsoft AppSource and Azure Marketplace. This improvement allows millions of potential customers to access their solutions more quickly.
495. Whatfix used Azure OpenAI Services to streamline the critical and time-sensitive customer migration process, ensuring a smooth transition from an older platform version to a newer one with minimal disruption.
496. WinWire Technologies leveraged Microsoft Azure to modernize data, develop AI-powered applications, and enhance business agility using Azure OpenAI, Microsoft Copilot Studio, and cloud migration. This approach drove innovation and efficiency across various industries. Their solution accelerated drug discovery, streamlined cloud migrations, and boosted business agility, leading to faster AI adoption, greater efficiency, and increased competitiveness.
497. WNS has integrated Azure OpenAI Services into their suite offerings to enhance the efficiency, effectiveness, and productivity of client processes.
498. Writesonic leveraged Azure OpenAI Services to enhance its content creation, propelling them into a new era of AI-powered productivity and personalized user engagement.

Retail and consumer goods

499. Puratos leveraged Azure Open AI Service to create Purabot, a tool designed to assist customers with inquiries and provide on-demand support. This innovation has doubled customer service engagement and enhanced product content on the website. Currently, 42% of customers use Purabot to find product information, 21% to discover recipes, and 14% to connect with a sales representative.
500. Worten implemented an advanced chatbot developed by EY using Azure OpenAI to reduce documentation search times from minutes to seconds, increase productivity, and enhance customer service efficiency.
501. 17Life leverages Azure OpenAI Services to efficiently generate, classify, and integrate numerous product tags. This technology also accurately interprets consumers’ search intentions, providing customers with the most suitable product suggestions through intelligent tag comparison. As a result, 17Life has significantly reduced the manpower and time costs associated with the tagging mechanism, accelerated product launch times, and enhanced personalized recommendations. These improvements have effectively boosted consumer shopping experiences, increased customer loyalty, and strengthened the platform’s services and competitiveness through the use of AI.
502. Amorepacific Group has been using generative AI on its online Amore Mall to enhance product search, recommendations, and skin diagnosis for three years. Now, they have developed an app called AI Beauty Counselor (AIBC) using the Azure AI Stack to offer hyper-personalized advice and recommendations based on a consumer’s previous purchases.
503. Arla Foods has integrated Azure OpenAI Services into its digital ecosystem to enhance content management using GPT. This integration allows Arla Foods to cluster a collection of nearly 6,500 recipes into themed articles that align with popular customer search trends.
504. Boyner has significantly improved its e-commerce performance with Microsoft Azure, resulting in increased customer satisfaction, engagement, conversion rates, and revenue.
505. Carvana developed an AI-powered Conversation Analysis Review Engine (CARE) using Microsoft Azure AI Foundry and various Azure developer services to gain insights and visibility across all customer interactions. CARE, along with Sebastian, their AI agent, has driven scalable quality monitoring, resulting in a 45% reduction in inbound sales calls more than two years. This improvement reflects a smoother, faster, and more seamless customer experience.
506. Cdiscount is using GitHub Copilot and Azure OpenAI Services to boost developer productivity, streamline product sheet categorization, and enhance customer satisfaction
507. Cdiscount is leveraging generative AI and combining its proven in-house models with Azure OpenAI Services to enhance the performance of its online references. After recategorizing 22 million product sheets, they now boast a 30% conversion rate. Additionally, they deployed a chatbot that has achieved a 70% customer satisfaction rate.
508. Chanel enhanced their client experience and boosted employee efficiency by using Microsoft Fabric and Azure OpenAI Services for real-time translations and quality monitoring.
509. Coles Group has utilized Microsoft Azure to boost its digital presence and enhance customer engagement. By deploying new applications to its stores six times faster, they have achieved this without disrupting existing workloads.
510. CP AXTRA uses Microsoft 365 Copilot in marketing, finance, and strategy to assist with routine tasks. They continue to focus on their value chain and use AI to enhance customer lifetime value.
511. Elcome leverages Microsoft 365 Copilot to enhance customer experience, cutting response times from 24 hours to just eight hours.
512. Elcome deployed Microsoft Fabric, including the Real-Time Intelligence, real-time hub, and data activator features, along with Copilot to build Welcome, an industry-first, ISP-grade monitoring and management platform that is scalable, flexible, and future-proof. With this solution in place, they have reduced data latency from minutes to seconds, providing customers with high-speed connectivity that keeps vessels and crews safe and well-informed in the ever-changing marine environment.
513. Estée Lauder Companies is using Azure OpenAI Service to enhance consumer connections and accelerate market entry with local relevance.
514. Flora Food Group has migrated to Microsoft Fabric to provide more detailed and timely insights to its customers, improving service delivery and customer satisfaction.
515. Fractal is a leading adopter of Microsoft AI offerings, including Azure OpenAI Service, Microsoft Copilot, and Microsoft Cloud for Retail. Fractal develops AI-powered solutions to help retailers address challenges across various functional areas, including supply chain management, manufacturing, and marketing.
516. Hevolus developed XRCopilot using Azure OpenAI Service and Azure AI services to enhance the immersive buy-cycle shopping experience. They have already observed a significant increase in conversion rates for their customers.
517. La Redoute deployed an AI-powered agent using Azure OpenAI Service to enhance customer engagement. Currently, 60% of customer inquiries received through the mobile app’s messaging feature are managed by AI agents. This has significantly improved the efficiency of customer service operations and understanding of customer needs.
518. Meesho leveraged Microsoft’s Azure OpenAI and GitHub Copilot to enhance customer service and software development, resulting in a 25% increase in customer satisfaction scores and 40% more traffic on customer service queries.
519. Microsoft developed a custom AI assistant using Copilot Studio and Power Platform. This assistant helps customers quickly find the information they need and make faster, informed decisions. It also provides insights into common questions, enabling the team to better address customer needs.
520. Myntra has developed MyFashionGPT, powered by Microsoft’s Azure OpenAI Service and ChatGPT 3.5, enabling shoppers to search for outfits using natural language.
521. Rebel Foods utilized Azure OpenAI Service for its EatSure ordering platform to manage current order volumes, adapt to future business needs, and deliver consistent, personalized customer experiences.
522. Titan Eye Plus integrated Azure OpenAI Services with its connected digital platforms to become a truly intelligent, real-time enterprise and set a new standard in eyewear retail.
523. Walmart is leveraging Azure OpenAI Services to enhance the browsing experience for customers. The service provides a curated list of personalized items tailored to each shopper’s preferences.

Telecommunications

524. Vodafone created a friendly digital assistant named TOBi to support multiple markets in 15 languages using Azure Bot Service, Azure AI Service, and Azure AI Language. TOBi enhances customer experiences and generates value. It has reduced customer contacts to call centers by 12% year-over-year.
525. Lumen Technologies is transforming customer success and sales processes through the strategic use of Microsoft 365 Copilot, enhancing productivity, sales, and customer service in the global communications sector.
526. Mobiliar leverages Azure OpenAI Service for Mobi-ChatGPT, an AI solution, and cloud technology to streamline processes and enhance customer experiences.
527. One.NZ implemented Microsoft Fabric within two weeks to provide the customer service team with real-time data and metrics such as added depth to its analytics, transforming raw data into actionable insights. Empowered teams can now make accurate, data-driven decisions and respond to customer inquiries nearly twice as fast as before.
528. PLDT deployed Talkbot Pro, a product of partner WIZ.AI, to assist the collections team in delivering hyper personalized customer experiences. The solution resides securely on ePLDT’s Azure Stack Hub, which ensuring data compliance and sovereignty. As a result, the company has had a boost in efficiency, increased collections revenue and streamlined back-end operations.
529. T-Mobile used Power Platform and Copilot Studio to develop an agent that connects more than 20 device manufacturers’ websites and assembles product information instantly and automatically. The PromoGenius app, combined with the AI agent, supports all T-Mobile retail outlets and call centers, to have real business impact and improve retail operations, including new tools for customer service representatives (CSRs).
530. Telefônica Brasil implemented Microsoft Azure OpenAI Service to enhance its digital call center assistant and chatbot. By providing customer service agents with AI-powered insights through its I. Ajuda initiative, they have decreased average handling time for individual customers by 9%.
531. Telkomsel created a virtual assistant with Azure OpenAI Service, boosting customer self-service interactions from 19% to 45%, and reducing call volume from 8,000 to 1,000 calls a day.
532. VOCALLS automates more than 50 million interactions annually, resulting in a 78% reduction in average handling time aside from a 120% increase in answered calls.
533. Vodafone Group is leveraging Microsoft’s AI solutions, including Azure AI Studio, OpenAI Services, Copilot, and AI Search, to achieve a 70% resolution rate for customer inquiries through digital channels and reduce call times by at least one minute.

Travel and transportation

534. Air India leveraged Azure OpenAI Services to develop a virtual assistant that has handled nearly 4 million customer queries with full automation, significantly enhancing customer experience and avoiding millions of dollars in customer support costs.
535. Alaska Airlines is using Microsoft Azure, Microsoft Defender, and GitHub to ensure its passengers have a seamless journey from ticket purchase to baggage pickup. They have also started leveraging Azure OpenAI Service to unlock more business value for its customer care and contact centers
536. Aurizon adopted Microsoft Fabric, combining their enterprise and operational data with their sensor data in real-time with the goal of increasing efficiency around maintenance as a cost-saving strategy. Accessing the data also presents many opportunities for optimization around crew rostering, yard management, scheduling, and daily operations.
537. Holland America Line developed a virtual agent using Microsoft Copilot Studio that acts as a digital concierge on their website to support new and existing customers and travel advisors. This agent has achieved a strong resolution rate and is currently handling thousands of conversations per week.
538. Japan Airlines (JAL) developed the JAL-AI Report using Azure AI Foundry and Microsoft’s Phi-4 small language model (SLM) to enable cabin attendants to generate handover reports based on in-flight events by typing key phrases or checking a series of boxes whether online or offline. The app can cut the time for reporting down from an hour to 20 minutes, allowing the attendants to spend more time on customer service instead of doing administrative work.
539. MakeMyTrip enhanced Myra, its travel bot, with AI-powered workflows capable of autonomously managing and optimizing multifaceted travel queries to create comprehensive travel itineraries that ensure next-level customer experiences.
540. Pegasus Airlines implemented Azure OpenAI Service and Azure AI services, integrating generative AI chatbots into its virtual travel assistant, customer support, human resources and agent platforms to provide quick answers and automate processes. They have doubled customer satisfaction related to its virtual assistant, and increased employee satisfaction by 20% with an AI-powered virtual assistant.
541. Tekion built Automotive Retail Cloud, a unified, cloud-native platform that uses generative AI to analyze communications, extract insights and provide customer-specific recommendations for sales agents.
542. World2Meet is enhancing customer service and operations with a new virtual assistant powered by Microsoft Azure.

Reshaping business process

Transforming operations is another way generative AI is encouraging innovation and improving efficiency across various business functions. In marketing, it can create personalized content to truly engage different audiences. For supply chain management, it can predict market trends so companies can optimize their inventory levels. Human resources departments can speed up the hiring process, while financial services can use it for fraud detection and risk assessments. With generative AI, companies are not just refining their current processes, they’re also discovering exciting new growth opportunities.

Agriculture

543. Alltech collaborated with Sonata to migrate to Microsoft Fabric, consolidating its data estate to improve business processes, drive efficiencies, and better understand travel expenses to meet global sustainability goals.
544. PGG Wrightson partnered with Inde to use the SkyCount™ AI-powered drone to count livestock, a task that previously took a week. Results were available in a few minutes and were more accurate than any human count—around 97% on the first attempt. 
545. SLC Agricola used Microsoft Purview and Azure Synapse Analytics to implement a new enterprise management system with Azure, accelerating analytical processes, collaboration, and security capabilities, enabling a whole new reality farming on the cloud.

Education

546. Coquitlam School District embraced Microsoft Copilot to gain data insights, streamline administrative tasks, and enable educators to focus on higher-value work like supporting students and enhancing the learning experience.
547. Disprz developed a generative AI content creation and transformation engine for Learning and Development administrators to create engaging personalized training and make learning materials more accessible using advanced learning techniques.
548. Eduvos is simplifying the student enrollment experience with Microsoft Azure and Dynamics 365, reducing the time from 90 days to nearly instantaneous and cutting associated costs by 90%.
549. Oregon State University is using Microsoft Copilot for Security to elevate their proactive security measures, increase automation, lower operational costs, and improve operational efficiency, aiming to drive their incident ticket count down to zero.
550. University of Venda deployed Microsoft 365 and migrated more than 18 systems to Microsoft Azure with Microsoft Unified Support. They also implemented Microsoft Security Copilot for faster detection and strengthened security, reducing downtime and improving availability to 99%. 

Energy and resources

551. ACWA Power migrated to Microsoft Azure and started using Azure AI services, Azure IoT Hub, Azure Data Lake, and Microsoft Fabric, improving scalability and enabling real-time data and predictive maintenance. As a result, they reduced maintenance costs, enhanced efficiency, and improved safety for plant workers. Real-time insights and predictive analytics enable proactive maintenance, reducing downtime and optimizing resources across operations.
552. Centrica deployed Microsoft Fabric to consolidate disparate data sets, eliminate silos, manage billions of rows of data, and enable real-time reporting via a user-friendly interface. Reporting has been streamlined, information can be queried in real-time, and new opportunities for analyses have been enabled—all driving operational excellence.
553. Eletrobras Furnas used Azure AI to enhance predictive equipment maintenance, anticipating potential failures that could lead to regulatory agency penalties.
554. Emirates Global Aluminum (EGA) uses Azure Local to support its digital manufacturing platform, including safety-critical applications that use AI. Through its hybrid Azure environment, EGA has achieved 10 to 13 times faster AI response time and 86% cost savings for AI image and video use cases.
555. Midcontinent Independent System Operator (MISO) moved to Microsoft Purview, acting as a data dictionary to show where data is stored and leveraging security and other data quality features for future use.
556. Minsur adopted Azure and Azure AI Service to improve the visual control process in its San Rafael mine, making it safer and enhancing processes.
557. Mitsui & Co. leverages generative AI to streamline work at Mitsui’s Security Operation Center (SOC). Microsoft Security Copilot offers efficient support, handling a massive volume of alerts through detailed analysis to assess overall system status and improve accuracy.
558. Open Grid Europe (OGE) uses Microsoft Fabric to digitally map the processes of hydrogen production from end to end within the special requirements of a system-critical environment. Real-time production data is analyzed to make data-based decisions for operations. The platform links real-time electricity prices with internal data and calculates the expected price for 1 kg of H₂. This allows the production plan to be optimized and reduces manufacturing costs by up to 50%.
559. PTT Global Chemical (GC) used Microsoft Copilot to transform taking meeting minutes and assigning action items, streamlining what used to take hours into mere minutes. They also used Azure OpenAI Service to develop ‘AskMeGC’ to review news and market reports to perform market analysis. The tools are helping them secure deals and conclude business with new clients.
560. U.S. AutoForce used Microsoft 365 Copilot for Finance to support the finance team by automating monthly reconciliations, paying invoices, and processing warranty payments, which improves accuracy and gives time back to employees.

Financial services

561. Acuity leveraged Azure technologies, including OpenAI GPT, natural language processing, and optical character recognition, to automate the generation of high-quality credit reports, resulting in up to 25% time savings in the credit report writing process.
562. Acumen used Microsoft Purview, Defender for Business, and Microsoft 365 Business Premium to strengthen security for users’ data and devices while maintaining compliance with local regulations and reducing costs.
563. Agricover built MyAgricover, a platform to make financing easier for small farmers, using Microsoft Azure, Azure API Management, and Microsoft Fabric. Now, farmers can access credit within 24 hours, significantly reducing the previous 10-working days process. The platform offers scalability, provides convenient financing, and empowers small farmers to grow their businesses.
564. AIB Dublin plans to deploy Microsoft 365 to employees to forecast, support planning, and enhance collaboration across teams. It also plans to use Copilot Studio to develop tailored AI solutions.
565. ASC Technologies used Microsoft Purview and Microsoft Cloud for Financial Services to develop the Recording Insights digital solution to evaluate 100% of recordings, simplifying compliance with legal requirements for investment consultants using an AI named the Compliance Policy Engine to support financial laws and policy regulations.
566. Banco Bradesco built AILA, an assistant using Azure OpenAI to optimize resources, strengthen governance, and transform the audit process. With AILA, they achieved 65% more efficiency in audit planning, 55% less time in reporting, 50% less time writing/proofreading, and improved the identification of the root cause of problems by reducing the time required for this step by 20%.
567. Banco Ciudad implemented Microsoft 365 Copilot, Copilot Studio, Fabric, and Azure to automate tasks, develop AI agents, and improve customer service. The bank freed up 2,400 hours annually, allowing employees to focus on higher-value tasks without the need to downsize. It also saved USD14,500 per month in its Call Center and projects a total impact of USD75,000 per month with AI.
568. Banco Inter used Azure AI services to automate the analysis of update packages and optimize processes. After the implementation, they were able to reduce analysis time by 70%, increase productivity, and improve team satisfaction, driving company-wide digital transformation. 
569. Bank of Queensland (BOQ) is modernizing its operations with Azure, Microsoft 365, and Microsoft 365 Copilot, using AI to optimize business processes such as creating marketing content, building reports and plans, and drafting HR content.
570. Cielo adopted Microsoft Purview, Copilot for Security, Defender XDR, Sentinel, and Intune to consolidate its security landscape, reduce costs, complexity, and threat response times.
571. ClearBank moved its services to Microsoft Azure to gain scalability and efficiency, pushing out 183% more monthly system releases.
572. Coforge introduced Azure OpenAI Services and the Copilot ecosystem to better support financial advisors in asset and wealth management firms, enabling them to access comprehensive fund information and performance data swiftly, eliminating time-consuming searches and increasing productivity by 30%.
573. DiBanka utilized Azure OpenAI Services to integrate cognitive intelligence into their applications. By leveraging Azure AI Face and Custom Vision, they created, implemented, and improved their image classifiers to apply labels to images. This technology performs proof-of-life detection and facial recognition of its members based on their visual characteristics.
574. HyperVerge leveraged Azure OpenAI to streamline credit underwriting through advanced bank statement analysis and optimized costs by automating unstructured document processing for BFSI clients.
575. ICICI Lombard utilized Microsoft Azure OpenAI Services to develop a Copilot for claims adjudicators, providing a comprehensive summary of health claims from submitted documents. This solution reduced the time for claims adjudicators to process a single health claim by over 50%.
576. Intesa Sanpaolo Group enhanced its cybersecurity with AI-enabled Microsoft Sentinel and Microsoft Copilot for Security, resulting in faster threat detection, increased productivity, and reduced storage costs.
577. Kotak Mutual Fund utilized Microsoft Azure OpenAI Services and Azure AI Search to handle large volumes of emails, deliver personalized responses, and streamline processes, saving two man-months on repetitive tasks and improving the customer/investor experience.
578. Kuwait Credit Bank unified its security operations under Microsoft Defender XDR, integrating Microsoft Sentinel and Microsoft Purview to enhance its security posture. The bank also uses Microsoft 365 Copilot in productivity apps to help analysts deliver insights and improve collaboration. They reduced security response time by 95%, improved visibility across users, endpoints, and applications, and began exploring AI-powered automation with Security Copilot.
579. Moneyview integrated Azure OpenAI Service models to streamline workflows, improving operational efficiency by 35% and increasing team productivity by 30%.
580. MOZAIQ used Azure AI Document Intelligence to automate end-to-end mortgage fulfillment processing, rapidly innovating its offerings, scaling in line with client growth, and managing cost of delivery.
581. National Bank of Greece built an Azure-powered Document AI solution to transform its document processing, improving the bank’s accuracy to 90%. 
582. Nest Bank has revolutionized its operations by integrating Microsoft 365 Copilot and Azure OpenAI Services, resulting in doubled sales and increased daily transactions from 60,000 to 80,000, showcasing the transformative impact of generative AI in the financial sector.
583. Neutrinos integrated the Neutrinos AI Hub with Azure AI Foundry, enabling insurers to leverage advanced AI capabilities within a unified framework, create context-driven workflows, reduce manual data processing efforts by 70%, and increase claims adjudication times by 40%.
584. OMERS used Microsoft Purview, Azure, and Power BI to develop a solution that supports data-based decision-making at all levels in the organization and reduces manual analysis.
585. Pacifico Seguros adopted Microsoft Copilot for Security to optimize its security operations and anticipate and neutralize threats more efficiently and effectively.
586. Paraná Banco adopted Microsoft Fabric and Microsoft Power BI to improve data analysis and campaign measurement. They also adopted Microsoft Dynamics 365 Customer Insights and Power Platform to unify channels, automate campaigns, and personalize communication, ensuring more efficiency, autonomy, and integration with WhatsApp for improved engagement. They increased productivity by 25% and customer engagement by 55%, ensuring more assertive communications and more efficient operations.
587. Paysafe used Microsoft 365 Copilot to streamline meetings, information management, and document creation, addressing language barriers, eliminating time-consuming tasks, and boosting creativity.
588. Rabobank used Microsoft Purview and Azure Synapse Analytics to develop the Global Data Platform (GDP) that allows users to quickly access data and gain increased speed to insights.
589. Saphyre uses Microsoft Azure and AI to provide an intelligent cloud-based solution that automates and streamlines financial trading workflows around client and counterparty lifecycle management, reducing manual efforts by 75%.
590. Sedwick developed a tool called Sidekick Agent using Azure OpenAI Service and Azure AI Document Intelligence to transform the claims administration process. By integrating agentic AI orchestration and data science into their global claims management systems, they streamlined decision-making and improved claimant experiences and outcomes while supporting cost efficiencies.
591. SimCorp developed Wealth Vision using Azure AI and the Azure platform to help portfolio managers rebalance portfolios. The solution includes a tool called Wealth Lens, which scores each portfolio between 0.00 and 1.00. A portfolio with a value of 1.00 is a prime candidate for rebalancing.
592. Standard Bank developed a Technology Services Desk bot called Karabo using Microsoft Copilot Studio and AI Builder to address internal IT support-related issues.
593. Swift used Azure Machine Learning combined with Microsoft Purview and a Zero Trust-based policy framework to build a highly accurate anomaly detection model for financial transactional data. This model detects anomalies and provides new insights to help predict and prevent financial crime.
594. TAL used Azure OpenAI Service to develop the Claims Assist Knowledge Search for the Claims and Customer Service teams, enabling them to tap into TAL’s knowledge bank and respond to customer queries faster. They also developed a solution that automates manual indexing of emails using a combination of AI and robotics to improve efficiency and accuracy.
595. Tata Capital Limited automated the generation of various sections across the credit appraisal note by leveraging solutions like Azure OpenAI Services and Azure AI Document Intelligence.
596. The World Bank IT and Information Security Office teams were using a duplicative decentralized solution for network monitoring and management. To improve efficiency and reduce costs, they replaced their existing technology stack with a new solution based on Azure Arc, Defender for Cloud, Azure Monitor, and Microsoft Purview. The centralized, single-pane-of-glass solution has greatly improved efficiency and security while reducing operating costs.
597. Trade Ledger uses GitHub Copilot to develop innovative commercial banking solutions. They are developing a Trade and Working Capital Copilot prototype based on Azure OpenAI Service and Copilot technologies that can analyze customer cash flow, assess customer information with the bank’s risk appetite, and provide a credit expert or an operations agent.
598. Zurich Insurance Group uses Microsoft 365 Copilot for Sales to help streamline workflows by integrating AI and sales insights into daily tools like Outlook and Teams, reducing the need to switch between applications and keeping CRM data up to date. The company estimates that Copilot for Sales will save its employees approximately 14,000 hours over the next year.

Government

599. Arizona Department of Child Safety (DCS) worked closely with IBM Consulting to deploy AI-powered virtual assistance using Microsoft Azure OpenAI tools to develop a system for classification of allegations to assist case workers. Today, data retrieval has become 40% more efficient, allowing staff to access critical information quickly, enhancing their decision-making processes.
600. British Medical Association turned to Commvault Cloud on Azure, which helped streamline operations by consolidating the 12 patchwork systems into one centralized platform. They also use Microsoft Security Copilot to enable security analysts to improve the speed, scale, and accuracy of incident response.
601. GovDash is a SaaS platform that leverages AI to streamline the entire business development lifecycle for government contracting companies using Azure OpenAI Service.
602. Hellenic Cadastre built a system using Azure OpenAI services to read and categorize property contracts, apply legal rules, and provide assessments for approval. Today, property transaction assessments take less than 10 minutes instead of hours, reducing costs from 15 euros to 0.11 euros per assessment. The system also enhanced property owners’ legal security and boosted the Greek economy by enabling transactions to be completed sooner.
603. Johor Corporation centralized data on Azure, adopted Microsoft 365 across entities, and rolled out Microsoft Copilot and Power BI to embed AI, streamline collaboration, and enable real-time, insight-led workflows. Their document management system, an AI-enabled Records Management System, combines generative AI with agentic AI capabilities. The platform automates repetitive tasks, streamlines document classification, and improves the accuracy of storage and retrieval—removing the need for manual intervention. This shift enables staff to focus on higher-value work, improving productivity and creating more meaningful impact across the organization.
604. Kern County adopted Purview, Microsoft Security Copilot, and Microsoft 365 Copilot to unify data security, governance, and compliance. They classified more than 13 million files, achieved near-total label adoption, and saw 3,000+ DLP alerts in a month. This reduced risk, improved audit readiness, and laid the groundwork for responsible Copilot adoption and future compliance efforts. It now has visibility into its data risks, consistent data classification and sensitivity labels, access monitoring, and can meet legal requirements.
605. ServiceTitan used Azure AI to build a generative AI tool for its Titan Intelligence suite called “Second Chance Leads,” which evaluates unreviewed and rejected sales leads to uncover missed opportunities. 
606. The Central Provident Fund (CPF) built on Singapore’s Government Commercial Cloud 2.0 (GCC 2.0) platform using Microsoft Purview to better leverage data for decision making, policy formulation, and service delivery with the goal of improving the services for its members.
607. Office of the Council of State of Thailand (OCS) worked with partner STelligence to develop TH2OECD built on Azure OpenAI platform to analyze more than 70,000 Thai legal documents and compare them against more than 270 OECD legal instruments—in real time and across languages. With Microsoft 365 and Copilot, OCS teams now collaborate more easily, update documents faster, and conduct policy analysis more effectively from anywhere in the country.

Healthcare

608. AGS Health used Azure OpenAI Services and Azure Whisper to convert lengthy payer calls to text instantly and create claim correction lists, reducing auditing time by 50% and improving quality outcomes for clients.
609. Albert Einstein Israelite Hospital’s Chief Digital Officer and all physicians have access to Microsoft 365 Copilot. The CDO uses it to help manage their inbox and has established a zero email backlog. Copilot also helps them locate documents and presentations, draft strategic plans, and troubleshoot technical issues.
610. Alder Hey Children’s NHS Foundation Trust used Dynamics 365 AI to predict bed space utilization.
611. Apollo Hospitals Group integrated Azure OpenAI Services into their clinical documentation audit process to automate and improve efficiency and accuracy, minimizing the time and errors in ERM documentation.
612. CHO Montpellier University Hospital deployed Azure OpenAI Service, Microsoft Copilot Studio, and Microsoft 365 Copilot to transform care, research, and operations. Generative AI improves care pathways, generates real-time patient documents, structures medical data, and supports 12,000 staff in training and innovation.
613. Hero AI leverages Azure AI Foundry and Azure OpenAI services to develop a wide range of AI models and tools to transform healthcare and healthcare outcomes. Their solution has led to a 55% decrease in patient wait times and gained 200 hours in emergency room capacity, significantly improving operational efficiency and patient care.
614. Kry harnessed Azure OpenAI Services to develop various AI applications to help analyze vast amounts of unstructured data from clinical notes and medical records to reduce administrative burdens for clinicians. The apps help to widen limited healthcare resources and improve the overall quality of patient care. 
615. Narayana Health developed a bot powered by the GPT-4 model on Azure OpenAI Services to automate the extraction and coding of medical records to help manage insurance claims. This ensures accuracy, consistency and efficiency and reduced coding errors by 40% compared to manual coding.
616. NexJ Health chose Microsoft Azure for its scalable, cost-efficient cloud services, using Azure Kubernetes Service, Azure AI Foundry, and Microsoft Fabric to migrate and modernize infrastructure, streamline deployments, and enhance performance. They have cut hosting costs by 35%, reduced deployment time by 25%, and achieved 100% uptime in the U.S., enabling faster feature delivery, improved reliability, and greater focus on innovation. 
617. Oncoclínics implemented Microsoft Azure OpenAI Services to transform its entire data ecosystem with a web portal and mobile application that performs all image processing and storage.
618. Parexel adopted Azure Databricks and Microsoft Power BI, achieving an 85% reduction in data engineering tooling costs, a 30% increase in staff efficiency, and a 70% reduction in time to market for data product delivery.
619. PointClickCare used Azure OpenAI Services to improve access to real-time data and documentation processes. Providers can stay connected and better coordinate patient care, while users can count on up-to-date patient information to deliver the right care at the right time.
620. Radical Health integrated Azure OpenAI Services and Azure AI services with electronic medical records systems (EMRs) for features like automatic transcription, clinical note generation, predictive analytics, and patient engagement via customizable bots.
621. Seegene is leveraging Azure AI to automate foundational research processes and accelerate genomic analysis with Azure HPC, driving innovation across its entire research and development (R&D) workflow. By transforming the entire process from basic research to in silico simulation to product development, they expect a 75% improvement in workforce efficiency and a 20-fold reduction in analysis time. 
622. SolutionHealth uses Microsoft Dragon Copilot and the capabilities of DAX Copilot with Dragon Medical One to automatically capture and easily edit detailed, structured patient notes directly within its Epic EHR. Clinicians spend an average of 56% less time documenting during encounters and can focus more of their attention on patients in front of them, improving care delivery and alleviating their documentation burdens.
623. Syneos Health created a data platform using Azure that incorporates Azure OpenAI Service to build generative AI apps, enhancing their data analysis capabilities and improving each step of their processes, from clinical trials to commercialization. To date, they have reduced their site-activation cycle time by 10%.
624. The Craneware Group developed the Trisus platform using Azure and integrated Azure OpenAI Service to expand AI capabilities across the platform with Trisus Assist. The solutions help hospitals eliminate manual processes, reduce compliance risks, and ensure accurate billing—resulting in greater operational efficiency and stronger financial performance to better support patient care and community health.
625. Triomics leverages several Azure AI services for their platform, enabling oncologists and their teams to automatically review complete patient records against hundreds of ongoing clinical trials in under a minute.

Legal services

626. Assembly Software Assembly Software developed NeosAI using Azure AI Foundry to automate nearly almost all aspect of the legal workflow. Customers report that NeosAI saved them up to 25 hours per case on manual data entry, document generation, and review, and it cut the time required to draft legal documents from 40 hours to mere minutes.
627. Ballard Spahr worked with Neudesic to create Ballard X-Ray, a large-scale repository and interactive agent powered by Azure OpenAI. The firm also launched Ask Ellis, a custom chatbot that helps craft communications with pre-built prompts. The firm is saving an estimated $2 million in unplanned losses and lifted the administrative burden on lawyers and staff, cutting proposal preparation time by approximately two hours per proposal and decreasing nonbillable research time by 60%.
628. BRANDLEX.AI used Azure OpenAI Services and Microsoft Azure Cloud Services to develop a platform that provides virtual legal information and verified, accurate advice in real-time, all day, every day. The platform serves large Chilean and multinational companies at a lower cost than conventional legal advice. 
629. DraftWise used Azure AI Foundry to develop Smart Draft and Markup solutions. Their developers improved efficiency by 60% over traditional methods, and legal professionals using their solutions expect to boost productivity.
630. Law&Company used GitHub Copilot to develop Korea’s first legal AI assistant, ‘Super Royer.’ The assistant can conduct legal information research, analyze and summarize legal work-related documents, draft legal documents, and provide document-based conversational capabilities. It significantly reduces the time spent on legal work, allowing lawyers to focus on valuable work, such as thinking more about legal logic and communicating with clients.
631. legal-i is using AI to analyze unstructured data and help insurance specialists make better decisions faster—speeding up healthcare and insurance processes by 80% and improving the accuracy of outcomes.
632. Legora used Azure OpenAI Service to streamline legal tasks, enhance compliance, and improve efficiency for thousands of lawyers globally, delivering tangible results for leading law firms. 
633. Mike Morse Law Firm used Microsoft 365 Copilot and Microsoft Copilot with the CoCounsel drafting add-in to write complaints, draft legal documents, and other documents based on the firm’s data and the trusted Thomson Reuters legal database service.
634. Minister Law is looking to leverage Azure OpenAI Services to help with their unstructured legacy file data and automate redaction activities. They have also seen benefits from using Microsoft Security Copilot and believe Microsoft 365 Copilot can help streamline data security.

Manufacturing

635. Accelleron used Microsoft Power Platform to support numerous business applications and simplify processes for service agents and employees, resulting in the onboarding of new agents in 30 minutes, compared to two days for other solutions.
636. BMW Group created a mobile data recorder (MDR) copilot using Azure AI Foundry and Azure OpenAI Service, placing an IoT device in each development car to transmit data over a cellular connection to an Azure cloud platform, where Azure AI solutions facilitate efficient data analysis. The vehicle data covered by the system has doubled, and data delivery and analysis happen 10 times faster. This reduces the lead time for insights from days to hours or sometimes minutes and decreases the cost per outcome.
637. Bridgestone implemented Microsoft Cloud for Manufacturing, Microsoft Fabric, and the Factory Operations Agent in Azure AI to unify data, enhance predictive maintenance, and empower workers with actionable insights through natural language queries. Using Microsoft solutions, they reduced production downtime, enhanced worker productivity, and increased operational efficiency.
638. Bucher Municipal AG developed an AI chat app using Azure OpenAI that provides maintenance teams around the globe with fast and precise access to technical data. This eliminates the need for searching, speeds up maintenance processes, and improves vehicle availability, all of which lowers operating costs and boosts efficiency. 
639. Continental developed a solution called “AI-Based Requirements Engineering” for its Automotive division with the help of NTT Data. The solution uses Azure AI to automatically analyze complex requirements documents. Each project requires up to 37,600 engineering hours of work. With automated analysis, this can be reduced significantly, increasing efficiency in product development and reducing costs.
640. Cummins uses Microsoft Purview to automate data classification and sensitivity labeling, enforcing data sensitivity levels and protections. They also deployed Purview Data Lifecycle Management to enforce customized file lifecycles. Managed access to clean data paves the way for the safe adoption of generative AI. Cummins automatically labeled and classified millions of files.
641. Eastman deployed Microsoft Copilot for Security, realizing the benefits of accelerated upskilling, step-by-step guidance for response, and faster threat remediation.
642. Hetero partnered with Cloud4C and developed an AI workflow using Azure AI Foundry with built-in security enhancements that streamlined the RCA process across 11 plants, providing easy access to real-time insights and predictive analytics to bring life-saving medicines to market faster.
643. Husqvarna Group implemented a suite of Microsoft Azure solutions—including Azure Arc, Azure IoT Operations, and Azure OpenAI—to unify cloud and on-premises systems, enable real-time data insights, and drive innovation across global manufacturing operations. They achieved 98% faster data deployment and 50% lower infrastructure imaging costs, while improving productivity, reducing downtime, and enabling real-time insights across a growing network of smart, connected factories.
644. Intertape Polymer Group (IPG) worked with Sight Machine to develop Factory Copilot, which uses Azure OpenAI Services to provide manufacturing plant data analytics and insights to employees using a chat-based setup. Plant managers can now make quicker decisions based on real-time data that’s analyzed in real time.
645. Konica Minolta used Azure OpenAI Services to develop an internal technical information search application and a research support tool called EDISON, which enables summarization, sharing of experimental records, and publishes them in a magazine for bio researchers.
646. Lenovo leveraged Dynamics 365 Customer Service to rapidly manage customer inquiries by streamlining repetitive tasks, boosting agent productivity by 15%, reducing handling time by 20%, and reaching record-high customer satisfaction.
647. LS ELECTRIC partnered with Sight Machines, Microsoft Cloud for Manufacturing, and Microsoft Copilot to develop a solution that standardizes unstructured data to optimize operations. Copilot allows factory workers to receive control change suggestions to enhance power efficiency, empowering workers to take data-driven actions that enhance product gains and operational performance.
648. Nestlé developed a new AI-powered in-house service to create high-quality product content at scale using Microsoft AI and Azure solutions, reducing costs by 70%.
649. Obeikan Investment Group (OIG) developed a ‘smart factory’ software platform called O3ai. The platform uses Azure OpenAI Services, Azure Machine Learning and Microsoft Copilot to digest and interpret all the data from the factory floor to provide insights to operators in real time, and 20 to 25% of Obeikan’s packaging clients have adopted O3ai.
650. Outokumpu implemented Microsoft’s Intelligent Data platform, including Microsoft Fabric and Microsoft Sustainability Manager, to accelerate their data collection, goal management, and CSRD reporting. They have automated their environmental reporting processes, delivered accurate data for sustainability reporting, and utilized data better to reduce environmental impacts. They’re also now able to develop more robust ways to gather and unify sustainability, operational, and financial data—and use it to unlock new efficiencies, cost savings, and green revenue streams.
651. RICOH Japan implemented a new sales solution based on Dynamics 365 Sales, migrating close to 300 million records. Used by 14,000 users, the new system integrates Microsoft Copilot for Sales and Dynamics 365 to enhance sales capabilities and enable data-driven sales.
652. Rolls-Royce used Microsoft Cloud for Manufacturing to create efficiencies in engine design, turbine production, and engine health monitoring with generative AI and machine learning. They increased machine usage by 30%, with significantly less scrap. The company also accelerated fault resolution from days to near real time. It detects and prevents around 400 unplanned maintenance events annually, saving millions in repairs.
653. Sandvik Group Mining and Rock Solutions business area developed the Remote Monitoring Service using Azure AI Services to remotely monitor mining and rock excavation machines. The solution uses data to produce actionable insights into equipment performance and status.
654. Schaeffler working with Avanade implemented data solutions in Microsoft Fabric and an agent in Azure AI, part of Microsoft Cloud for Manufacturing. The AI-powered insights are maximizing machinery uptime, employee productivity, quality, and yields by empowering employees with instant, actionable near real-time intelligence from across different IT and OT systems, including ERP, SCM, and MES.
655. Sheló NABEL with the support of best practices consulting, implemented Microsoft Dynamics 365 to optimize inventory management, sales, and real-time decision-making. They also incorporated Microsoft 365 Copilot to enhance efficiency and service their growing network of independent entrepreneurs with AI. Since deployment, they have increased sales by 17%, streamlined decision-making, and optimized their inventory of over 400 products in real time. They can now process reports five times faster, enabling more accurate decisions aligned with market demand.
656. ThyssenKrupp is utilizing the Siemens Industrial Copilot, built on Azure OpenAI Services, to address a skilled labor gap and revolutionize machinery programming and operations. 
657. Volkswagen leverages Microsoft Copilot in PTC’s Codebeamer to navigate the increasing complexity of modern vehicle engineering. They also use Microsoft Cloud for Manufacturing technologies to enhance efficiency and productivity in lifecycle management (ALM) tools.
658. ZEISS Group uses Microsoft Fabric to create a secure and trusted data supply chain that can be shared effortlessly across various business units.

Media and entertainment

659. Art Basel developed the Art Basel Companion app powered by Microsoft Copilot. The app, built on Azure AI Foundry, includes a conversational AI companion and a real-time artwork recognition feature called the Art Basel Lens. Visitors can now get recommendations and learn more by scanning art with the Art Basel Lens. With a scalable, flexible tech stack, the user experience is seamless, and Art Basel has seen increased engagement, return visits, and time spent in the app.
660. Dener Motosport Producoes LTD worked closely with BlueShift to support their infrastructure. They deployed Microsoft Fabric to provide real-time analytics quickly to the engineers, allowing them to ingest all their data with Event streams, analyze it with Eventhouse, and distribute it to team managers, race participants, and the public immediately. Before Fabric, it would take 30 minutes now, that process is done in minutes.
661. Cineplex is developing innovative automation solutions for finance, guest services, and other departments, saving the company more than 30,000 hours a year in manual processing time using Power Automate, Power Platform, and Copilot Studio.
662. Dentsu implemented Microsoft Azure AI Foundry and Azure OpenAI Services to build a predictive analytics copilot that supports media insights, cutting analysis time by 80% and overall time to insight by 90%, reducing analysis costs.
663. NFL added an AI assistant to its existing Combine App, using Azure OpenAI Service to deliver fast, accurate answers to natural language questions in real-time. Teams now access insights in seconds, helping coaches and scouts evaluate talent faster—even while athletes are still on the field.
664. Nota used Microsoft Azure OpenAI Service to build two AI-assisted tools—SUM and VID. These tools handle much of the heavy lifting needed to optimize stories for distribution and transform written pieces into engaging videos that can generate up to 10 times more revenue than written pieces.
665. PVR*INOX uses Azure OpenAI for data-driven pricing insights and optimizing movie schedules and ticket prices to boost business revenues.
666. SHUEISHA Inc. is using Microsoft Security Copilot to enable faster incident response, boosting the confidence and effectiveness of cybersecurity personnel.

Nonprofit

667. ARcare adopted Microsoft Fabric in just two weeks. The platform securely stores all data in one place, enabling quick and easy reporting for federal compliance. It has eliminated 6–8 hours a day of manual tasks such as reconciling data. Analytics predict trends and give leadership insights to inform growth strategies, such as where to open new offices. Staff now focus on value-adding projects, including the use of other AI-powered solutions like chatbots.
668. Degrees of Change used AI Builder, Azure OpenAI Services, and Power Automate with Fabric to develop a tool that helps staff make faster and more effective recruitment decisions without burning hours processing raw data. Copilot in Power Apps also helps their citizen developers build more technical features with minimal training.
669. Junior Achievement adopting the Microsoft Cloud for Nonprofit, Dynamics 365 Sales and Microsoft Fabric to easily access their data estate and pull reports for funders within minutes—something that would take hours, if not days, to do manually. As a result, they will be more responsive to supporters, create a better volunteer experience which lead to deeper relationships with its donor community.
670. Operation Smile used Azure OpenAI Services, Fabric, and Power Apps to eliminate manual data entry, resulting in reduced translation errors by about 90% and the time required for completing reports from four to five hours to just 15 to 20 minutes.
671. Peace Parks Foundation is using Azure and Microsoft Copilot to develop a model to better track environmental changes and the impact of climate change on human-animal conflict.
672. Qatar Charity used Copilot Studio to increase its call center efficiency, reducing average handle time by 30%, increased customer satisfaction by 25%, and achieved a 40% reduction in IT maintenance costs.
673. Team Rubicon uses Microsoft Copilot in Dynamics 365 Customer Insights to gather valuable data and insights into its volunteers and donors, leading to more strategic and powerful communication and engagement strategies. The insights let them move quickly, effectively and efficiently to support communities before, during and after disasters and crises.
674. The Salvation Army UK adopted Microsoft Fabric and Power BI to seamlessly report on their properties. Monthly reporting is now based on a single source of truth and takes moments, not days. Dashboards display vital measures, such as compliance data. They have tripled their data trust score in months and cultivated a culture of data-based decision making. Row-level security keeps sensitive property details confidential. Connected data empowers HR, finance, and other teams to leverage the data, too.
675. Toastmasters adopted Dynamics 365 Customer Engagement, Finance and Operations, and AI-powered Contact Center. The platform enables member self-service such as joining online, automates manual processes, and helps staff quickly address concerns. AI-enabled Dynamics 365 helps staff support members faster, creating an excellent experience. Self-service, online attracts a younger demographic and makes it easier for current members to stay, setting the stage for Toastmasters to grow.

Pharmaceutical

676. Mitsubishi Tanabe Pharma has implemented advanced Azure security strategies using Azure OpenAI, which has improved operations, saved 550 hours of work a year, and enhanced security literacy.

Professional services

677. Accenture used Azure AI Foundry to develop a centralized solution for secure generative AI development, including Azure AI Search, Azure AI Content Safety, and Azure Machine Learning. They scaled more than 75 generative AI use cases across industries, reduced the time to build AI applications by 50%, boosted efficiency by 30%, cut costs by 20%, and accelerated their time to market.
678. Accenture developed an AI-powered financial advisor using RISE with SAP on Microsoft Azure to enhance their infrastructure and integrate financial data. 
679. Adya created Vanij with Azure OpenAI and Azure AI services to help businesses in India reduce AI implementation costs by 80%, enabling them to deploy domain-specific AI solutions in just seven days.
680. Aegea is leveraging AI tools, cloud, and data lake to analyze audio and text news, identifying feelings, locations, and people that may impact the company’s operations and image.
681. Anaqua moved its IP management platform to Azure to leverage Microsoft security, data governance, and AI features. They’re also piloting Microsoft 365 Copilot for additional operational efficiencies.
682. ANS is streamlining the selling process with Copilot and agents and seeing significant benefits. Sellers can now ask an agent to collect and summarize information across data sources, gaining valuable insights from previous customer interactions while ensuring customer data protection. With Copilot and agents lightening the load, sellers can now prioritize their time to focus on the most critical accounts and opportunities, which they forecast will increase ANS’s closing ratio by 6.25%.
683. ASC Technologies uses Azure OpenAI Service to develop a compliance recording service that works seamlessly to enable customers to verify industry and country-specific regulations, as well as analyze customer communications to better serve them, mitigating compliance risks.
684. Atomicwork integrated Azure OpenAI Services and AI-powered IT Service Management directly within the Microsoft Teams platform to improve the employee support experience and reduce repetitive support tickets by 50 to 60%.
685. Atomicwork uses Azure OpenAI Services to bring together three powerful capabilities a conversational assistant, a modern service management system, and a workflow automation platform. 
686. BDO Colombia used Microsoft Copilot Studio and Power Platform to develop BeTIC 2.0, a virtual assistant that centralizes and automates key payroll and finance processes. BeTIC 2.0 reduced operational workload by 50% and optimized 78% of internal processes, improving the experience for both employees and clients.
687. Blink Ops fully embraced generative AI to build the world’s first Security Automation Copilot with more than 8,000 automated workflows to assist with any Security/IT task through prompts.
688. BrowserStack integrated Azure OpenAI Service into its software testing platform to dramatically enhance automation and efficiency, reducing QA cycle time by up to 70% and maintenance overhead by over 60%.
689. Burke used Copilot to transform major phase of its research process, from drafting questionnaires and discussion guides to analyzing unstructured data and creating reports. Tasks that once took days now take a few hours. Teams can quickly gather information, deepen industry knowledge, and focus on strategic consulting, providing recommendations faster than ever. By streamlining everything from questionnaire drafts to report creation, they deliver insights more efficiently, helping their clients make timely, well-informed decisions that impact their business strategy.
690. CallMiner used Azure AI Services to improve their platform, offering organizations access to Azure AI Speech for more comprehensive analytics and insights. This allows for a deeper understanding of interactions between customers and enterprises across various channels and at scale.
691. Canopius Managing Agents Ltd. uses Microsoft Copilot to position data where they need it to operate in different territories. They are also exploring GitHub Copilot, Copilot for Security, and Microsoft 365 Copilot.
692. C.H. Robinson used Azure AI Studio and Azure OpenAI Service to build generative AI tools that automate emailed customer requests, reducing speed to market from hours to seconds. This also put them on pace to achieve another 15% increase in productivity and improved their customer service.
693. Cube RM used Azure OpenAI Services with its tender management software to help its customers discover the most relevant tenders among thousands based on their product portfolio, resulting in fewer missed opportunities and an average revenue increase of 10%.
694. Cyient used Azure OpenAI Services, AI Search, Azure Kubernetes Service, and Azure Machine Learning to enable clients to aggregate data from various systems and applications.
695. Darwinbox leveraged generative AI to help enterprises automate daily HR processes and conduct AI-powered job evaluations.
696. DataRobot integrated its solution with Azure OpenAI Services to enable customers to access data reliably and securely, improving how organizations run, grow, and optimize their business.
697. Discover Dollar utilized Azure AI services to help enterprises identify overpayments and revenue leakages hidden within their contracts, invoices, and payment records, uncovering more than $1 billion in customer savings to date.
698. Document360 developed an AI-powered knowledge base and service platform for companies to create, manage, and publish online documentation, including product manuals, SOPs, and wikis.
699. EcoVadis leveraged Azure OpenAI Service capabilities to streamline procurement, enhance buyer productivity by summarizing supplier scorecards, and generate insights from vast amounts of structured and unstructured data.
700. ECS Federal utilized AI Builder in Power Automate to automate the processing of project performance via the mandated use of the Contractor Performance Assessment Reporting System (CPARS) to derive meaningful insights from these performance reviews.
701. Epiq leveraged Copilot Studio to develop AI agents that address common questions around class action suits, such as eligibility and how to file a claim. One AI agent successfully handles almost 50,000 messages for one of Epiq’s largest class action cases. They also developed ‘Launchpad,’ an onboarding solution that saves 2,000 hours of work each month and more than $500K annually.
702. Evalueserve uses generative AI and natural language processing (NLP) to efficiently process and summarize large data sets, making them relevant and accessible. Users experience a 20 to 40% improvement in decision-making.
703. EY Assurance services chose Microsoft Fabric to help unify components of its data supply chain into a single source for advanced analytics and data initiatives. This serves more than 100,000 clients globally by anticipating and independently assessing risk and identifying opportunities to build confidence and enhance trust in business and the capital markets. By unifying all components of the data science supply chain, they expect to expand capabilities and increase the speed of their end-to-end supply chain, ultimately enhancing the quality of service delivery.
704. Fellowmind implemented an integrated solution using Dynamics 365 Finance, Project Operations, Sales, and Microsoft Fabric to streamline project management and sales, simplify and accelerate month-end close by 50%, and allocate resources more effectively. They are also exploring the use of Microsoft Copilot in Power BI and Fabric to further automate and enhance reporting and analytics.
705. Firstsource used Azure OpenAI Services for its FirstSenseAI platform to automate the analysis and processing of explanations of benefits to improve medical insurance coverage and billing.
706. FPT Software deployed Microsoft 365 Copilot across its back-end services to optimize agility and efficiency. They used Copilot alongside Microsoft Clarity to enhance its website performance. The recommended changes contributed to a 3.5 times increase in lead conversion from the website and affected how users navigated content. The increase in engagement also correlated to stronger user intent, which jumped 2.5 times in the four months since implementing Copilot recommendations.
707. Fujitsu used Azure AI Agent Service within Azure AI Foundry to develop an intelligent, scalable AI agent for sales automation, boosting productivity by 67% and enabling their teams to focus on customer engagement.
708. Genpact used Microsoft Azure OpenAI Services to deploy Scout, a comprehensive platform to enable seamless data processing, advanced language capabilities, and improved operational efficiency. 
709. GEP used Microsoft Azure OpenAI Services to power an innovative digital procurement and supply chain platform called GEP Quantum, which shows productivity gains ranging from 25 to 50%.
710. GHD is reinventing the RFP process in construction and engineering with Microsoft 365 Copilot.
711. HCLTech used Copilot Studio to build an agent called Super Assistant that automates routine tasks, enhances customer service with all-day support, and facilitates smooth communication and collaboration within the organization. When an HR ticket comes in, the agent assigns it to a special HR resolver agent. The resolver agent then interacts with employees, connects to backend systems, and works toward a resolution, handing it off to a human employee as necessary. HCLTech expects the new process to resolve cases 40% faster and allow the company to redeploy 30% of its support staff.
712. Hitachi Solutions adopted Microsoft Fabric to utilize Copilot for Power BI to enhance report generation and streamline data management, improving data sharing, governance, and real-time insights. Automating manual processes boosted efficiency and enhanced resource planning and management.
713. House of HR deployed Microsoft Purview, Sentinel, Defender, and Microsoft 365 E5 to ensure the security of all the acquired entities and the personal details of the millions of candidates they collectively receive each year.
714. Husch Blackwell adopted Microsoft Copilot to quickly scan and summarize large documents or online databases to help its workforce accelerate research and analysis. Lawyers use AI to search for specific information and quotes from transcripts or highlight that text in large documents, saving them 8,800 hours and empowering them to spend more time engaging with clients.
715. Icertis leveraged Microsoft Azure OpenAI Services and Microsoft Copilot to develop Icertis Copilots to automate contract-driven processes, expedite contract reviews, and optimize value in negotiations. Icertis Copilots pinpoint potential risks in business agreements to help teams focus on higher-impact tasks and strategic initiatives.
716. IFS North America unified their analytics and operations with Microsoft Fabric and the Cloud Acceleration Factory program, streamlining data management and reporting. IFS NA increased data access from 20% to more than 85%, cut costs, and accelerated insights, empowering faster, smarter business decisions. They are also looking to use Microsoft Copilot agents to generate reports, surface insights, and recommend actions.
717. Infosys uses Microsoft Purview SDK to apply data security and compliance policies to generative AI interactions, block risky prompts, preserve sensitivity labels, and provide visibility into AI activity through telemetry and Microsoft Purview Data Security Posture Management for AI.
718. Insight Enterprises implemented Microsoft 365 Copilot to streamline business operations, achieving a 93% productivity gain in functions such as sales, finance, and human resources.
719. Kaya deployed a custom implementation of Microsoft Dynamics 365 and Power BI to modernize its supply chain, resulting in enhanced visibility, improved planning, and streamlined inter-department operations.
720. KPMG in India utilized Azure OpenAI Services to develop the IKE.GAI platform, enabling IT teams and business owners to explore and build customized applications or agents using pre-built tools. This innovation enhances customer experiences, improves productivity, and reduces costs and time to market.
721. KPMG adopted Microsoft Purview and Defender for Cloud to gain visibility into their security posture, prevent data loss, keep data secure, and protect AI applications against advanced threats.
722. Lumen adopted Fabric to unify ingestion, storage, and analytics in one platform, providing real-time insights companywide to improve decision-making. They also embedded Microsoft 365 Copilot in notebooks and Power BI, helping teams write cleaner code and speeding up development cycles.
723. Kyndryl chose Copilot as its go-to AI tool, and the response from the 20,000 employees using it has been enthusiastic 60% believe Copilot has increased their creativity, and more than half report 10 hours or more of increased productivity. To help its employees get quick and accurate responses to their IT requests, Kyndryl built an agent that connects to its current ticketing system and backend data.
724. Larsen & Toubro developed a customized Poly-LLM framework and a composite AI approach, supported by Azure OpenAI Services for secure, scalable infrastructure to improve project cost estimation and real-time tracking, resulting in efficient resource allocation and productivity enhancement.
725. Lionbridge Technologies, LLC is using Microsoft Azure and Azure OpenAI Services to accelerate its delivery times and improve quality, reducing project turnaround times by up to 30%. 
726. LlamaIndex uses Azure OpenAI to connect enterprise data to language models and provide secure and private AI, while Azure AI Search is used for efficient data retrieval and processing. They now have more accurate data processing, cutting report time by 20 hours.
727. LTIMindtree integrated Microsoft Copilot for Security, offering automated incident response, integrated threat intelligence, and advanced threat analysis.
728. Mews implemented Microsoft Sentinel and Azure OpenAI Service with the help of partner Noibit to integrate and automate security workflows, enhancing the security of customer data and transactions. They improved detection accuracy by 40%, cut false positives by 50%, and improved threat response times by a factor of 120. 
729. Mitie adopted Microsoft Fabric to handle the full data lifecycle, enabling Azure AI and machine learning capabilities to deliver predictive insights and optimize operations. This has improved data efficiency, powered predictive services, and enhanced sustainability while delivering exceptional services to its customers and communities.
730. Mondra Global Limited developed an AI copilot called Sherpa that empowers clients to uncover new data-driven insights with Azure OpenAI and vector support in Azure SQL Database. Mondra has slashed the LCA timeline from several weeks or months to just four hours by monitoring data on more than 60,000 products and 1 million ingredients. Sherpa will empower clients to create more sustainable sourcing practices.
731. Needl.ai used GitHub Copilot and Azure OpenAI Services to develop an AI assistant that can analyze data from multiple sources in one destination, providing auto-organized, intelligent updates, which improved productivity by 40%.
732. Neo4j combined Microsoft Fabric and Microsoft Azure OpenAI to increase operations and help organizations integrate both structured and unstructured data effortlessly.
733. Newgen leveraged Azure OpenAI services for NewgenONE Marvin to expedite application development and streamline content management, resulting in dynamic, personalized, and multilingual customer communication.
734. NoBroker created ConvoZen with Azure OpenAI Services for efficient transcription and insights from conversations in various languages, automating 90% of quality audits, improving agent efficiency by 30%, and enhancing violation tracking by 16 times.
735. Nsure developed an AI-powered agent that uses Copilot Studio and Power Automate to reduce manual processing time by 60% and associated costs by 50%.
736. Orderfox will combine Gieni AI with Microsoft 365 Copilot to enable users to integrate AI-powered insights into their operations, providing more informed decision-making.
737. Persistent created SmartQMS with Azure OpenAI Services and Microsoft Power Platform for a unified interactive platform that enables its engineers to seamlessly access knowledge bases, process assets, solution accelerators, tools, and intellectual properties.
738. Pincode is transforming hyperlocal commerce for offline supermarkets, using Azure OpenAI Service for streamlined catalog onboarding and real-time inventory management. 
739. Presidio realized dramatic productivity gains, saving 1,200 hours per month on average for employees using Microsoft 365 Copilot and creating 70 new business opportunities.
740. Rackspace Technology® used Azure Arc to improve both SQL licensing and delivery of Extended Support Updates, planning total cost of ownership (TCO) savings of $40 million over the life of the DCO commitment. Their goal is to reach 80% growth in customers consuming Azure Arc over the next three years. They’re looking at using Copilot or data and AI within Azure to utilize this new innovation for business growth.
741. RazorSign created SensAI, powered by Azure OpenAI Services, to conduct preliminary contract reviews, identify deviations, accelerate negotiations, and reduce cycle times.
742. Rezo.ai used a combination of Azure OpenAI Services with Azure Compute and Cognitive Services to enable its customers to achieve scalability, cost savings, and deliver exceptional customer satisfaction.
743. Saarthi.ai developed the Agentic AI platform to help with the debt collections process. The platform achieved a 60 to 90% reduction in cost-to-collect per account and a reduction in delinquency between 15 to 30%. 
744. SeAir Eximpedia used Azure OpenAI services to standardize more than half a billion supplier records. In just two weeks, 500,000 unique supplier details were identified and organized with 99% accuracy.
745. ShepHertz developed TalentAnywhere.ai using Azure OpenAI services, GitHub Copilot, and Microsoft Security Copilot to optimize both candidate-job matching and enterprise recruitment processes, increasing placement precision and operational efficiency.
746. Smarten Spaces developed Sia (Space Interactive Assistant), built on Azure OpenAI services, to help organizations better understand workplace utilization, reducing operational costs of managing spaces by 30 to 40%.
747. Spotfire selected Microsoft Azure AI Foundry and Azure OpenAI to create an intuitive, conversational analytics platform. Multimodal capabilities in Azure incorporate natural language and visual elements, simplifying complex tasks. As a result, tasks previously taking days or weeks can now be completed in minutes, significantly enhancing productivity, accelerating innovation, and reducing operational costs.
748. Syensqo.AI developed SyGPT, a chatbot powered by Azure OpenAI, to enhance data access and operational efficiency using different data sources to answer questions.
749. Tata Consultancy Services, an IT services, consultancy and business solutions organization, infused GitHub Copilot into their software engineering process to explore the potential of reimagining the traditional software development life cycle.
750. Tata Projects implemented Microsoft Security Copilot to increase security for sensitive customer data and is using Azure OpenAI Service to help its clients adopt generative AI.
751. Tech Mahindra developed agentX using Microsoft 365 Copilot to boost productivity by up to 70%. By using GitHub Copilot, they were able to produce higher quality code at a faster pace and improve deployment timelines.
752. The Adecco Group has chosen Microsoft Dynamics 365 Finance as the foundation for its core finance back-office processes and the backbone of its future finance system architecture. They are also exploring Copilot in Dynamics 365 Finance for zero-touch processes like autonomous close and other ways to automate at scale.
753. Thoucentric utilized Microsoft Azure OpenAI services to build solutions that enable the creation of intelligent sales and query chatbots, enhancing outreach and customer engagement.
754. Trelent transitioned to Azure OpenAI to improve the company’s business offerings and increase developer performance.
755. TurboHire utilized Azure OpenAI to reduce time-to-hire by 65%, improve recruiter productivity by 2X, and achieve a more than 500% ROI in the first year.
756. UST Global developed an AI solution powered by Azure OpenAI Services-based foundation models to process and interpret complex patient information.
757. UST Global built a comprehensive, unified Employee Data platform on Microsoft Fabric to better manage and integrate data across diverse regions and systems. They eliminated the need for separate data pipelines for each entity, enhancing data accessibility and employee productivity and enabling a self-service model that removes gatekeeping and promotes data-driven decision-making.
758. Voltas Limited utilized Microsoft Copilot to enhance AI analytics for better forecasting, paving the way for a more connected, intelligent, and resilient future.
759. Vue.ai’s platform, integrated with Azure AI services and Azure OpenAI Services, provides an AI orchestration platform that simplifies the adoption and scaling of AI across enterprises.
760. WinZo leveraged GitHub Copilot to accelerate development, automate infrastructure setup swiftly, and seamlessly expand into new geographies.
761. Writesonic migrated to Azure and uses Azure AI Foundry Models and Azure Kubernetes Service to power its AI SEO and content agents for generating data-driven, SEO-optimized marketing strategies and content. The new platform now reflects improved bounce rates and greater conversions, increasing total revenue from enterprises tenfold.
762. Xceedance utilized Azure OpenAI Services to redefine and streamline the data extraction and interpretation process within the insurance sector.
763. Zomato created a Copilot using Azure OpenAI Services to help them run operations better, faster, and often in a cost-effective manner.
764. Zycus leveraged Azure OpenAI Services to solve supplier discovery and risk management, autonomous procurement, and intake management.

Retail and consumer goods

765. Anadolu Efes collaborated with ADEO to implement Microsoft Defender for Endpoint, Identity, and Cloud, Microsoft Sentinel, Purview, and Intune, along with managed detection and response services for comprehensive IT protection. As a result, they improved visibility and shortened detection and response times to an average of 15 minutes and 30 minutes.
766. Animal Supply Company partnered with Neudesic to use its Document Intelligence Platform (DIP) solution that runs on Azure and Azure AI to transform the invoice processing experience, delivering more than $500,000 annually in cost savings as invoicing becomes more precise. The reduction of low-value work has also freed up 50% of ASC’s invoicing experts, allowing them to focus on working through exceptions and building stronger relationships with vendors.
767. Avocados from Mexico (AFM) collaborated with Lantern to implement Microsoft Fabric, centralizing disparate data sources and creating a single, trustworthy place for employees to access data for reporting and analytics. Now, employees can quickly create reliable reports, enabling leaders to make better data-driven decisions. AFM has significantly increased productivity and reduced costs by automating processes. 
768. Chalhoub Group is utilizing Microsoft Fabric to modernize its data analytics and streamline its data sources into one platform, increasing agility, enhancing analytics, and accelerating processes.
769. Coca-Cola Company leveraged Azure’s open ecosystem and Azure AI Foundry’s global speech services infrastructure to produce a custom model for its iconic Santa to converse in real time with more than a million people in 26 languages—with sub-millisecond performance outcomes. In just 60 days, Coca-Cola launched a campaign that engaged consumers across 43 markets and 4 global regions, while integrating 15 services—successfully marking the beginning of future, AI-powered campaign possibilities.
770. Crestar Fans developed an agent in Copilot Studio and trained it on all existing documentation to ensure that their sales and customer service teams use consistent pricing when generating installation quotes for customers.
771.  ECE Group migrated their on-premises data warehouse to Microsoft Fabric. The implementation code was generated using Azure OpenAI Services, reducing the workload by up to 50%. Optimizing the code by hand would have extended the project timeline by 300 to 400 days.
772. Fast Shop migrated to Microsoft Azure, creating a self-service culture of access to data, eliminating delays, reducing costs, and increasing leadership satisfaction with data while providing more agility in reporting.
773. Florida Crystals adopted a value-added solution across Microsoft products, including Microsoft 365 Copilot, to reduce telecom expenses and automate industrial process controls.
774. Grupo Bimbo is deploying Microsoft’s industrial AI technologies to modernize its manufacturing processes, optimize production, reduce downtime, drive significant cost savings, and empower global innovation.
775. Grupo Casas Bahai adopted Microsoft Fabric and Autoscaling in Microsoft Power BI Premium to increase its base capacity to process an immense amount of data and dashboards, as well as focus on optimizing operations to generate savings.
776. Heritage Grocers Group adopted Lucid Data Hub, a solution from Adastra that uses Microsoft Fabric for deep analytics, cost-efficient data processing, and AI-powered insights. The companies collaborated to build the new solution in two months, increased data acquisition speed, brought the total number of stores to 115, and processed 1.3 terabytes of POS data efficiently with automated data sorting—while saving at least $500,000.
777. Iceland Foods chose Microsoft Fabric and Fabric Real-Time Intelligence, interoperating with Azure AI Foundry, including Azure OpenAI services, giving the company the ability to use AI-powered analytics for regulatory reporting, risk assessments, and customer insights.
778. Kepak implemented Microsoft Fabric to have an all-in-one analytics solution for its 13 manufacturing facilities, creating a more unified system with better governance, more accurate insights, and overall improved efficiency to continue providing high-quality food products to people everywhere.
779. Majid Al Futtaim Retail used Azure Synapse Analytics, Power BI, and Azure OpenAI to centralize data, automate reporting, and integrate advanced AI for better targeting and feedback analysis. The company saved $1 million USD annually, cut feedback processing time from seven days to three hours, and improved geographic targeting, boosting efficiency with AI-powered solutions.
780. Mania de Churrasco utilized Microsoft Azure, Power Platform, and Microsoft 365 to achieve high efficiency, security, and scalability in its operations, in addition to improving its data intelligence, which indirectly contributed to a 20% increase in sales year on year.
781. Microsoft team transitioned to Microsoft Fabric for its end-to-end data and analytics capabilities. They leverage OneLake to transform data, with notebooks implementing business logic, creating detailed reports through Power BI dashboards. This setup has reduced processing times by two-thirds, and reports are delivered five hours sooner. Data generation costs were also reduced by 50%. The team plans to expand Fabric to 50 more solutions and integrate it into Copilot for more insights.
782. Microsoft formed IDEAS (Insights, Data, Engineering, Analytics, Systems) to build a comprehensive data analytics platform to reduce data barriers and accelerate productivity, transitioning its data to Fabric. The platform solution projects a 50% efficiency boost from consolidating assets in OneLake, enhanced productivity using modern analytics tools and Direct Lake in Power BI, and AI-assisted coding via IDEAS Copilot.
783. Now Optics collaborated with Avantiico to transform its business operations and ERP. They transitioned to Dynamics 365 and utilized Fabric as their data platform. They also adopted Dynamics 365 Supply Chain Management, unifying their data estate to gather strategic business insights using AI and machine learning, allowing them to focus on planning and long-term growth opportunities.
784. Planted integrating Azure OpenAI Services to manage everyday tasks more efficiently and facilitate the search for information for innovative process development. 
785. Prowess Selling Skills Pvt. Ltd. leveraged Azure OpenAI Services to create AI-based solutions that help retailers identify patterns, understand demand-supply causality, and enhance decision-making processes for quicker and more informed actions.
786. PZ Cussons deployed Microsoft Fabric and Azure Databricks to ingest and harmonize data from various sources, providing accurate sales, market share, and price data for an initial use case, Revenue Growth Management. This implementation provides a single source of truth for data, improving decision-making and increasing efficiency.
787. QNET leverages Microsoft Copilot for Security to analyze the influx of data and identify security threats more quickly. Users report up to 40% time savings and a 60% increase in efficiency for security teams, regardless of their level of expertise.
788. StarKist Foods utilized Azure to effectively unite production and demand processes with finance, reducing the planning cycle from 16 hours to less than one. 
789. Super Hosokawa Co, Ltd. utilized Azure AI Foundry and Azure OpenAI to develop models aimed at reducing food loss by linking data between supply chains. Combining human ordering with demand forecasts improved accuracy and cut food waste. Forecasts with latent demand also boosted sales.
790. The Estée Lauder Companies turned to Microsoft 365 Copilot, Copilot Studio, Azure OpenAI Services, and Azure AI Search to gather data, identify trends, build marketing assets, inform research, and move to market faster.
791. The ODP Corporation utilizes Azure AI Foundry and services like OpenAI, AI Search, and Document Intelligence to build secure, scalable chatbots for HR, sales, and retail teams to serve customers, support employees, and stay competitive. The chatbots now support 16,000-plus associates. Prompt volume grew 431% YoY and sales reps saved more than 25 hours with automated quotes.
792. Visual Comfort & Co. consolidated data with Microsoft Fabric and connected Dynamics 365 to its wholesale enterprise resource planning software to deliver real-time inventory visibility in the showroom and online. Since the move, they have improved order accuracy and delivery forecasting, optimized inventory management, reduced excess stock, and improved warehouse efficiency.

Telecommunications

793. KT Corp implemented Copilot to quickly generate content that aligns with KT’s voice and objectives, minimizing errors and reducing writing time. KT is also using Copilot to automate routine tasks such as formatting, maintaining language consistency, data entry, proofreading, cross-referencing, and compliance checks. KT estimates that this AI support will save thousands of hours annually, translating to millions in savings.
794. NTT Data utilized Microsoft Fabric and Azure AI Agent Service to develop AI agents in a simple, reliable way. The AI data agents focus on HR and front office operations to improve efficiency.
795. Vodafone deployed an agent built in Copilot Studio that taps into the company’s vast internal knowledge bases to pull out answers to legal questions, product specs, and more. Within five days of launch, salespeople were using the agent regularly, and Vodafone predicts that each salesperson will ultimately be able to double or triple the number of RFPs they respond to each week.

Travel and transportation

796. AGMC collaborated with Pulses.ai to create the Sphere 360 solution using Azure AI to transform its logistics and operations. Today, employees can quickly locate and move vehicles at its service center, ultimately improving customer satisfaction.
797. AI Magix utilizes Azure OpenAI Services and machine learning for its Inspection One platform to automate automotive inspections, increasing throughput by 60%, achieving 85% accuracy in defect detection, and cutting Costs of Poor Quality by 45%, ensuring compliance with stringent quality standards.
798. Alstom is leveraging GitHub Copilot to generate engineering assets in a cost-efficient and sustainable way. Other co-pilots integrate at all stages of the value chain, significantly reducing the time required for various tasks. They also use Azure OpenAI Service for content generation, translation, and document intelligence to drive efficiency, helping the team remain on target and budget.
799. Danske Statsbaner has increased productivity by up to 30% with the help of Microsoft AI solutions.
800. Gamer Logistics and AizenFlow developed an AI-powered software platform that streamlines the freight brokerage process, significantly reducing complicated tasks and time-intensive processes from 24 hours to just 15 minutes.
801. Netradyne utilized Azure OpenAI Services to power Safety Assistance Manager, integrating it into fleet dashboards to enable managers to retrieve driver performance data in seconds, thereby improving decision-making and operational efficiency.
802. Network Rail modernized its data analytics solution with Microsoft Azure, helping engineers understand data 50% faster than before, improving efficiency, passenger experiences, and safety—all while saving costs.
803. Renting Columbia utilized Azure AI services to develop a virtual assistant using machine learning to automate processes and identify service and maintenance needs for its fleet of more than 35,000 vehicles. They have reduced the analysis time of service orders by 92%, transforming a process that took up to four hours into an automatic process of just a few seconds.
804. Swiss International Air Lines migrated and modernized with Microsoft Azure, achieving up to 30% cost savings, a remarkable boost in platform stability, and enhanced security visibility.
805. U.S. AutoForce implemented Dynamics 365 Supply Chain Management to centralize warehouse data, connect processes, and improve operational efficiency while using Microsoft Copilot for Finance to automate monthly reconciliations.
806. Verne consolidated more than 10 data sources with Microsoft Fabric and plans to integrate more than 30 in total. It automated reporting and expanded access to Power BI reports across its departments. They have cut reporting time by 20% and anticipate reaching up to a 50% decrease in total. Thanks to integrated data, teams can quickly identify trends, create reports, and make fast, data-driven decisions.
807. ZF Group enhances manufacturing efficiency with more than 25,000 apps and 37,000 unique active users on Power Platform.

Bending the curve on innovation

Generative AI is revolutionizing innovation by speeding up creative processes and product development. It’s helping companies come up with new ideas, design prototypes, and iterate quickly, cutting down the time it takes to get to market. In the automotive industry, it’s designing more efficient vehicles, while in pharmaceuticals, it’s crafting new drug molecules, slashing years off R&D times. In education, it transforms how students learn and achieve their goals. Here are more examples of how companies are embracing generative AI to shape the future of innovation.

Aeronautics and space

808. Loft Orbital leverages GitHub Copilot to write code more efficiently and uses Microsoft AI to enable their customers to deploy AI applications into space onboard satellites. Loft processes the collected earth’s observation data or RF data, at the edge and transmits meaningful information in real-time. AI pattern matches to detect features and extracts critical insights. Internally, AI is used for quality assessment, information management and streamlines operational processes.
809. NASA created Earth Copilot to transform how people interact with Earth’s data.

Agriculture and fishery

810. AgriConnect is an AI-powered application designed to help Filipino farmers tackle both common agricultural challenges and natural disasters. Based on Microsoft AI, AgriConnect translates complex agricultural data into a simple, intuitive warning system that guides farmers in making informed decisions. It helps farmers optimize their resources, reduce the use of harmful pesticides, improve crop resilience to climate change, and ultimately enhance profitability.
811. eFishery utilizes Azure OpenAI Service to provide farmers with data and insights on fish and shrimp farming, including more precise feeding and water quality monitoring.
812. ITC developed ITCMAARS to offer a range of agri-solutions to farmers. Krishi Mitra is a farmer Copilot powered by generative AI that allows farmers to ask questions and receive useful responses.
813. Kilimo uses Azure to collect and analyze meteorological data, soil moisture levels, and satellite imagery. They then use Azure AI and machine learning to inform farmers precisely how much they need to irrigate, achieving the optimal balance of quality produce with maximum water savings. Kilimo securely communicates among its various resources using Azure Virtual Network.
814. KissanAI leveraged Azure OpenAI Service, Cognitive Services, and speech services to develop a voice-based Copilot that reaches 100,000 farmers, delivering real-time advice on farming-related topics.
815. Opportunity International collaborated with AIS Partners and Artefact to develop Ulangizi AI, a Microsoft Azure-based AI solution that immediately and accurately answers farmers’ questions in Malawi. The chatbot solution draws on information from the Malawian Ministry of Agriculture stored in an Azure database and provides authoritative information in English and Chichewa via text and voice.
816. Project Guacamaya uses daily satellite images and various AI models tailored to the Amazon ecosystem to help prevent deforestation, allowing for quicker action to be taken in at-risk areas.

Biotechnology and bioscience

817. Basecamp Research aims to build the world’s largest database of national biodiversity and apply AI and machine learning to advance bioscience.
818. Enveda is utilizing Microsoft AI to revolutionize drug discovery by unlocking the potential of the vast majority of undiscovered molecules in nature. With generative AI, they can identify and analyze thousands of compounds simultaneously, significantly speeding up the drug development process and reducing costs. By decoding nature’s chemistry at scale, they can deliver drug candidates to clinical trials four times faster and at nearly one-tenth the cost.
819. Haut.AI provides skin care companies and retailers with customizable, AI-based skin diagnostic tools developed with the help of Microsoft AI. 
820. Institut Curie and Microsoft partner Witivio developed Copilot for Researcher, an agent that can help researchers with some of the administrative tasks in their jobs, giving them more time to spend on new ideas in the fight against cancer.
821. Paige.AI​ is utilizing AI and Microsoft Azure to accelerate cancer diagnoses with data from millions of images.

Education

822. AI for Malaysia’s Future is driving AI skilling opportunities across all levels of society. So far, more than 400,000 Malaysians have been equipped with AI skills, and the goal is to upskill 800,000 by the end of 2025.
823. Auburn University is integrating Microsoft Copilot to enhance AI literacy, accessibility, and collaboration. The goal is to broaden educational and economic opportunities for the entire academic community through AI-centric tools.

824. Babson College leveraged Microsoft Copilot, Azure AI, and Microsoft 365 to create predictive models that identify students facing financial, emotional, and academic challenges. Additionally, a mathbot was developed to enhance learning outcomes in Science, Technology, Engineering, and Mathematics (STEM) courses and statistics.

825. BINUS University has integrated Microsoft AI technology into its operational activities and learning systems. Using Microsoft Azure Machine Learning, BINUS can now predict student intake at each campus, including those outside Jakarta, with up to 90% accuracy. They can also add summaries to the Detailed Personal Information (DPI), providing a brief overview of students’ key achievements. Creating these summaries manually would be time-consuming. However, with the help of generative AI based on Azure OpenAI service, these summaries can now be created automatically, efficiently, and accurately.
826. California State University (Fullerton) developed TitanGPT, powered by Azure OpenAI Service and nebulaONE®, to streamline HelpDesk support and improve their IT ticketing system.
827. Case Western Reserve University implemented chatbots powered by various AI models, including Azure OpenAI, to assist the community in analyzing images and PDFs linked to specific data sources for departmental or group use.
828. Cloudforce developed the nebulaONE® solution, powered by Azure OpenAI Service, to simplify access to Microsoft’s most advanced generative AI capabilities. The solution has built-in security and privacy features that allow higher education institutions (students, faculty, researchers, and staff) to harness cutting-edge AI models to reimagine learning experiences, accelerate research, protect intellectual property, and drive institutional efficiencies in every department.
829. Chinese Testing International Company Limited (CTI) partnered with Microsoft Research Asia and Azure AI speech to integrate AI into Chinese language education. This partnership led to the development of advanced tools such as facial recognition and intelligence assessment, resulting in the Learn Pronunciation to HSK application, which provides instant feedback to learners.
830. Classplus used Azure OpenAI service to develop Samadhan AI, a hyper-personalized and efficient study companion for students, helping them prepare with confidence for competitive exams.
831. Department of Education (DepEd) is empowering teachers nationwide to integrate Microsoft 365 Copilot into their workflows. This initiative aims to provide students with a more interactive and engaging learning experience while also enhancing efficiency and productivity.
832. Department of Education (DepEd) has partnered with Microsoft to improve literacy outcomes in the Philippines. By using AI tools and the Reading Progress tool, this collaboration aims to empower both educators and learners.
833. Education Department of Metropolitan Lima (DRELM) in collaboration with the World Bank, is piloting Microsoft 365 Copilot to enhance the learning experience for students and teachers in Peru’s educational system.
834. Educational Foundation Freiburg developed Horizon, a custom web app and learning space leveraging the Azure AI Foundry ecosystem. This platform empowers students and teachers to creatively use AI, investigate the ethical implications of the technology, and prepare for the future.
835. Fulton County Schools educators introduced Copilot Chat as a collaborative tool, offering coaching on topics like prompting. They quickly observed an increase in student confidence and curiosity. Students used Copilot chat to brainstorm ideas, receive immediate, non-judgmental feedback, design multimedia projects, identify and correct code errors, tailor content to their preferences or pace, and manage their time effectively.
836. Georgia Tech is leveraging Azure OpenAI Service to improve the electric vehicle (EV) charging infrastructure. This initiative enables rapid data classification and predictive modeling, emphasizing the reliability of networked chargers compared to non-networked ones.
837. HelloTalk uses Azure AI services to enhance its features, providing language learners with a more effective and immersive experience that fosters greater cultural understanding. These tools include real-time speech-to-text and subtitles in Voicerooms and live streams, text-to-speech in Moments posts and Chat, and pronunciation assessment in Moments posts and course dialogues. These services help language learners understand the context of conversations, grasp the meaning of what is being said, improve their speaking skills, and enhance their overall language learning experience.
838. Indiana University’s Kelley School of Business has integrated Microsoft 365 Copilot across coursework, career services, research, and operations. This integration provides AI-powered writing support, career guidance, research assistance, and administrative efficiencies. As a result, student performance has improved by 10%, and the time spent on assignments has been reduced by 40%. This prepares students to thrive in the future of work and lead with confidence in their careers.
839. International Institute for Management Development (IMD) used Microsoft Azure, Microsoft 365 Copilot, and Microsoft Copilot Studio to deploy AI-powered tools, including chatbots, personalized learning paths, and scalable education platforms.
840. IU International University of Applied Sciences (IU) is leveraging Azure OpenAI service to create Syntea, an AI avatar integrated into Microsoft Teams and Microsoft 365 Copilot. This innovation aims to make learning more personalized, autonomous, and flexible.
841. Khan Academy has partnered with Microsoft to provide AI tools that save time and enhance lessons for millions of educators.
842. Lexmark developed the Lexmark Translation Assistant using Azure AI Translator to help school districts across the US communicate with students’ family members who speak a variety of languages. The solution scans, prints and translates, significantly saving time and money.
843. Macquarie University developed virtual peer, an AI-powered chatbot designed to provide students with real-time, all-day support for academic and administrative queries. Students who used the chatbot two weeks before the exam scored nearly five marks higher on average—a 9.45% improvement—and the chatbot achieved a Net Promoter Score of 92.
844. Maryvit School partnered with PowerSchool to introduce PowerBuddy, an AI assistant powered by Microsoft Azure OpenAI services. PowerBuddy creates lesson plans and personalized learning activities, helping students stay focused. According to teachers, 98% felt that PowerBuddy saved them time in lesson creation, with 50% reporting savings of 20 minutes or more per lesson or assessment.
845. Miami Dade College (MDC) adopted Microsoft 365 Copilot for its AI-powered automation, seamless integration with Microsoft tools, and its ability to support the college’s ambition of advancing education. Since deploying Copilot, MDC has seen a 15% increase in student pass rates, a 12% drop in course dropout rates, and significant time savings for faculty and staff, allowing them to focus more on student success and mentorship.
846. MIKO uses Azure AI Speech to tailor children’s reading experiences by assessing pronunciation, fluency, and Lexile scores. This enables the delivery of adaptive, data-driven feedback, fostering confident, lifelong readers.
847. Minecraft Education is a gamified learning platform designed to introduce coding and AI to students at an early age, equipping the younger generation with essential digital skills.
848. Ministry of Education (MOE) & Ministry of Higher Education, Science Research and Innovation (MHESI) have launched the THAI academy—AI in education project. This collaboration aims to transform Thailand’s education system with AI, ensuring equitable access to future-ready skills for Thai citizens of all ages.
849. Nagase Brothers developed an English writing bootcamp that leverages Azure OpenAI services. The bootcamp guarantees 99.9% availability and ensures security across 10 regions globally. An impressive 90% of student respondents expressed their desire to continue using the tool.
850. National Taiwan Normal University (NTNU) used Azure OpenAI service to develop an English-language learning platform in collaboration with the Taiwan Ministry of Education. The platform built 10 educational “CoolE” bots for the Cool English platform, each with its own unique personality. These bots engage students in various scenarios, such as solving mysteries as a detective or gaining career insights from an enthusiastic data analyst. Their language can be adjusted to different ages and proficiency levels, providing a more personalized learning experience.
851. National Yunlin University of Science and Technology leveraged Azure OpenAI services to create an intelligent customer service robot. This robot, deployed on the university portal, assists students in quickly querying school affairs information. Additionally, the university converted more than 20 years of written data into vectorized data, enabling the development of several value-added applications.
852. SEDUC is using Microsoft 365 Copilot for administrative tasks—such as generating legal documents and handling administrative inquiries—and has expanded to include AI usage with students and teachers, including personalized learning to cater to individual student needs and help them recover from learning losses during the pandemic.
853. SKEMA Business School adopted Microsoft 365 Copilot to enhance the overall learning experience. For faculty members, Copilot assists with administrative tasks. For teachers, Copilot allows more dedicated time with students. For students, it developed the SKEMA AI tutor, offering personalized attention to support their learning journey.
854. South Australia Department of Education launched EdChat using Azure OpenAI service for students and teachers. It also implemented Azure AI content safety to employ advanced models to identify and mitigate harmful and risky content. A trial demonstrated EdChat’s effectiveness in enhancing educational experiences safely, leading to its broader adoption.
855. Srisuvit School uses Microsoft Copilot to help students understand math problems and solve them faster. It also helps teachers inspire and nurture the next generation of thinkers, innovators and leaders.
856. Swinburne University of Technology leverages generative AI to analyze student feedback from thousands of survey responses, extracting key themes and sentiments. This makes it easier for educators to act on student feedback.
857. Tecnológico de Monterrey developed a generative AI-powered ecosystem using Azure OpenAI service to personalize education based on students’ needs, enhance the learning process, boost teachers’ creativity, and save time on repetitive tasks.
858. Temasek Polytechnic introduced Microsoft Copilot Studio into its curriculum to give students more practical experience, cultivating a citizen developer culture among its faculty, staff and students, streamlining administrative tasks and reducing workload to save time. It also launched Singapore’s first low-code/no-code specialist diploma in low-code app development for business.
859. The University of Manchester rolled out Microsoft 365 Copilot to three cohorts of users. They discovered that the administrative burden during meetings was reduced by 98%, leading to a cost saving of 48%. Additionally, they are evaluating the potential use of Copilot for security purposes.
860. Indonesia’s Universitas Terbuka leveraged Microsoft Azure OpenAI Service and Azure AI Foundry to develop an AI tutor. This AI tutor provides accurate, curriculum-aligned responses and streamlines student assessments. It currently supports 500 classes and approximately 100,000 students.
861. University of California (Los Angeles) Anderson Graduate School of Management developed a bot powered by Azure OpenAI and nebulaONE® to support MBA students with their capstone projects. They also deployed bots to help students register for classes, provide feedback on essays, and an agent to reduce administrative tasks for career coaches.
862. University of Maryland developed TerpAI, a chatbot powered by Azure OpenAI and the nedulaOne platform. TerpAI serves as a digital assistant and educational resource, helping faculty and students brainstorm ideas, analyze data, create study guides, and develop lesson plans.
863. University of Oslo UiO team used a combination of Azure OpenAI service, local storage, and on-premises hosting of the web app to build a compliant AI environment that allows for the safe creation, customization, testing, and integration of models into the unique GPT UiO service. Due to the high levels of privacy and personalized experiences, the university’s students and faculty actively use GPT UiO for research, writing, creating presentations, and experimenting with AI.
864. University of South Florida is leveraging Microsoft 365 Copilot to reduce the burden of repetitive, time-consuming tasks. This allows faculty and staff to focus on creatively solving problems, conducting critical research, building stronger relationships with peers and students, and using their expertise to forge new, innovative paths.
865. UpGrad Education has built an integrated IT ecosystem using Microsoft products to transform its learning environment. They have also integrated GitHub Copilot and Microsoft Copilot to enhance coding and improve ticket resolution. With AI-powered automation, upGrad has optimized IT operations and internal workflows, significantly boosting productivity. Enrolled learners can also take Copilot classes for advanced AI skills.
866. Wichita Public Schools uses Microsoft Copilot to support its 50,000 students and 5,600 teachers and administrators. Copilot can find information with links to content sources and make that information accessible at the reading level and in the language a student needs, while ensuring data protection.
867. World Traveler uses AI, including Microsoft Reading Progress and Microsoft Immersive Reader, to help teachers reach its global and educationally diverse students with personalized learning experiences.
868. Základní škola Aš Hlávkova adopted Microsoft 365 Copilot and saw a 60% improvement in handling administrative documents. Lesson preparation time decreased from hours to just a few minutes, inclusivity increased, and communication with students and parents was enhanced.

Energy and resources

869. ITER used Azure OpenAI Services to develop a chatbot to improve staff searches in a database of more than 1 million documents. Using GitHub Copilot, software development became accessible, enabling sophisticated simulations to improve safety and operations. ITER worked with Microsoft partner Witivio to make the link between the knowledge platform and Microsoft 365 Copilot through agentic features. They linked to their knowledge platform to translate hundreds of acronyms to improve efficiency as they built a nuclear plant.
870. New Sun Road integrated AI into a local controller for energy systems to balance supply, storage, and usage requirements. This optimization accelerated the deployment of renewable energy, providing clean power to local communities.
871. PETRONAS is leveraging AI to address the energy trilemma by enhancing energy security, optimizing operations, and accelerating the transition to cleaner energy.
872. SustainCERT implemented generative AI and machine learning to automate data verification, extract information from documents, and accelerate auditing processes. This enables the verification of the impacts and credibility of carbon credits.
873. Utilidata developed the first distributed AI and accelerated computing platform for the electric grid, enabling flexible transformation and dynamic infrastructure to enhance electrification and decarbonization.
874. B3 launched an AI assistant using Azure OpenAI Service that aids 10,000 users a day to answer Brazilians’ questions about how to start investing.
875. Agricultural Development Trust (ADT) of Baramati is leveraging AI to analyze water, weather, nutrient, and pH data to enhance crop yields in India.
876. Digi Rogaland collaborated with Bouvet to transition their solution to Microsoft Fabric, successfully exploring new features and achieving lower operational costs. The data collected from IoT sensors plays a crucial role in monitoring road conditions, planning winter maintenance, and managing traffic volumes to make roads safer.
877. GovTech used Microsoft Azure OpenAI service to create LaunchPad, sparking more than 400 ideas and 20 prototypes, laying the foundation for the government to harness the power of generative AI.
878. Hamyang County uses AI and digital technologies to create a safer and more efficient working environment for farmers, along with more advanced data analysis. As more farmers learn AI-enabled skills, productivity and sustainability will improve. Microsoft Copilot helps farmers collect and manage farming logs in a more organized way, enabling data-driven decision-making.
879. Pacific Northwest National Laboratory (PNNL) is testing a new battery material discovered in weeks rather than years, thanks to a collaboration with Microsoft.

Healthcare

880. 5C used Azure OpenAI and Azure AI Vision to enhance diagnostic efficiency with AI-powered radiology reports, transforming healthcare delivery for more than 2,000 hospitals globally.
881. Amgen is using Microsoft 365 Copilot to enhance productivity, accelerate drug development, and advance their business processes.
882. Artificial developed a prototype bot using Azure, Azure OpenAI service, and Azure AI Search to guide customers through coding in a specific Python dialect tailored to their application domains. By leveraging the Artificial platform and tools, customers can accelerate drug discovery.
883. Canary Speech can now train new vocal models in just two months and manage millions of transactions per month using Microsoft Azure.
884. DrumBeat.AI leverages Microsoft AI services to predict, identify, and address ear diseases in rural and remote communities, aiming to prevent hearing loss among Indigenous populations in Australia.
885. Dynamic Health Systems developed the VitruCare365® platform using Microsoft Cloud for healthcare technologies to support motivational care planning. The platform, built on Microsoft Azure, FHIR (Fast Healthcare Interoperability Resources), and Dynamics 365, offers personalized apps powered by Azure OpenAI Service for each patient. It integrates seamlessly with the Microsoft 365 tools that clinicians use daily.
886. eSanjeevani leveraged Azure OpenAI service to deliver quality healthcare to the masses, especially the poor and underserved, significantly transforming India’s healthcare landscape.
887. GigXR created an intelligent solution for AI patients using Microsoft Azure OpenAI Service and other Azure services.
888. Helfie is developing a solution for healthcare providers, enabling them to equip their patients with an application that facilitates quicker and more accurate access to the care they need.
889. Innominds used Azure OpenAI Service to create the AMRx® platform, an AI and machine learning-based urinary tract infection (UTI) diagnostic tool that provides accurate results in five minutes, reducing costs.
890. Kheiron Medical Technologies, NHS Grampian, the University of Aberdeen use an AI breast screening solution called Mia, along with Azure Cloud Services, to help doctors achieve a 12% increase in breast cancer detection and reduce their workload by up to 30%.
891. Laerdal Medical used Azure AI to improve their 3D virtual training simulator, offering an immersive experience that mimics real-life interactions between patients and providers. With Azure AI, Laerdal significantly reduced the time required to create voices for virtual patients and providers, cutting it down from two months to less than 24 hours.
892. Mass General Brigham/ University of Wisconsin, Madison, are utilizing advanced, high-performing multimodal AI foundation models. These models empower the entire radiology ecosystem, built on the secure Azure AI platform, and extend the Nuance suite of radiology applications. This integration delivers high-value medical imaging copilot applications that help reduce workloads, enhance workflow efficiencies, and improve the accuracy and consistency of medical image analysis for care delivery, clinical trials recruitment, and drug discovery.
893. Ontada leveraged Azure AI and Azure OpenAI Service to identify nearly 100 critical oncology data elements across 39 cancer types. This has enabled access to an estimated 70% of previously unanalyzed or unused information, significantly accelerating life science product development and reducing time to market from months to just one week.
894. Pangaea Data leveraged Azure OpenAI to develop a scalable platform that identifies hard-to-diagnose conditions, discovers missed patients, and connects with them.
895. Plan Heal is using Microsoft AI to develop solutions that empower patients to monitor and report their health metrics, enabling care providers to deliver better services.
896. RadarFit leverages generative AI and an innovative gamification strategy to promote healthy habits in Brazil. Their comprehensive health and wellness program is designed to help companies reduce chronic disease rates.
897. Stanford Medicine created a healthcare agent orchestrator solution using Azure AI Foundry to deploy AI agents that support the tumor board. These agents compile comprehensive reports from various information sources, including specific clinical notes, enabling physicians to work more efficiently and make better decisions. This information can also be shared with community hospitals.
898. Sugar Fit leveraged Azure OpenAI to support individuals with diabetes by providing AI-powered, clinically verified fitness plans, meals, and advice. This approach helps dispel myths and offers accurate, personalized health solutions.

Hospitality

899. Skylark Group used Azure OpenAI to develop AI Robo, an innovative chatbot that engages with restaurant customers, suggests meals through digital menus, and automatically summarizes these interactions in daily reports to improve customer service.

Legal services

900. IWill Therapy and IWill CARE developed a Hindi-speaking chatbot named IWill GITA using the advanced products and services available in the unified Azure AI Studio platform. This includes the latest large language models in Azure OpenAI Services and integrated Azure AI Content Safety filters. IWill’s scalable, AI-powered bot now offers cognitive behavioral therapy, providing mental health access and therapist-like conversations to people across India.

Manufacturer

901. AVL is using AVL DevOps Pilot™ that leverages Microsoft Azure Cloud and AI to automate system test pipelines, speeding up software development for software-defined vehicles. This enables efficient data management from virtual testing to real-world application, transforming vehicle development.
902. BMW AG utilized Azure AI to create a mobile data recorder copilot, significantly speeding up data management. This innovation helps engineers reduce the lead time for insights from days to mere hours or even minutes.
903. Brembo used Azure OpenAI service to create ALCHEMIX, a solution that generates innovative compounds for its brake pads. This significantly reduces the development time of new compounds from days to just minutes.
904. DOW is leveraging Microsoft Azure AI and machine learning to accelerate the discovery process for developing new products. What used to take months of exploratory laboratory work now takes seconds, significantly speeding up time to value for both Dow and its customers.
905. Hitachi will use Azure OpenAI Service, Microsoft 365 Copilot, and GitHub Copilot to develop innovative solutions for the energy, mobility, and other industries.
906. KUKA developed the iiQWorks.Copilot using Microsoft Azure OpenAI in Foundry Models and Azure AI Search. This tool uses natural language to generate code and simulate robot workflows, making programming up to 80% faster for simple tasks. This innovation expands access to robotics tools and automation, enhancing flexibility. Consequently, industrial robots can be deployed more quickly and safely across various teams and environments.
907. Mitsubishi Heavy Industries is leveraging Azure OpenAI Service to accelerate digital innovation in power plants.
908. Schneider Electric provides productivity—enhancing and energy efficiency solutions and is using a whole suite of AI tools to hasten its own innovation and that of its customers.
909. Sony Semiconductor Solutions migrated its development environment to Azure and used Azure AI Studio to build a system that can analyze visual scenes with high efficiency.
910. Suzuki Motor Corporation is adopting Azure OpenAI Service to enhance data security and drive company-wide adoption with five versatile applications.

Media and entertainment

911. Avex Group collaborated with NAKED to develop the HUMANOID DJ using Azure OpenAI Service. This innovative DJ analyzes audience emotions and connects to equipment, data, and networks to transform itself and the spatial aspects, creating music that can only be experienced in that specific place and time.
912. Beatoven has developed a platform using Azure OpenAI Service to assist audiovisual storytellers in creating original, royalty-free background music for their content.
913. Blinkit leveraged generative AI to create thousands of recipes enriched with data and media. This enhanced their catalogue and allowed them to serve personalized recipes based on user preferences, actions, and dietary needs. These recipes were generated for a curated list of products using Azure OpenAI Service.
914. Dashoon utilized generative AI to develop a platform that enables storytellers to effortlessly and quickly create engaging content, producing 50,000 images daily.
915. D-ID migrated its solution to Azure, leveraging a suite of Microsoft tools, including Azure AI Service, to ensure security and scalability for its digital avatars. This migration has accelerated development, expanded global reach, expedited growth by 100 times, and empowered more people to engage and express themselves using digital human avatars.
916. Frammer AI utilized Azure OpenAI Service to offer advanced AI models that enhance content creation, delivering high-quality short videos at scale. This results in higher engagement levels and increased revenue for content creators.
917. HyperCinema has developed its HyperEngine on Azure AI infrastructure, utilizing the latest GPT-series models on Azure OpenAI Service. This enables the production of high-quality, creative content with minimal errors, allowing guests to conduct mini photo shoots. The company processes 50,000 images and 6,000 30-45-second videos daily through its HyperEngine, delivering automated and hyper-personalized in-person storytelling experiences in real-time.
918. Iconem leveraged AI-generated imagery to process and analyze a large amount of photogrammetry data used to create the 3D digital twin of St. Peter’s Basilica. This allows visitors to explore every intricate detail from anywhere in the world.
919. LALIGA deployed Mediacoach to collect and analyze data during matches using fixed cameras around the stadium perimeter. The data is analyzed with the help of Azure AI and Machine Learning processing capabilities. This enhances storytelling within and around each match. By making each 90-minute match a 360-degree fan experience, the league is revolutionizing fan engagement and changing how soccer fans access and consume the sport.
920. Pixel Lab used Microsoft Azure AI Foundry and Microsoft 365 Copilot to create a global interactive fan experience for Coldplay’s ‘A Film For The Future’ project. The solution inspired significant fan engagement and paved the way for new kinds of interactive digital storytelling.
921. Terra Mater Studios used Azure AI Foundry and other Azure solutions to build a secure multimodal conversational agent that understands, retrieves, and responds to real-time mission data from ESA’s Hera space probes—live from space.
922. Unity used Microsoft Azure OpenAI Service to build Muse Chat, an AI assistant that guides creators through common questions and helps troubleshoot issues, making game development easier.
923. USA Surfing developed a solution using advanced vision action recognition, action detection, containerization, and graph-based multimodal Azure AI and Azure Machine Learning architecture. Using the Motion Insights framework, users upload a surfing video to a simple web interface. The Azure-hosted backend then utilizes the new Archon platform to produce AI-generated insights and analysis to improve performance and reduce injuries.
924. Wedel Software offers an AI audio advertising solution, Adthos Platform, which features more than 40 AI voices, including Azure AI’s Neural Text to Speech offering, and direct publishing capabilities. The company also uses Azure AI’s Custom Neural Voice to add new talent to the list of AI voice options, helping brands quickly deliver and scale audio ads to market.

Nonprofit

925. Age UK developed an AI-powered tool using Azure AI services text-to-speech capability to scale up its human-to-human Telephone Friendship Service. The tool’s transcription app has assessed 23,000 calls and saved staff 9,500 hours. With the time saved, employees can focus on serving existing matches and bringing in more older people who need a friend.
926. Amref Health Africa is developing an AI-powered tool using Azure AI to predict malnutrition across Kenya. The solution will provide location-specific forecasts to inform the nonprofit, partnering organizations, and governmental bodies.
927. Argus developed a device that clips onto eyeglasses and uses Azure AI Speech and Azure OpenAI to help people with low vision navigate the world around them.
928. Association to Prevent Blindness (APEC) leverages Microsoft Azure and deep neural network algorithms to develop an app that enables healthcare providers to capture retinal images, increasing the accuracy of identifying Retinopathy of Prematurity (RoP) to 90%.
929. CARE partnered with Valorem to develop a sentiment analysis solution using Azure OpenAI Service. This tool enhances CARE’s understanding of emergency preparedness in high-risk countries by evaluating staff survey responses at scale. Leadership can now use the insights provided by the tool to make informed decisions and prepare for any crisis.
930. Esri’s ArcGIS geospatial platform enables cities to create environmental digital twins that simulate heavy rainfall and apply hot spot analysis to highlight flooding. Integrating Azure AI with the geospatial digital twin will uncover insights from vast amounts of data.
931. FIDO Tech is leveraging Azure OpenAI Service to develop an AI tool that uses sound to pinpoint leaky pipes, thereby saving precious drinking water.
932. HairMatch leveraged OpenAI GPT-4 on Azure AI Foundry to develop an app that scans your hair and analyzes its type and porosity. The app then makes product recommendations and offers step-by-step hairstyle guides and expert advice.
933. HeritageWatch.ai leverages AI to detect changes to heritage sites globally, caused by disasters such as floods or earthquakes.
934. National Football League Players Association collaborated with Xoriant to develop a comprehensive solution using Azure OpenAI Services. This solution analyzes footage from 32 teams to ensure health, safety, and prevent rule violations during the offseason. It helps staff reduce the time spent studying footage by up to 73%, freeing up time for staff and increasing player safety.
935. National Zakat Foundation developed a chatbot named Zaki using Copilot Studio to integrate into their website and answer donor questions. They also created an AI-enhanced solution with Power Platform to evaluate applications for aid and triage urgent cases. Microsoft Dynamics 365 and a unified data model streamline reporting, enable collaboration, and personalize donor outreach. NZF has reduced wait times for aid disbursement by 80%, and staff believe further automation will enable same-day application reviews and fund distribution. This responsiveness at scale helps more people and prevents their slide into poverty.
936. Pangea Data developed a scalable AI-powered product platform using Azure OpenAI Services to de-identify data sets and find patients with hard-to-diagnose conditions. This platform works at scale with healthcare and pharmaceutical industries. Collaborating with two global pharmaceutical companies and the UK’s National Health Service (NHS), they identified six times more (200,000) undiagnosed and miscoded cachectic cancer patients for therapies and trials, which led to improved outcomes for patients, halving treatment costs for the NHS (saving £1 billion) and a six-fold increase in revenue for the pharmaceutical sponsors.
937. Petbarn developed “PetAI” using Azure OpenAI Service, Azure AI Search, and Azure App Service to offer Australian pet owners highly personalized advice and product recommendations.
938. Project Gutenberg leverages Microsoft AI solutions to create audiobooks at scale, making its collection more accessible to a broader community, including people with visual impairments and those around the world who might not have access to traditional libraries.
939. Royal National Institute of Blind People is using Azure AI services to develop an AI-based solution that quickly and accurately converts letters to braille, audio, and large print formats.
940. Royal National Institute of Blind People is using Azure AI services to develop an AI-based solution that quickly and accurately converts letters to braille, audio, and large print formats.
941. Signvrse developed an application for mobile and desktop that translates spoken or written words into Kenyan Sign Language using 3D avatar technology and Azure AI Speech to power a virtual sign language interpreter.
942. Spring ACT developed Chatbot Sophia, leveraging Azure AI’s text-to-speech capabilities, to provide a multilingual AI-powered tool supporting victim-survivors of domestic abuse.
943. SURA Omics Science Center leveraged Azure AI and the Microsoft Cloud to process patient-specific data and provide actionable insights to specialists. These insights can be related to patients’ medical records, helping specialists make informed decisions for treatment. This approach benefits individual patient health and supports the analysis of entire populations, advancing scientific research and informing public health decisions.
944. Wadhwani Foundation leveraged Azure OpenAI to create job opportunities for millions. By empowering more than 6 million lives annually with AI-powered skills and resources, they also fuel more than 5,000 startups and support more than 150,000 student entrepreneurs.

Pharmaceutical

945. Bayer is using Microsoft Copilot to help feed a growing global population and support healthier, disease-free lives.
946. Bayer developed an agent using Copilot that allows their crop science researchers and scientists to search the tool using natural language. What previously took days to find now saves R&D teams 3 to 6 hours per researcher per week.
947. Novartis leverages Microsoft Copilot as part of their comprehensive approach to streamline the reporting process, organize data, track timelines and key actions, and generate updates. This allows them to focus on higher-value activities, such as analyzing results and strategizing future studies. With 40,000 employees using Copilot, a recent survey of 3,400 users revealed that 90% of respondents reported increases in productivity, 87% reported faster task completion, 76% produced more creative solutions, and 81% observed improvements in work quality. 
948. Novo Nordisk recently published initial results using predictive AI models for advanced risk detection in cardiovascular diseases. This includes an algorithm that predicts patients’ cardiovascular risk more accurately than the best clinical standards.

Professional services

949. Agnostic Intelligence leveraged Azure OpenAI Service to eliminate time-consuming tasks, saving users up to 80% of their time. This allows IT managers to focus on innovation and quality assurance.
950. Avanade developed the Avanade Intelligent Garden app with the help of garden designer Tom Massey and architect Je Ahn, using the Azure cloud platform and AI. This app allows users to have one-on-one conversations with trees, learning about their specific care needs and how they are faring. Trees will even alert their custodians if they anticipate issues like over- or under-watering. Rather than relying on automated irrigation systems or robotic gardeners, trees are empowered to provide insights that enable human custodians to make sustainable, resource-efficient decisions.
951. Be My Eyes leveraged AI to develop Be My AI, a tool that assists blind and low-vision individuals in independently navigating their digital world by providing AI-powered descriptions of on-screen content. It also includes an interactive chatbot, allowing users to ask follow-up questions about descriptions for a more dynamic and personalized experience.
952. BluSmart leveraged GitHub Copilot to revolutionize their software development workflow, offering coding assistance and rapid development. This resulted in a 20 to 30% increase in developer efficiency.
953. Botminds.ai leveraged Azure OpenAI Service to revolutionize the processing of unstructured content embedded in documents and PDFs. This streamlined process led to a 90% reduction in the time required to observe functional solutions.
954. CapitaLand Investment streamlined internal processes, increasing efficiency and saving more than 10,000 man-days per year. They also deployed Azure OpenAI to develop the first AI hospitality chatbot for their lodging business.
955. Cassidy is using Azure OpenAI to enhance efficiency across various industries, supporting more than 10,000 companies.
956. CIPIO.ai leverages Azure OpenAI to help companies connect with their communities of customers, fans, followers, and beyond to drive authentic user-generated content (UGC). CIPIO.ai’s UGC Solution empowers brands to discover content and content creators, authentically engage with their communities, activate and collaborate with the community, execute new content, pay content creators, and analyze the impact of its brand community at scale. Customer feedback shows CIPIO.ai-powered UGC outperforms other branded content, supporting authentic content for brands to use in their paid advertising campaigns, social media marketing, and at every stage of a buyer’s journey.
957. EkStep’s Jan Ki Baat leverages AI-powered voice bots to facilitate natural conversations between individuals and organizations, empowering decision-makers with actionable, data-driven insights.
958. EY developed an application using AI Builder that automatically matches and clears incoming payments in SAP. This resulted in an increase from 30% to 80% in automatically cleared payments and 95% matched payments, with estimated annual time savings of 230,000 hours globally.
959. EY collaborated with Microsoft to enhance Azure AI Foundry’s inclusivity, serving the 20% of the global workforce who identify as neurodivergent.
960. EY Consulting is using Geospatial Gen AI and Azure AI to enhance geospatial capabilities across various industries. With their expertise in geospatial data analytics, EY Consulting has successfully integrated these insights into business operations, redefining the geospatial landscape.
961. Foyer used Azure OpenAI Service to deploy the GPT-3.5 and GPT-4 models, resulting in improved reliability in service and incident reporting, and reducing rare outages.
962. Gojob developed Aglae, a virtual assistant that pre-qualifies candidates in under 15 minutes, helping recruiters achieve record-high employment placement rates.
963. GoTo Group is improving productivity and code quality across its engineering teams by using GitHub Copilot. This adoption has saved more than seven hours per week and achieved a 30% code acceptance rate.
964. H&R Block is using Azure AI Studio and Azure OpenAI to build a new solution that provides real-time, reliable tax filing assistance.
965. Icertis is offering AI tools that recognize contract language and build algorithms to automatically select the appropriate approach based on the contract content.
966. ICG integrated Microsoft Copilot into their construction simulation process to analyze crane cycle times against demand rates from various manufacturing stations. Copilot provided valuable insights, even for seasoned engineers. It also assisted in market research, identifying the optimal market niche, calculating the serviceable obtainable market, setting cascading goals for the team, and mapping out the buyer’s journey. With this support, ICG shifted from an hourly consulting model to value-based pricing, increasing gross margins by 20%.
967. Inflection AI developed Pi, a chatbot that works with large language models, to help people organize their days and offer advice tailored to their knowledge and interests on a growing range of topics. To accelerate development time, reduce downtime, and better position themselves as a leader in empathetic personal intelligence, they used Azure AI technologies to ensure the reliability and stability they needed.
968. ITOCHU is using Azure OpenAI Service, Azure AI Studio, and Microsoft Fabric to evolve its data analytics dashboard into a service that provides immediate recommendations by automatically creating evidence-based product proposals.
969. ManageArtworks utilized Azure OpenAI Service to eliminate bottlenecks in categorizing and validating packaging and labeling content. This resulted in an 80% reduction in the time required to check compliance of packaging labels.
970. Neuroblast offers accessible, mobile post-rehabilitation for neurodegenerative diseases using interactive devices developed with Microsoft Azure, Azure IoT Hub, and Azure OpenAI Service. Microsoft 365 Copilot also helps them draft presentations and documentation for various institutions, programs, and conferences with ease.
971. OnFinance AI developed NeoGPT using Azure OpenAI Service to manage large volumes of meticulously cleaned data. They were able to run fine-tuning jobs 10 times faster with geo-redundancy and applied reinforcement learning (RLHF) efficiently to ensure 85% guardrail compliance.
972. Parity is helping women athletes use data and AI to improve their well-being, performance, and careers.
973. Properstar developed a solution to simplify the analysis of unstructured real estate data and create a dynamic, AI-powered filtering system that provides more nuanced search results.
974. Relativity developed Relativity aiR for Review on top of Azure OpenAI Services to deliver a streamlined experience directly into RelativityOne. The solution helps attorneys organize their data and accelerate their early case knowledge and first-pass review processes. It also underpins all aspects of e-discovery, including intensive tasks like investigations, contract reviews, data breach responses, and many other legally—and ethically—impactful use cases.
975. Sarvam AI uses Azure OpenAI and GitHub Copilot to innovate across the full stack of generative AI, including GPT-4 models on Azure OpenAI. This enables them to provide grounded comparisons between different design choices in a generative AI application.
976. Simpson Associates developed the TOEX Data Platform and TOEX Capabilities Environment using Azure and Azure OpenAI. These platforms provide intelligence and analytical expertise to support UK forces in investigating organized exploitation, including modern slavery, human trafficking, sexual exploitation, and abuse.
977. Space Intelligence uses geospatial data analysis and machine learning through Microsoft Planetary Computer Pro to support zero deforestation and mass restoration. Using Azure AI and Machine Learning, they can provide customers with audit-grade data on forest coverage and carbon storage for nature-based projects.
978. SymphonyAI uses Azure OpenAI to accelerate product development with advanced AI capabilities across its portfolio to combat financial crime. Combined with Sensa Copilot, investigations can be completed 60-70% faster, with 70% less effort on the part of the human investigator.
979. Theodora uses Azure OpenAI and other Microsoft technologies to process massive datasets to train its AI models to detect unconscious bias across industries, helping companies communicate more fairly and effectively.
980. Veritone used proprietary and third-party AI engines, including Custom Neural Voice (CNV) from Azure AI services, to support its platform aiWARE™ in creating human-like AI voices with audio-based training data. Veritone is working with The Bert Show and iHeartMedia podcasts to use talent-approved synthetic voices to save time and scale their audio content to new audiences.
981. Visma has developed new code with GitHub Copilot, Microsoft Azure DevOps, and Microsoft Visual Studio up to 50% faster, contributing to increased customer retention, faster time to market, and increased revenue.
982. Vitra.ai leveraged Azure AI services along with their custom natural language processing (NLP) models to tackle the challenges of speech recognition and translation. This solution helped them boost their customer satisfaction (CSAT) score by 23%, enhance punctuation accuracy by 30%, and achieve immediate cost savings by reducing overall expenses by 22%.
983. Wipro is committed to accelerating customer value and enhancing business outcomes by investing $1 billion in AI and training 200,000 employees on generative AI principles with Microsoft Copilot.
984. Wrtn Technologies brings ATI closer to people with a ‘superapp’ that compiles various AI use cases and services, localized for Korean users to integrate AI into their daily lives.
985. Albert Heijn is using Azure OpenAI Service for various applications, including customer personalization, demand forecasting, and food waste projects, making it easier for customers to adopt a healthier lifestyle.
986. ASOS leverages Azure AI Studio to assist customers in discovering new looks through genuine shopping insights, personalized conversations, naturalism, and even humor to enhance the shopping journey
987. Beiersdorf leverages Azure AI services, enabling its researchers to use features like document summarization, semantic search, document tagging, and optical character recognition to quickly extract key information. This allows them to spend less time searching and more time on industry-leading product development.
988. Coca-Cola leveraging Azure OpenAI Service to develop innovative generative AI use cases across various business functions, including testing how Microsoft 365 Copilot could enhance workplace productivity.
989. Mondra used Azure OpenAI Service to develop Sherpa, a chatbot designed to help retailers calculate the CO₂ emissions produced in the making of their private-label and branded products, down to the ingredient level. By making data-driven decisions on how to reduce carbon emissions, it will significantly improve the retail food industry’s ability to meet its net zero targets.
990. Pets at Home developed an AI agent to assist its retail fraud detection team in investigating suspicious transactions. 
991. SPAR ICS developed an award-winning, AI-powered demand forecasting system that achieves 90% inventory prediction accuracy.
992. Unilever is partnering with Microsoft to identify new digital capabilities to drive product innovation, from unlocking the secrets of our skin’s microbiome to reducing the carbon footprint of a multibillion-dollar business.
993. Telefónica España incorporated Azure AI and machine learning to harness big data and automation for network optimization. This improved network performance and customer experience, achieving substantial savings in operating costs and enhancing operational efficiency.
994. Air India integrated Microsoft 365 Copilot into multiple departments, unlocking a new realm of operational insights. This integration provides critical data on flight punctuality and operational hurdles, while also empowering proactive, collaborative decision-making.
995. Denso is developing ‘human-like’ robots using Azure OpenAI Service as the brain to facilitate collaboration between robots and humans through dialogue.
996. Lufthansa Group developed an animated 3D avatar called Digital Hangar to guide passengers from initial travel inspiration to flight booking through natural language exchanges with the avatar.
997. Mia Labs Mia Labs utilized Azure OpenAI Service to develop and secure its conversational AI virtual assistant, Mia. This assistant offers rapid support to investors while ensuring a robust security posture and advanced threat protection for AI workloads.
998. Molslinjen developed an AI analytics toolbox that has reduced fuel emissions, improved customer satisfaction, and generated millions in additional revenue.
999. TomTom leverages Azure OpenAI Service, Azure Cosmos DB, and Azure Kubernetes Service to transform the driver experience.
1000. Toyota is deploying AI agents to harness the collective wisdom of engineers and accelerate innovation in a system named ‘O-Beya,’ or ‘big room’ in Japanese. The ‘O-Beya’ system currently includes nine AI agents, ranging from a Vibration Agent to a Fuel Consumption Agent.
1001. Wallenius Wilhelmsen is implementing Microsoft 365 Copilot and Microsoft Viva to drive sustainable adoption, streamline processes, empower better decision-making, and cultivate a culture of innovation and inclusion.

Telecommunications

1002. Yotta Data Services will utilize Azure AI services for Shakti Cloud, Yotta’s AI cloud platform to offer cutting-edge AI capabilities to developers, startups, enterprises, and public sector organizations across India.  

Learn more

• Get the study: Business Opportunity of AI
• Explore Microsoft AI solutions
• Assess your AI readiness: AI Readiness Wizard
• Build a strategic plan for AI: AI Strategy Roadmap

¹ IDC, 2025 CEO Signature Report: Transforming Business for an AI World, doc #US53393625, June 2025

² IDC Press Release, “IDC Predicts AI Solutions & Services will Generate Global Impact of $22.3 Trillion by 2030,” April 2025

The post AI-powered success—with more than 1,000 stories of customer transformation and innovation appeared first on The Microsoft Cloud Blog.

Over the past year, Microsoft engineers have road-tested that combination with executives, technicians, customer support representatives, and developers. Regardless of geography or market, operators voiced three universal priorities: break down operational silos, unlock data’s latent value, increase efficiency, and accelerate innovation without eroding trust. At TM Forum DTW Ignite 2025 in Copenhagen, Microsoft is demonstrating how the complementary relationship between ODA and agentic AI converts those ambitions into measurable business outcomes. 

Microsoft’s next chapter with the Open Digital Architecture 

Microsoft has been a hands-on contributor to TM Forum initiatives for well over two decades, coauthoring Open APIs, chairing working groups, and donating production hardened code that turns standards into deployable solutions. The ODA has become a focal point of that collaboration. By aligning Microsoft Azure cloud-native foundations with ODA’s composable blueprint, Microsoft helps operators assemble best-of-breed solutions without the drag of proprietary silos. 

Engineering teams from Microsoft work with communications service providers (CSPs) and industry suppliers to validate specifications, publish reference implementations, and channel field experience back into the standard. The result for operators is faster interoperability, reduced integration cost, and quicker time-to-value for new digital services. 

Yet a common obstacle remains: fragmented observability. Every vendor captures telemetry differently, leaving operations teams to deploy ad hoc log aggregators and parsers that inflate costs and slow incident response. Microsoft’s latest ODA contribution addresses this head-on. 

• ODA Observability Operator (open source on GitHub)
  The operator prescribes a common logging contract, integrates with Azure Monitor, and exposes health data through TM Forum nonfunctional APIs. In early trials, carriers shrank the meantime to detect billing anomalies significantly, freeing teams to focus on proactive optimization rather than forensic log diving.
• ODA Landing Zone for Azure
  Guidance and a best practice guide on infrastructure-as-code templates that hydrate into an ODA compliant environment—policy, security, and monitoring.

The “Growing B2B with autonomous agents” catalyst project, involving players like Microsoft, Vodafone, and various industry partners, leverages the ODA Accelerator to transform B2B sales for mid-tier enterprise customers by enabling flexible quoting and commerce through generative AI. It enables flexible quoting and commerce, allowing customers to find relevant products using semantic search and create customized solutions that meet their specific business requirements, budgets, and timelines. 

These assets illustrate a simple truth: standards only matter when they migrate from documentation into running code. By operationalizing TM Forum guidance, Microsoft accelerates engineering productivity, slashes integration costs, and strengthens the capabilities of telecoms, as well as providing a feedback loop for continual improvement. 

Empowering network monetization through network APIs 

Through our engagement with CAMARA and GSMA Open Gateway, Microsoft has played a pivotal role in helping operators monetize their networks via a robust partner ecosystem. This ecosystem supports the provisioning, aggregation, and routing of network API requests, enabling seamless integration and enhanced functionality. Our collaboration with industry leaders such as Aduna, Infobip, and Vonage brings aggregated network APIs directly to the Azure Marketplace. This integration grants Microsoft’s global community of developers and enterprises effortless access to essential network functions, including SIM swap detection, phone number verification, real-time device location, and on-demand quality-of-service controls. Standardized through the CAMARA open-source project—co-led by GSMA and the Linux Foundation—these APIs are designed for seamless integration, ensuring that operators can efficiently use network capabilities to drive innovation and growth. 

Giving the network a trusted Copilot 

Anyone who has joined a major incident conference bridge understands the sense of urgency—and the expense. Multiple teams chase clues, minutes feel like hours, and every second of downtime erodes customer experience and brand equity. Network Operations Agents built with Azure AI Foundry offer another path to successful resolutions. As Cristina Moura Rebelo, Head of AI Community and Ecosystem Engagement at MEO, describes it: 

“MEO is transforming into an AI-powered techco, infusing AI into key domain areas and leveraging innovation and technology to create a competitive advantage, business growth, and operational excellency. The first steps made with Azure AI Foundry were key in unlocking the potential of use cases to streamline operations with ChatGOC and the HekaBot, in a scalable, iterative, and agile way, within a very short period of time, delivering outcomes and scaled efficiency to the teams. This is our path to becoming an AI-powered techco.”   

—Cristina Moura Rebelo, Head of AI Community and Ecosystem Engagement, MEO

These AI companions ingest real-time telemetry, topology graphs, historical tickets, and vendor manuals; reason over anomalies; then recommend—or even execute—remediation steps under strict guardrails. Every action is logged, policy checked, and auditable so that safety and compliance are part of the operational flow.

“At a time when pressure to grow has never been greater, data and AI are illuminating the path forward, helping telcos simultaneously achieve three critical goals of growth, efficiency, and security.”

—Praveen Shankar, Executive Vice President I Capgemini 

At TM Forum DTW Ignite 2025, Microsoft will be presenting on how we are transforming telecom operations with agentic AI, and unveiling the Network Operations Agent Framework, a reference architecture and working pilot environment that operators can explore hands-on. The package includes infrastructure-as-code templates, sample knowledgebase content, and step-by-step guidance for integrating Azure AI Foundry with existing telemetry pipelines. With these assets, communications service providers can progress from proof of concept to production in a matter of weeks—and do so with the assurance that every remediation action remains within corporate risk tolerance. 

Unifying data with the Telco Analytics POC Accelerator 

Data is the fuel for agentic AI, yet it often sits stranded across disparate clusters, data marts, and line-of-business applications. The Telco Analytics POC Accelerator removes that friction, deploying a domain specific data estate on Microsoft Fabric complete with service assurance, revenue management, and subscriber 360 schemas; lineage policies aligned to data mesh principles; and guidance to connect your backend data sources. 

Beyond core ingestion pipelines, the accelerator provides predefined tables for service assurance, revenue management, and subscriber 360, alongside sample queries and dashboards that surface quick wins. Built-in sample data allows developers to prototype AI workloads safely—accelerating experimentation while protecting customer privacy.

When operators gain control of their data estate, they monetize faster, govern better, and feed AI models richer context. Microsoft provides the launch pad.

“Fabric let us build on the familiarity, security, and scalability of Azure. It unites data flows, storage, analytics, and machine learning in a single experience.”

—Jerod Ridge, Director of Data Engineering, Lumen

This unified approach empowers operators to achieve real-time insights and smarter decisions, driving business growth and innovation.

Reimagining business support systems for an agentic world 

Business support systems (BSS) are the commercial nerve center of a telco, yet many still feel like 1990s ERP software: dense menus, arcane codes, and labor-intensive workflows. Microsoft’s agentic BSS proof of concept charts a different course. 

At its heart is Microsoft Copilot Studio, which leverages TM Forum Open APIs, the Model Context Protocol, and secure tool registration to let AI agents act on behalf of customer care reps. Consider an agent who says, “Upgrade Alessia’s plan to unlimited data and add a family hotspot.” The AI agent validates entitlements, calculates prorated charges, and triggers fulfilment—no swivel chair required. Subscribers upgrade in the time it takes to sip coffee.

Microsoft is equally optimistic about the potential of an Order Fallout Agent. Up to 3% of orders stall in fragmented fulfilment chains. The agent monitors the queue, diagnoses failure patterns, and either self heals or curates a guided fix. In short, the Order Fallout Agent turns a perennial pain point into an autonomous, closed loop process—freeing care agents to focus on higher value conversations and giving customers the seamless experience they expect.

KPN has extended the use of AI companions to their sales operations with Microsoft 365 Copilot. KPN used Microsoft 365 Copilot to enhance their sales operations, streamlining processes, improving customer engagement, and driving business outcomes.

“From the moment a customer contact becomes an opportunity, we link to that information in Microsoft 365 Copilot for Sales, so we can see all relevant data to prepare for a conversation with the customer,”

—Pierrette de Leeuw-Koumans, Lead Generation Team, KPN

Copilot provides real-time data analysis, predictive insights, and automated workflows, enabling the sales team to focus on strategic activities and deliver personalized experiences. 

These demonstrations illustrate how BSS complexity can melt away, replaced by conversational experiences powered by open APIs and trustworthy automation. The journey is incremental—operators can start with a single fallout queue or upgrade flow and expand outward. 

Momentum stretching from lab to live network 

Innovation without adoption is theatre. Microsoft’s ecosystem partners are translating blueprints into operational gains: 

• Microsoft and leading BSS suppliers are exploring joint proof of concepts that integrate the Telco Analytics POC Accelerator and Observability Operator into next generation revenue assurance workflows.
• PLDT has implemented the Amdocs Customer Engagement Platform, a robust, telco-grade solution jointly engineered by Amdocs and Microsoft elevate customer experience management. “By combining the AI, generative AI, cloud, and deep telecom expertise of Amdocs and Microsoft, PLDT an end-to-end solution that will drive higher agent productivity, operational efficiency, and significantly improve customer loyalty,” said Anthony Goonetilleke, Group President of Technology and Head of Strategy at Amdocs.
• Nokia’s NetGuard Cybersecurity Dome is providing comprehensive security for 5G networks, leveraging AI and automation to detect, manage, and respond to threats in real-time.
• Accenture, Capgemini, TCS, Tech Mahindra, and other global SIs are collaborating with Microsoft on service offerings that accelerate deployment of AI-ready data estates—combining migration expertise, reference architectures, and operator specific best practices. 

The breadth of deployments demonstrates that Microsoft’s approach scales across geographies, regulatory regimes, and network generations. 

Charting the first step 

Building toward autonomous operations seldom begins with a blank slate. The most effective starting point is a business moment that already matters—whether it’s easing congestion at a busy urban cell site or clearing a stubborn order backlog. Instrument that scenario end to end, unify the supporting data, introduce a focused agent, and track the results with discipline. Momentum builds quickly when measurable wins are visible to both engineers and executives. 

Microsoft and its partners stand ready to help, whether through co-innovation blueprints, rapid pilots leveraging the ODA Accelerator for Azure, or structured engagements that blend domain expertise with change management. 

Telecommunications remains, at its core, a human endeavor: engineers who safeguard critical infrastructure, customer care teams who build loyalty, strategists who spot the next market opportunity. Agentic AI amplifies that expertise—it automates repetitive analysis, highlights hidden insights, and executes well understood actions—while judgment, creativity, and empathy stay firmly in human hands. By pairing people with autonomous assistance, operators can scale excellence without sacrificing the personalized touch that defines great service. Microsoft invites the industry to explore that partnership at TM Forum DTW Ignite 2025 and beyond. 

Join the journey 

Learn more by visiting the Microsoft Telecommunications Industry hub, where solution briefs, customer stories, and partner offers provide actionable next steps. Together, the industry can turn aspiration into action and chart the next great wave of telecom innovation. 

Microsoft for telecommunications

Accelerate telecom transformation in the era of AI

Explore more

The post Powering the future of telecom: Microsoft brings agentic AI to life at TM Forum DTW appeared first on The Microsoft Cloud Blog.

Agentic AI as the hero 

At MWC 2025, Microsoft spotlighted how agentic AI is driving real industry transformation—turning innovation into impact for telecoms. Throughout the event, telecom leaders cited agentic AI as a game-changer, exploring new revenue streams, and automating complex tasks. From hyper-personalized marketing campaigns to proactive network management, these applications are already delivering measurable business value. AI is no longer a pilot or proof of concept; it’s a proven technology, a necessity, for operators to deliver transformative customer experiences at-scale. 

Attendees witnessed demos and theater sessions that showed how AI can assist in the automation of complex tasks, anticipate network bottlenecks, and enhance customer experiences at-scale. Industry leaders consistently emphasized that building trust in AI is paramount, especially as AI becomes more important in supporting decisions previously handled by humans. Microsoft’s approach—rooted in transparency, security, responsible AI and governance—stood out. Microsoft highlighted how integrating Azure’s robust compliance features offers operators and their customers peace of mind, showing that trust and AI innovation are complementary. 

Booming booth and demo showcase 

The Microsoft booth welcomed more than 11,500 unique visitors—interested in learning how Microsoft’s AI portfolio helps drive innovation. The energy was high around our experiential demos, bringing to life real-world applications. Attendees learned how Microsoft Fabric and Azure analytics unifies data to optimize network operations, and powers immersive applications. These showcases highlighted the practical benefits of modern AI-powered technologies. 

Packed theater sessions 

The energy in Microsoft’s theater sessions was electric—overflow crowds packed the aisles to hear how telecom operators are igniting innovation and growth with AI sessions like “Korea Telecom Accelerates AI Adoption” and “AI Ignites Innovation and Growth in Telecom,” where speakers spotlighted how agile customers and partners, such as Accenture, Nokia, and Amdocs, are taking decisive leaps forward in their AI journeys. Each of these sessions echoed a consistent message: whether it’s network modernization or harnessing data, customer and partner momentum is accelerating digital transformation with real business results.

Announcements and customer success stories 

In addition to the success stories shared onstage, Microsoft unveiled news and announcements at MWC 2025 (see my LinkedIn post for details) that reinforce our commitment to accelerating telecom innovation. Microsoft introduced extended agentic AI capabilities for proactively detecting and self-healing network anomalies, demonstrating how operators can achieve near-zero downtime while reducing operational expenses. Another focus was low-code expansion across Microsoft Dynamics 365 and Microsoft Power Platform, empowering telecoms to rapidly build and deploy AI-powered workflows—everything from personalized marketing funnels to simplified customer onboarding experiences. Microsoft also introduced two AI-powered sales agents—Sales Agent and Sales Chat—within Microsoft 365 Copilot to help sales teams close deals more efficiently by automating lead management, customer engagement, and sales tasks. ​ 

Microsoft showcased deepened partnerships with industry leaders like Amdocs and Nokia, geared toward modernizing network infrastructure and elevating customer touchpoints. These collaborations highlight Microsoft’s efforts with partners to tackle the sector’s biggest challenges, such as automating network rollouts, augmenting cybersecurity with AI defenses, and simplifying data monetization. Together, these new announcements reinforce how AI—and especially agentic AI—will continue to transform telecom, enabling telecoms to deliver faster, smarter, and more secure connectivity.

Attendee excitement also came in the form of customer success stories. Telecoms spoke about how agentic AI and other Microsoft AI solutions have already begun reshaping their business: 

• Vodafone described how adopting AI-powered network maintenance cut outages and boosted satisfaction scores.
• KT provided a real-time case study on scaling AI from niche pilot projects to a core tenet of corporate strategy. 

Each story illustrated tangible business value, resonating with attendees seeking proven outcomes.

Partner ecosystem and shared success 

One of the most energizing aspects of MWC 2025 was connecting with Microsoft’s dynamic ecosystem of partners. At this year’s customer and partner reception, conversations buzzed with ideas on how to unlock greater value by combining Microsoft’s cloud and AI capabilities with solutions from trusted partners like Amdocs, Accenture, Nokia, and more. 

The partner spotlight was on innovation—from co-developed analytics dashboards that simplify 5G rollouts to integrated AI modules that accelerate service provisioning. These collaborations underscore how Microsoft’s partnerships with leading telecom Software Development Companies (SDCs) and System Integrators (SIs) are delivering tangible business outcomes. Startups were also a key part of the story. Microsoft for Startups highlighted a new wave of innovative startup SDCs that are helping telecom customers improve customer experience, data insights, and operational efficiency. 

By bringing together Microsoft’s technological depth with the domain expertise of partners, the company is addressing some of the telecom industry’s most pressing concerns—reducing operational overhead, maximizing customer lifetime value, and accelerating innovation. This spirit of community sets the tone for continued innovation.  

What is next 

The momentum behind AI adoption in telecom is accelerating. According to a recent McKinsey report, the focus on scaling AI from one-off pilots to enterprise-wide initiatives will only intensify as data volumes grow and networks become more complex. Microsoft stands ready to help telecoms navigate the next phase through delivery of telecom-specific AI innovations that drive business results: 

• Telco data model in Microsoft Fabric 
  Provides a unified data framework enabling telecoms to run advanced agentic AI workflows across service assurance, customer care, and revenue management.
• Autonomous networks and self-healing operations 
  Leveraging Azure OpenAI Service and the Microsoft generative AI and agentic AI platform, Microsoft envisions proactive, self-healing networks that detect, diagnose, and remediate issues in real time—reducing truck rolls, lowering OPEX, and raising customer satisfaction.
• Open and intelligent Radio Access Network (RAN) optimization 
  Now open source, Project Janus enables dynamic service models and real-time telemetry in Open Radio Access Network (O-RAN) environments—empowering telecoms to build intelligent, AI-optimized RAN architectures using Microsoft’s agentic AI framework to enhance performance, flexibility, and innovation.
• Hyper-personalized customer experiences 
  AI agents within Dynamics 365 Customer Insights, Microsoft 365 Copilot and Amdocs Customer Engagement Platform can unify behavioral and usage data to deliver precise, timely engagements. Telecoms can reduce churn and boost average revenue per user (ARPU) by offering the right products and solutions.
• Expanding revenue beyond connectivity 
  With the embedding of AI-powered interactions directly into customer and developer ecosystems, telecoms can open new business models—such as vertical-specific APIs and AI marketplaces that monetize network APIs, network analytics and agentic automation. 

Microsoft is deeply committed to partnering with telecom operators to co-create the future of connectivity. By aligning agentic AI capabilities with the industry’s most urgent challenges, Microsoft helps telecoms unlock new value—securely, ethically, and at scale. Through strategic collaborations with partners like Nokia, Amdocs, and leading SDCs and SIs, Microsoft delivers scalable, trusted solutions that position telecoms as pioneers in the AI-powered era. 

Until next time, Barcelona 

The transformation of the telecom industry is accelerating—driven by bold investments in AI, deepened partnerships, and a shared commitment to innovation. As the industry moves beyond MWC 2025, one thing is clear: telecom operators are poised to lead in an era defined by intelligent networks, data-driven agility, and customer-centric growth. 

With Microsoft’s agentic AI capabilities, trusted cloud infrastructure, and collaborative partner ecosystem, telecoms can unlock new efficiencies, monetize new services, and deliver seamless experiences that generate lasting business value.

Learn more about how Microsoft is powering the next wave of telecom transformation with AI and agentic automation by visiting our Microsoft for telecommunications Industry Page.

Microsoft for telecommunications

Accelerate telecom transformation in the era of AI

Explore solutions

The post Microsoft’s AI vision shines at MWC 2025 in Barcelona appeared first on The Microsoft Cloud Blog.

What are OSS and BSS?

Learn how to streamline processes and drive growth

Explore solutions

Modernizing OSS and BSS: From reactive to agentic AI

OSS and BSS have long been the operational and commercial backbone of telecoms. Generally speaking, OSS manages network operations—provisioning, inventory, and fault detection—while BSS handles transactional functions like billing and customer management. Traditionally, these environments have remained fragmented, hindering a unified view spanning the customer, the network, and the business.

Thanks to advances in data management, AI and generative AI, these systems can now move beyond reactive troubleshooting to automated, predictive, and—even more significantly—agentic solutions, in which AI autonomously orchestrates tasks end-to-end. Whether it’s proactively responding to service degradations or autonomously managing resolving customer issues, agentic AI promises unprecedented cost mitigation, efficiency, and agility. 

However, effectively harnessing the proactive benefits of agentic AI requires telecom providers to establish a unified source of data truth through seamless data accessibility, rather than trying to consolidate all data onto a single platform. By enabling unified access to network, operational, and business data through a singular data catalog—such as Microsoft Fabric, which utilizes shortcuts and mirroring—telecoms ensure AI-powered insights are accurate and comprehensive. Without cohesive access to high-quality data, AI-powered insights risk becoming fragmented or misleading, limiting the transformative potential of autonomous decision-making and potentially leading to inaccurate, risky decisions. 

The critical importance of data accessibility and cohesion is exemplified by AT&T’s migration to Azure Databricks, highlighting tangible benefits: 

1. Unified data access and operational visibility: Instead of traditional consolidation, unified data access through platforms like Microsoft Fabric provides comprehensive context, enabling AI algorithms to generate precise, actionable insights. AT&T’s migration to Azure Databricks illustrates how improving accessibility to quality data across silos empowers technical staff, enhances analytical capabilities, and improves decision-making accuracy—dramatically reducing the risk of overlooking critical dependencies or making suboptimal decisions.
2. It enables closed-loop intelligence: Agentic AI extends beyond merely analyzing data; it proactively acts in near real-time. A cohesive data access approach, like the one implemented by AT&T, facilitates rapid anomaly detection and automated corrective actions within network and revenue systems. This closed-loop intelligence is crucial for next-generation AIOps, enabling seamless and automated responses across the entire telecom infrastructure. 
3. It accelerates new revenue opportunities: Providing cohesive access to operational and business data creates agile, scalable monetization pathways. AT&T’s adoption of Azure Databricks accelerated its ability to launch new services by automating complex data processing and analytics tasks. Similarly, telecoms leveraging unified data access solutions can rapidly provision and monetize services such as customized 5G and 6G experiences or on-demand network slicing—shifting from manual processes to dynamic, programmable offerings.

A modern, agentic, cloud-native OSS and BSS environment built on public cloud principles doesn’t just serve the operator; it also creates a frictionless platform for third-party and ecosystem partners to plug in. Whether it’s Internet of Things (IoT) device vendors, over-the-top content providers, or enterprise service integrators, cloud-native OSS with open APIs allows rapid partner onboarding and co-creation. In turn, operators can easily expand their portfolio with new revenue streams—bolstering the business to business to everything (B2B2X) model—while still maintaining centralized oversight and robust security at scale. 

Agentic AI in action: From insight to autonomous operations

Faster time-to-market for new services

Traditionally, launching a new offering in telecom could take upward of 50 weeks, hindered by lengthy approvals, hardware provisioning, and siloed systems. In a cloud-native environment, operators can test, iterate, and deploy new products—like on-demand network slicing or advanced IoT bundles—in days or even hours. This speed is a game changer for operators transitioning from ‘telcos’ to ‘tech-cos,’ where continuous experimentation and rapid scaling of successful pilots are essential to staying competitive. Coupled with agentic AI that autonomously manages tasks, cloud-based OSS and BSS ensures you don’t just move faster—you move smarter. Leading telecoms are already laying the groundwork for agentic AI by adopting:

• Predictive analytics for network health: For instance, AI-powered anomaly detection can preempt equipment failures, but true autonomy means the system itself orders the replacement part, dispatches a technician, and reroutes traffic in the meantime—all driven by integrated data across OSS and field service management. 
• Proactive policy and billing: In a unified data environment, usage spikes or new IoT device activations can trigger dynamic policy updates in real time—while simultaneously adjusting billing parameters. This end-to-end automation requires that the network layer (OSS) and the revenue layer (BSS) share data instantly and accurately. 

Why run OSS on the public cloud?

As service catalogs explode and customer demands evolve more rapidly, operators need elastic, scalable infrastructure to shorten time-to-market and accommodate fluctuating loads. Public cloud delivers on-demand compute and storage, reducing capital expenses and enabling rapid innovation with built-in AI and machine learning services. Moreover, the global reach and reliability of platforms such as Microsoft Azure allow telecoms to replicate, secure, and manage their OSS across regions far more easily than traditional on-premises setups. By shifting OSS to a cloud-native model, operators can pivot from lengthy, monolithic upgrade cycles to nimble, iterative releases—critical for accelerating 5G and 6G services, IoT offerings, and B2B2X monetization scenarios.

Self-optimizing networks and beyond

While self-optimizing networks (SON) currently manages aspects of radio access networks, next-generation AI solutions extend self-optimization to the entire telecom domain. Microsoft Project Janus is an early example of how real-time AI-powered telemetry can proactively detect network anomalies, predict service degradations, and dynamically optimize network resources—laying the foundation for fully autonomous network operations. Telefónica España, for example, leveraged Azure AI and machine learning to achieve significant improvements in network performance and efficiency. By incorporating AI and big data technologies, Telefónica España is developing more intelligent networks capable of self-optimization and adaptation. This intelligence allows for a reduction in time to market for new solutions, enabling the company to swiftly implement innovations that enhance network performance and customer satisfaction. With advanced generative AI, AI-powered instructions can autonomously fine-tune network configurations, adapt capacity, and realign resources based on live traffic patterns. This orchestration is feasible only when AI has an enterprise-wide view of network, business, and operational data.

Embracing open standards and ecosystem collaboration

Just as critical as data consolidation is ensuring interoperability and flexibility. Many telecoms are turning to TM Forum’s Open APIs and adopting Open Digital Architecture (ODA) principles. These frameworks reduce vendor lock-in, streamline data exchange, and allow AI solutions to operate across heterogeneous environments. 

For example, TM Forum’s collaboration with Microsoft has accelerated the adoption of carrier-grade, open-source ODA canvases. By aligning Azure’s robust cloud capabilities with ODA standards, operators are now better equipped to innovate rapidly, simplify complex integrations, and significantly reduce the operational hurdles associated with legacy systems.

Microsoft plays a pivotal role in supporting these open standards, providing a cloud-native, modular approach fully aligned with ODA. A practical illustration is Sure Telecom’s adoption of Azure, where leveraging Microsoft’s open API framework allowed them to consolidate disparate data sources and achieve enhanced customer insights and operational efficiency. Microsoft’s platform delivers out-of-the-box integrations and open APIs that empower operators to harness AI-powered analytics and intelligent automation workflows, minimizing friction traditionally encountered during legacy system modernization. 

Achieving scale with cloud-native AI

A robust, cloud-native foundation is essential for scaling AI across complex telecommunication environments. Containerized microservices, DevOps practices, and serverless compute reduce operational overhead, allowing teams to focus on innovating rather than managing infrastructure. Within such environments: 

• Azure AI services streamlines the training, deployment, and monitoring of AI models across OSS and BSS workloads. 
• Microsoft Fabric fosters seamless data ingestion, orchestration, and transformation—critical for building that unified data estate necessary for agentic AI. 

By converging data and AI workloads in the cloud, telecoms can more quickly test and deploy innovative services that leverage advanced analytics for both operational efficiency and new revenue streams.

In addition to the operational and technical upsides, running on public cloud offers a more predictable and flexible cost model. Instead of large capital expenditures tied to peak capacity, operators pay only for what they consume. This shift in economics not only aligns with sporadic traffic spikes—common in modern usage-based and event-driven architectures—but also frees up budget to invest in strategic AI initiatives. By reducing hardware overhead, maintenance, and upgrade costs, telecoms can reinvest in higher-value activities such as AI-powered product innovation and partner ecosystem growth. 

Microsoft’s unique value: Building a telecom foundation for agentic AI

Microsoft combines a partner-centric approach with end-to-end technology solutions—bringing actionable capabilities to telecoms that want to realize AI-powered OSS and BSS at scale.

Key value streams include: 

1. Telecom-specific cloud and data services: Telecom-optimized solutions from Microsoft and its partners help unify network, operational, and customer data into a single source of truth. 
2. First-party AI agents: Microsoft’s growing suite of autonomous agents, such as those integrated within Dynamics 365, automate complex business processes—enhancing efficiency and decision-making across various telecom operations. 
3. Alignment with industry standards: Microsoft’s active support for TM Forum and ODA ensures an open, interoperable environment. Operators can adopt AI without overhauling existing infrastructure or incurring vendor lock-in. 
4. Security and compliance: As AI-powered automations become central to business functions, Microsoft provides enterprise-grade security and governance—critical for protecting sensitive network and customer data. 
5. Partner ecosystem: Collaborations with leading vendors—such as Amdocs, CSG, Blue Planet, ServiceNow, Netcracker, and system integrators—create end-to-end workflows that accelerate modernization and reduce complexity. Through these partnerships, Microsoft’s AI tools seamlessly integrate with telecom-specific applications.

Positioning for revenue impact and the autonomous future

When OSS and BSS data is unified and AI-powered processes take over routine tasks, telecoms can prioritize innovation that directly impacts the bottom line. Whether rolling out new network services or offering real-time network slicing for enterprise customers, the ability to act on consolidated data in an autonomous fashion sets operators apart in a hyper-competitive market.

Short-term gains include faster time-to-market for new services, reduced operational costs, and improved customer experiences. Longer term, fully autonomous, self-healing networks that optimize themselves and require minimal manual intervention, unlock new revenue streams through AI-powered insights. Project Janus is already demonstrating this shift—showcasing how AI-powered network intelligence moves beyond predictive analytics into autonomous, self-optimizing operations that reduce operational overhead and ensure peak performance with minimal human intervention.

Project Janus demonstrates how AI-powered network intelligence can move beyond predictive analytics into autonomous, self-optimizing networks—reducing operational overhead and ensuring peak performance with minimal human intervention. 

Ready to transform your operations?

The industry is moving beyond point solutions toward a future where agentic AI and unified data estates power autonomous operations. For telecom leaders, now is the time to ensure OSS and BSS modernization strategies align with open standards, prioritize data consolidation, and prepare for the emergence of fully autonomous networks.

Microsoft and its partners are here to guide you on this journey—from building robust cloud-native foundations and consolidating your data estate to delivering intelligent, revenue-focused transformations across OSS and BSS. By embracing this approach today, you’ll ensure your operations not only keep pace with evolving market demands but lead the next era of telecommunications innovation. 

Learn more about our AI and generative AI solutions for telecommunications and discover how we can help you lay the groundwork for the agentic AI revolution—starting with your most strategic asset: your data.

The post The transformative impact of AI and generative AI on OSS and BSS in telecommunications appeared first on The Microsoft Cloud Blog.

96% of our tier-1 telecom customers are already adopting Microsoft AI solutions. Our ecosystem of customers and partners are harnessing the power of AI to reimagine customer experiences, modernize networks, automate business operations, and drive growth.

Ahead of Mobile World Congress 2025 (MWC), we’re sharing new capabilities and customer momentum that show how telecoms are adopting the Microsoft Cloud and AI capabilities to support their AI journey and empower the next generation of telecom solutions. 

We invite you to join us next week at MWC to learn more about our new announcements and see firsthand how Microsoft AI is transforming the telecom industry. Experience live demos, attend insightful sessions, and meet our experts to learn how you can drive innovation and growth with Microsoft AI technologies.

Data is the fuel that powers AI: Telco data model

Telecom networks are recognized for their complex, data-rich environments. This data is the fuel that powers AI and forms the foundation upon which next-generation telecom systems are built. To convert this massive potential into actionable intelligence, organizations need a unified platform that can seamlessly connect, manage, and analyze their data. Microsoft Fabric is the end-to-end data platform designed to power customer AI transformation and help organizations reimagine how they unlock value from their data and revolutionize the services they offer.

Today we announce the Telco industry data model in Microsoft Fabric, designed to unify all data—from network performance metrics to customer interactions, within a single analytics environment. Telecom providers will be able to use the Telco industry data model to manage and streamline how all their data is ingested, modeled, and analyzed through:

• Native Fabric integration—a unified pipeline within Fabric’s analytics, governance, and visualization framework means faster time to market, with better insights. 
• Expanded data model—pre-built telecom-specific schemas covering network data, customer insights, and operational metrics drives operational efficiency.
• Developer and visualization tools—simplified, AI-ready solution building that dramatically reduces development and testing time, making networks more resilient. 

More than 50% of our telecom customers are leveraging Fabric for real-time business insights to optimize business and network operations. Leading customers like Telefónica, KPN, One NZ, and partners like Accenture, Infosys, and LigaData are using Fabric to achieve business results. The broader customer adoption for Fabric is more than 19,000 customers, including 70% of the Fortune 500. The Telco industry data model in Microsoft Fabric will enable telecoms to establish a strong data foundation to unlock AI-powered insights that fuel innovation, operational efficiency, and greater value across the entire organization. 

“Microsoft Fabric, powered by Telco data model and AI capabilities, has revolutionized our solutions by providing real-time insights throughout the customer journey, potentially increasing operational efficiency by 40%. Our solution offers preventive insights across the entire order lifecycle and its auto-healing capability for enhanced jeopardy management, significantly improving the management of complex B2B orders and enhancing the customer experience.”

Balakrishna D.R., Executive Vice President, Infosys Limited 

The Telco industry data model in Microsoft Fabric will be available early in April 2025.

Telecom customers are adopting Cloud and AI to innovate

Telecom customers around the world are taking advantage of the cloud and AI in new and innovative ways. The collaborations we recently announced with KT Corporation, Lumen, Telstra, and Vodafone demonstrate how telecoms are innovating to elevate customer experiences, streamline business operations, modernize networks, and unlock new revenue streams. Additionally, we’re introducing new collaborations with top telecom providers that exemplify how they’re building the foundation to successfully implement AI, benefiting their organization, employees, and customers. 

• Spark, New Zealand’s leading telecom provider, is joining forces with Microsoft in the country’s largest Microsoft public cloud partnership, highlighting how AI and the Cloud are helping to transform telecom worldwide. Spark will migrate a portion of its workloads to Microsoft Azure and roll out one of New Zealand’s largest Microsoft 365 Copilot deployments. For more, read the press release. 
• Microsoft and Telefónica are extending their strategic collaboration to co-develop digital solutions using Open Gateway, a GSMA-led initiative that transforms communication networks into programmable platforms via Telefónica’s AI platform, Kernel. Both companies will work together to migrate Kernel’s capacities to Azure as part of a software as a service (SaaS) offering. The collaboration also encompasses a joint go-to-market strategy, which will bring a suite of digital products and services to other telecoms, developers, and telecom entities—available on Azure Marketplace and integrated into Microsoft’s overall telecom solutions. For more, read the press release.

We are also announcing that Microsoft Surface Pro and Pro 10 for Business with 5G devices are available now through Verizon Business online, along with broader Microsoft 365 Copilot and Surface availability later in 2025. This launch marks a decade of partnership between Microsoft and Verizon Business, offering cellular connected Surface for Business devices and Microsoft services. Customers are choosing Surface Copilot+ PCs today for their exceptional performance, battery life, and security. Now, with the Verizon 5G network, the combination of Surface and Microsoft 365 Copilot offers an unparalleled mobile experience for business customers. For more, read the Surface IT Pro blog. 

*Requires subscription, sold separately.

Telecoms accelerate growth in the next wave of AI: Agentic AI

As the AI platform shift accelerates, it’s inspiring to see customers and partners harness AI, generative AI, and agentic AI to drive transformation—reshaping both their businesses and the industry at large. 

Elevating customer experiences

A recent IDC white paper showed AI-powered customer engagement is a top priority for businesses, with 92% of organizations currently using AI for marketing and public relations (PR) and 77% using it for customer service​. Telecom providers are delivering frictionless customer experiences with AI-infused customer care at-scale with Dynamics 365. With a comprehensive view of the customer, telecoms obtain real-time insights into accounts and next-best actions to take. They also enable their customers through AI-powered automation for self-service. Additionally, Amdocs has created the Customer Engagement Platform that is fully integrated with Dynamics 365, to reimagine customer experience and identify new revenue opportunities for telecoms. 

Since last MWC, we announced Dynamics 365 Contact Center, a powerful solution that works with existing customer relationship management systems (CRMs) and unifies interactions, streamlines support, and boosts customer satisfaction. With this solution, consumers can engage and self-serve in their channel of choice while reps can handle billing and tech issues faster with a single view. Built-in Copilot capabilities and real-time analytics drive improvements and upselling, enhancing loyalty, and revenue.

Leading telecoms are also reimagining how they connect with customers by harnessing Microsoft 365 Copilot to capture real-time transcripts, gain contextual insights, and automate repetitive tasks. This reduces handling times, freeing representatives to tackle more complex customer needs.

Here are some examples of how telecoms customers are using Microsoft AI technologies to transform their business and reimagine customer experiences:

• Telkomsel’s AI-powered solution Veronika, built on Azure and introduced at the end of 2023, is delivering impressive results. Telkomsel has increased self-service interactions by 62% and cut escalations to agents by 38%. The average monthly active users of Veronika also grew by 67%, rising from 1.3 million in the first half of 2023 to 2.2 million in the second half. These improvements have boosted agent productivity and service quality, making for a smoother, more efficient customer experience.
• Vodafone is harnessing Microsoft 365 Copilot to empower 68,000 employees to boost productivity, innovation, and quality. They are also leveraged Azure OpenAI Service, Azure AI Studio, Kubernetes Service to develop Tobi and SuperAgent to empower their agents with real-time AI support to improve customer experience, decrease churn, and provide competitive advantage. This improved first-time resolution from 70% to 90%. 
• Lumen is leveraging Microsoft AI solutions to empower their employees and improve customer service.

“Lumen is building the trusted network for AI. By scaling our AI capabilities with tools like Copilot, Azure AI, and Azure ML, we’re empowering our employees to tackle complex challenges and prioritize high-impact activities that enhance customer experiences and satisfaction. As we navigate our transformation, Microsoft’s AI tools are essential in supporting our objectives and sustaining our competitive advantage.”

Ryan Asdourian, Executive Vice President and Chief Marketing Officer, Lumen Technologies 

Optimizing operations and modernizing networks

To keep pace with increasing business demands, leading telecoms are optimizing business operations and modernizing their networks with AI and an integrated data backbone. 

Here are examples of how customers are using Microsoft AI capabilities to drive operational efficiency, innovation and growth:

• AT&T automates code conversion and human resources (HR) inquiries with Azure OpenAI Service, improving employee experience, cutting costs and boosting customer service.
• KT Corporation is leveraging Microsoft AI to drive efficiency and innovation.

“The Microsoft AI-driven solutions have enabled KT Corporation to improve its work efficiency and drive significant work innovation. By introducing Microsoft 365 Copilot, KT Corporation empowered over 11,000 employees with the latest AI solutions. Additionally, by developing AI agents built on solutions such as Microsoft Sustainability Manager and Copilot, KT reduced task completion time by 50% and improved infrastructure efficiency by 20%.” Phil Oh, CTO, KT Corporation

• Proximus and TCS’s GitHub Copilot journey showcases how Microsoft generative AI accelerates IT delivery in telecom, improving productivity, code quality, and developer experience.
  

“In terms of developer experience, that’s where we got phenomenal, satisfactory feedback from developers—about 90% plus positive feedback from all categories of developers.”

Muralidharan Murugesan, Head – AI, Telco, Media & Information Services Industry, TCS 

• NTT DATA is leveraging Microsoft AI to build agentic AI workloads.

“NTT DATA leverages Microsoft Copilot Studio to deliver agentic AI advisory, implementation, managed services, and connectivity. By providing industry-specific automation and utilizing our integrated managed services platform, we support clients throughout their agents’ lifecycle. This collaboration is pivotal in achieving our clients’ outcomes, enabling us to deliver tailored, efficient, and innovative solutions that drive business success and enhance decision-making processes.”

Aishwarya Sing, SVP, Global Head of Digital Collaboration, NTT

• One NZ is using Microsoft Fabric for real-time analytics from unified data sources. With the integration of multiple systems and visualizing insights on a single pane, One NZ has rapidly streamlined processes and proactively addressed growth opportunities: 
  

“Previously, you needed to be a data engineer or scientist to access and understand customer information. Now we’re making it user-friendly, so anyone can easily make data-driven decisions.”

Strathan Campbell, Channel Environment Technology Lead, One NZ 

• Telstra scales in-house generative AI tools, saving 90% of employees’ time and reducing follow-up contacts by 20%.

Unlocking new revenue streams in the enterprise

A recent IDC white paper reports that 63% of telco and media companies say they are currently monetizing or using AI to boost revenue. As a trusted partner, beyond supporting their own transformation, we equip telecom providers with comprehensive business-to-business (B2B) offerings to drive topline growth and better serve their enterprise customers. 

For example, AT&T’s collaboration with Microsoft is reimagining enterprise connectivity. AI applications and AT&T’s connectivity are tackling the USD112 billion annual retail shrinkage issue head-on. By integrating Azure IoT with AT&T’s 5G network and leveraging Teams Phone Mobile for notifications, retailers receive alerts that minimize loss and ensure safer shopping experience. AT&T’s move into AI-powered connectivity has created new revenue streams, spanning cost savings, compliance, and collaboration.

“AT&T is a leader in enabling innovative AI solutions and continues to expand capabilities through our relationship with Microsoft. We’re excited to integrate Microsoft’s AI capabilities into our retail crime intelligence platform, which utilizes near real-time notifications via Teams Phone Mobile. This collaboration underscores the commitment of both companies to enhance retail security and contribute to a safer shopping environment for both employees and customers.”

Cameron Coursey, Vice President, AT&T Connected Solutions 

Another partner, Norwood Systems, is extending traditional voice services with Voice AI, opening up a new revenue stream for telecoms. Its OpenSpan solution, built on Azure OpenAI Service and Azure AI Speech, enables telecoms to bridge public switched telephone network (PSTN) and mobile services, to deliver advanced features like real-time recording, transcription, and summarization. This provides seamless call management for users and deeper insights for the telecom providers:

“By integrating Norwood’s OpenSpan with our mobile and voice networks, BT is unlocking new possibilities in voice technology. This innovation bridges our award-winning networks with AI, creating opportunities to enhance customer experiences, drive new efficiencies, and shape the future of voice communications.”

Jon Martin, Senior Director, Unified Communications, BT 

To continue our mission to help telecoms succeed in this era of AI platform shift, Microsoft is enabling telecoms to further capitalize on AI by offering generative AI-powered managed security services. This allows tier-1 telecoms to generate new revenue from reselling, implementation, and managed services, while also reducing security operations center (SOC) costs and accelerating threat responses.

AI-powered Microsoft platforms and capabilities for co-innovation

Microsoft offers arguably the most comprehensive AI solutions. As a platform-first company, we also provide extensive tools to empower partners, developers and customers to build innovative cloud and AI solutions that meet the needs of telecom businesses.

Our adaptive cloud approach unifies hybrid, multi-cloud, and edge infrastructure through a single Azure Arc platform. We enable customers to build distributed, low-latency, high-performance applications and establish a common data foundation for current and future AI investments. For ultra-low latency or regulatory scenarios, we’re expanding Azure with Azure Local—cloud-connected infrastructure deployable at edge locations like retail sites and central offices. We continue to support existing Azure Operator Nexus customers as the solution evolves as part of our overall approach for Azure at the edge.

Accenture is spearheading an enterprise-ready private multi-access edge compute (MEC) solution built on Azure Local to deliver low latency, localized data processing, and meet regulatory requirements. Tejas Rao, Accenture, Managing Director, Accenture says, “Private 5G and edge computing are no longer experimental technologies, they are catalysts for enterprise transformation. By leveraging Azure Local, we help organizations harness ultra-low latency and localized data processing to unlock real-time insights, automate critical operations, and meet industry-specific compliance needs.”

Another partner, Nokia, is using generative AI to accelerate the path to self-healing and self-managed networks. They are developing the capabilities to provision a fully autonomous “Level 5” telecom network, one that self-manages and optimizes itself in real-time. Nokia’s “System Intellect” architecture, built on Azure AI Foundry and Azure Open AI Service, unifies multiple AI agents under a single framework. This ensures reliability while delivering predictive insights, faster problem resolution, and continuous operational improvement. For more, read the Nokia blog: AI and generative AI: Key to Level 5 autonomous networks. 

We are also open sourcing the programmability of the Radio Access Networks (RAN) with Project Janus, now on GitHub. Project Janus streamlines real-time network telemetry into a unified telecom data estate, enabling AI-powered optimization and dynamic service models. It ensures that RAN intelligence, performance metrics, and radio resource usage seamlessly feed into operational and customer data, driving predictive maintenance and optimization for public and private networks.

Here are new Project Janus integrations within partner solutions:

• Capgemini is including Project Janus in a reference 5G stack, enabling its equipment provider customers to build highly customized 5G network solutions. 
• Mavenir is incorporating Project Janus-based probes into its latest RAN release, helping tier-1 telecoms reduce latency and improve diagnostics.
• Software Radio Systems (SRS) is integrating Project Janus into its srsRAN codebase, including the commercial Enterprise 5G offering and the open source srsRAN Project. 
• ZaiNar has built their 5G localization solution on top of Project Janus.

Microsoft has also performed an initial integration of Project Janus into Intel’s FlexRAN reference architecture, which ecosystem partners like Capgemini have adopted.

Academic institutions, such as the University of Edinburgh, are also adopting Project Janus, and Texas A&M University and the University of California San Diego are integrating it into 5G research platforms.

To learn more about how telecoms can modernize their networks with Project Janus, read this blog. 

Join us at MWC to learn more 

As the pace of AI impact accelerates, telecoms need a partner they can trust to navigate what’s next. Join us at Mobile World Congress 2025 to learn more about our latest AI innovations in theater sessions, see cutting edge demos, and meet with our experts. Let’s shape the future of telecom together—powered by AI, inspired by innovation, and built on trust.

The post Microsoft AI ignites telecom innovation and growth appeared first on The Microsoft Cloud Blog.

From proactive customer engagement to new digital marketplaces, the opportunities are vast. Telecom operators already have the foundational systems in place—billing, customer management, and network operations—but by incorporating AI and generative AI into these existing environments, operators can convert vast amounts of data into actionable insights, develop innovative business models, and deploy high-value services at scale.

Reimagining revenue generation in a data-driven era

Telecom operators have relied on strategies like incremental capacity upgrades, discounted bundles, or costly acquisitions to drive top-line growth for decades. But today, AI and generative AI are fundamentally changing that paradigm. By mining network and customer data, intelligent solutions can uncover hidden patterns, predict emerging needs, and guide the design of new offerings. This proactive stance transforms operators from mere connectivity providers into digital lifestyle supporters and strategic enterprise partners.

For example, PLDT in the Philippines utilizes advanced analytics powered by Microsoft Azure AI to understand customer behavior better, segment markets precisely, and create tailored promotions. These strategies lead to upselling, cross-selling, and even wholly new services that expand the bottom line.

Turning data into action: Personalized offerings at scale

Telecom networks generate immense amounts of data every second, covering usage patterns, content preferences, and interactions with support channels. AI-powered tools like Microsoft Azure OpenAI Service and Azure AI Services help operators transform these streams into actionable insights. Operators can release timely, targeted propositions that resonate by pinpointing which customers are most likely to upgrade, adopt new offerings, or embrace premium tiers.

Vodafone, for instance, enriched its digital assistant capabilities with AI Service. This helped the company improve user experiences and gain critical insights into behavior. As a result, Vodafone can introduce niche content bundles, premium customer support tiers, and other value-added services—each contributing directly to incremental revenue growth. Similarly, One New Zealand utilizes Microsoft Power BI to turn analytical findings into finely tuned marketing campaigns and product strategies. This data-driven approach paves the way for new revenue streams—from curated entertainment packages to business analytics services and IoT-based connectivity solutions. Telkomsel in Indonesia takes a similar approach, using Azure OpenAI Service to personalize customer care experiences, driving new revenue opportunities from add-on content, international roaming, and enterprise-grade services.

Monetizing the 5G and IoT opportunity

As 5G networks expand, telecom operators are at the center of the Internet of Things (IoT) revolution, moving beyond merely providing connectivity to monetizing advanced capabilities—such as orchestrating connected devices, securing data flows, and delivering intelligent analytics across industries. By doing so, they can tap into lucrative verticals like smart cities, autonomous vehicles, telemedicine, and manufacturing automation. In particular, 5G offers a pivotal monetization opportunity through premium network slices for specialized use cases: media companies can pay a premium for ultra-low latency streaming, while industrial clients may invest in tailored bandwidth for IoT analytics—transforming existing infrastructure into a powerful, revenue-generating asset.

Integrating AI-driven tools like Microsoft Security Copilot into advanced networks creates a compelling monetization layer. Real-time insights help businesses enhance security, adapt to threats, and maintain compliance, while telecom operators can offer AI-enhanced security as a premium service. This integration of AI-powered security not only differentiates the 5G offering but also unlocks a recurring revenue stream for providers, positioning AI as a cornerstone of next-generation telecom strategies.

Voice AI: Reimagining public switched telephone network (PSTN) and mobile voice

In addition to these opportunities, Voice AI services present a significant new revenue stream for telecom operators. By integrating Voice AI capabilities, operators can bring PSTN (land lines) and mobile voice services up to par with those offered by voice over IP (VOIP) providers. Imagine a world where customers can record, transcribe, summarize, and store their cell phone voice calls seamlessly, just like they do in platforms such as Microsoft Teams.

Voice AI services can revolutionize customer interactions and create value-added services that customers are willing to pay a premium for. For instance, businesses can benefit from automated call transcriptions and summaries, enhancing productivity and compliance. Consumers can enjoy features like searchable call archives and personalized voice assistants, enriching their communication experience.

By offering these advanced voice services, telecom operators can differentiate themselves in a competitive market, attract new customers, and increase average revenue per user (ARPU). This integration of Voice AI not only enhances the customer experience but also unlocks a recurring revenue stream, positioning AI as a cornerstone of next-generation telecom strategies.

Partnering for growth: Ecosystem collaborations and marketplaces

In today’s digital economy, telecom operators can evolve into platform orchestrators. By collaborating with hyperscalers, system integrators, and independent software vendors (ISVs), operators can develop service ecosystems that span analytics, security, AI-powered customer support, and domain-specific solutions.

Telecom operators can offer ready-to-deploy AI solutions for healthcare, agriculture, logistics through platforms like Microsoft Azure Marketplace or their own marketplaces. This model supports operators to monetize their connectivity and the curated digital services sold through their ecosystems.

NTT DATA, in close collaboration with Microsoft, is another example of how digital workplace solutions and managed services are creating new value propositions for telecom clients. Operators offering these AI-enhanced packages can unlock subscription-based fees, revenue-sharing commissions, and integration services—extending their earnings beyond traditional consumer offerings.

Modernizing business models with AI-powered insight

AI and generative AI do more than personalize customer experiences; they support entirely new business models. Predictive analytics, for example, can forecast demand, segment customers precisely, and inform dynamic pricing strategies. Operators can quickly launch new service tiers, trial periods, and loyalty rewards, adapting their catalogs to meet shifting market demands.

Telstra uses Azure OpenAI Service to streamline operations, boost productivity, and support new revenue models such as network-as-a-service, real-time discounts, or enterprise connectivity solutions tailored to sector-specific needs. By analyzing customer usage in real time, AI-powered insights power personalized services and demand-based pricing, unlocking net-new revenue through premium value-added offerings. Using AI to create compelling, value-added services that enterprises are willing to pay a premium for offers significant potential for net-new revenue streams.

Maximizing customer lifetime value through AI-powered engagement

Beyond attracting new customers or verticals, AI and generative AI also help operators extract more value from their existing base. Predictive analytics can spot when a subscriber will likely upgrade devices, add content bundles, or embrace complementary services. Meanwhile, generative AI-powered chatbots and digital assistants can proactively suggest relevant offers at the right moment, enhancing the customer experience and boosting ARPU. For example, Vodafone uses Microsoft 365 Copilot to empower its teams to better serve customers by providing deeper insights and automated support tools. Employees can propose high-value add-ons that increase ARPU and strengthen long-term subscriber relationships. Similarly, Telkomsel uses AI-supported customer care to offer hyper-personalized recommendations, expanding lifetime value beyond initial subscriptions with high-value, targeted service and product upsell.

Scaling with cloud-native technologies and co-innovation

To scale these revenue streams effectively, telecom operators turn to cloud-native architectures and AI frameworks like Microsoft Fabric, which streamline development and integration. By co-innovating with hyperscalers, ISVs, and network solution providers, operators can access the latest AI capabilities without shouldering the entire burden of R&D costs. Partnerships with AT&T and Lumen Technologies showcase the power of combining network expertise with cutting-edge AI innovation to create dynamic value ecosystems. These collaborations allow operators to rapidly prototype and refine solutions, adapting quickly to customer feedback and market shifts.

Charting the next frontier of telecom monetization

Unlocking new revenue streams with AI and generative AI is not about marginal improvements but reimagining the telecom business model. Operators can shift from transactional interactions to sustained engagement, transforming their networks and platforms into hubs of digital innovation that create value across industries.

Achieving this requires a willingness to experiment, measure results, and refine offerings swiftly. With tools like Azure OpenAI Service, Microsoft 365 Copilot, and Power BI, telecom teams can rapidly test new revenue strategies, monitor performance, and evolve their portfolios based on data-driven insights.

Ready to unlock your next revenue stream?

The transformation of the telecom industry into a platform-driven, AI-enhanced ecosystem is well underway. As networks evolve into intelligent, value-generating infrastructure, operators stand on the threshold of new, expansive revenue opportunities.

By embracing AI and generative AI, forging strategic partnerships, and using the Microsoft suite of cloud and AI solutions, telecom operators can turn data into high-value services, experimentation into reliable revenue channels, and customer relationships into long-term growth engines. The result is a new era of profitability, innovation, and leadership in an ever-evolving digital economy.

Explore Microsoft AI and generative AI solutions today and discover how your telecom business can thrive, innovate, and lead in this new era.

The post Unlocking new revenue streams in telecom with AI and generative AI appeared first on The Microsoft Cloud Blog.

Microsoft for telecommunications

Accelerate telco transformation in the era of AI.

Learn more

But when we talk about “customers,” what do we really mean? Traditionally, it’s the subscriber, who interacts with telecom services daily. However, the reality is more complex. Telecoms must serve a dual audience: not only these external customers, but also their internal customers—their workforce and operational teams, whose efficiency and satisfaction are crucial for delivering seamless customer service. This dual focus reshapes how telecoms must approach innovation and transformation, making AI an important enabler for both external engagement and internal efficiency. 

AI-powered customer engagement and personalization 

When enhancing customer experience, it’s about delivering consistently excellent service at every touchpoint, including self-service systems and contact centers. Modern customers expect their telecom providers to understand and anticipate their needs, resolve issues quickly, and offer personalized solutions. Failing to meet these expectations can result in customer churn and lost opportunities. 

To meet these evolving demands, telecoms are increasingly partnering with technology providers to develop and implement advanced AI solutions that elevate customer engagement and operational efficiency. By using AI and cloud-based platforms, telecoms can create personalized, real-time responses and predictive support systems that align with customer expectations. This collaboration not only improves customer experience but also streamlines internal processes, enabling telecoms to adapt quickly in a competitive landscape. 

Telecoms deploy AI customer service solutions

A prime example of telecoms using AI to meet these demands is Vodafone’s AI chatbot, TOBi, showcased in a recent webinar². TOBi handles more than 45 million interactions per month³ across multiple languages, significantly reducing wait times and improving customer satisfaction by providing real-time, accurate responses. This capability is powered by Microsoft Azure, allowing Vodafone to efficiently scale support across 13 markets⁴. 

To fit the unique needs of telecom operators, Amdocs and Microsoft came together to create the Customer Engagement Platform, integrating advanced AI technologies and built-in capabilities, enriched with telecom-specific data. This platform integrates seamlessly with pre-sales, customer support, and beyond. For example, PLDT is partnering with Amdocs for digital transformation, leveraging real-time data from various touchpoints, such as billing and network usage to deliver highly personalized services.⁵ With the modular design of the Customer Engagement Platform, CSPs like PLDT can quickly deploy new services or updates, reducing resolution times, increasing agent productivity, and enhancing the overall customer experience, ensuring consistent and seamless interactions that enhance customer loyalty.

Optimizing delivery with more autonomous agents

Additionally, Microsoft Dynamics 365 has introduced autonomous agents that further extend these capabilities, helping telecom companies optimize service delivery. The Customer Intent Agent dynamically identifies emerging customer needs by analyzing past and current interactions, autonomously updating knowledge libraries, and delivering contextually relevant solutions. By using Microsoft data security and AI best practices, telecoms can scale their customer care operations while maintaining competitive advantages. 

These AI-powered solutions help to ensure telecom providers can rapidly adapt to customer needs, driving satisfaction, loyalty, and retention. 

AI as the assistant for employees 

Just as customers demand excellence, the needs of employees and teams such as customer service agents, field technicians, and network engineers are a priority. AI technologies are important for streamlining workflows, surfacing actionable insights in real time, and automating routine tasks, enabling employees to focus on high-value activities and innovate within their roles. 

Applying GenAI to help address customer issues 

To illustrate, Vodafone’s integration of Microsoft Azure AI acts as an assistant for agents, automating repetitive tasks and providing insights that support complex customer interactions. By automating routine processes, Vodafone has successfully increased employee engagement and productivity, leading to an overall improvement in customer care quality. 

Similarly, the Amdocs and Microsoft Customer Engagement Platform⁶ enhances the employee experience by incorporating Microsoft Teams and Office tools. This integration equips telecom agents with real-time insights and predictive analytics, enabling them to address customer issues effectively and personalize support. The platform’s modular AI capabilities streamline workflows by automating routine interactions and consolidating multiple systems and data sources into a comprehensive 360-degree customer view. This empowers agents to make informed decisions quickly, enhancing both customer interactions and employee productivity. 

Amdocs’ low-code environment also empowers telecoms to rapidly develop and deploy virtual agents and process automation tools. These technologies assist non-technical employees in resolving customer queries efficiently while optimizing back-office operations such as billing and order management. This approach not only enhances productivity but also increases agent empowerment and engagement by allowing them to focus on more complex, high-value tasks, ultimately improving overall service quality. 

New agents to enhance the employee experience

New agents, such as Case Management Agent, further enhance these scenarios. By automating key tasks throughout the case lifecycle, from creation to resolution and follow-up, the agent reduces handle times, equipping agents with the insights needed for complex customer interactions. 

Both Amdocs and Vodafone demonstrate how Microsoft AI technology empowers telecom employees, streamlining operations and increasing efficiency by automating routine tasks and providing real-time insights. This AI-powered approach allows teams to focus on higher-value tasks that elevate service quality. 

AI as a catalyst for telecom innovation 

Amdocs and Vodafone demonstrate how AI enhances, rather than replaces, the human element in customer service. Technology is positioned as an assistant for agents, supporting them in managing routine tasks so they can engage in more meaningful, complex interactions. This approach helps telecoms provide more value-driven customer service while maintaining the human touch crucial for building customer relationships. 

AI’s transformative power extends beyond customer support centers. AI can support field services by optimizing routing, dispatch schedules, and resource allocation based on real-time data. This proactive use of AI minimizes downtime, optimizes field service operations, and further elevates customer experience. Additionally, Vodafone’s partnership with Microsoft uses AI to support neurodiverse staff and optimize network management, driving efficiency and personalized service. 

The path forward 

The future of customer care in telecom is deeply connected with AI, as demonstrated by Vodafone and Amdocs. Investing in AI leads to higher employee satisfaction, sustainable customer retention and growth, as well as ongoing innovation in a competitive landscape. As the telecommunications industry continues to evolve, embracing AI is important. Microsoft’s innovative solutions and strategic partnerships are designed to empower telecom companies to navigate this transformation successfully.  

By using AI, telecoms enhance customer experiences, drive operational efficiency, and create unique service moments. Embracing modernization of networks and the integration of real-time data analytics further position telecoms to lead in the digital age. Together, we can improve customer experience, unlock new revenue streams, and help to ensure long-term success in a rapidly changing landscape.

¹CSPs moving ahead with GenAI for cost reduction and efficiency gains. Omdia, Dec 2023

^2,3Transforming Customer Care: Vodafone’s AI Journey and Vision for the Future

⁴Magherita Della Valle, LinkedIn, Vodaphone Insights

⁵PLDT Selects Amdocs to Digitally Transform its Network Operations for Greater Agility and Enhanced Customer Experience | AMDOCS

⁶Amdocs and Microsoft Customer Engagement Platform

The post AI-powered customer care elevates customer satisfaction  appeared first on The Microsoft Cloud Blog.

Here are examples of what our customers are saying about the value they see: 

Generative AI is proving to be the key to unlocking unprecedented levels of personalization, performance, and customer engagement, as well as the opportunity to change the experience of being on the operator’s network. Microsoft’s strategy to support generative AI adoption in telecommunications centers on four pillars:

1. Elevating customer experience
2. Optimizing business and operations support systems
3. Modernizing the network
4. Unlocking new revenue streams

By focusing on these areas, we aim to enhance customer satisfaction through AI-powered support, streamline business operations with advanced automation, upgrade network infrastructure for better performance and security, and create new revenue opportunities through innovative AI-powered solutions. This comprehensive approach ensures that telecommunications providers deliver exceptional service while driving growth and efficiency.  

Elevating customer experiences 

Differentiation in the telecom industry is a growing challenge, and customer experience is emerging as a key competitive advantage. By leveraging AI-infused customer care, telecommunications companies are enhancing customer experiences through the use of branded service assistants. These AI-powered assistants provide personalized customer support and unique interactions—helping telecoms differentiate themselves from their competitors.

Vodafone Group is investing in both employee and customer experiences. Recently, they announced a plan to provide Microsoft Copilot for Microsoft 365 to their workforce. This generative AI tool will be rolled out to 68,000 employees across the organization to further improve productivity, innovation, and digital efficiency. This follows a successful pilot where Copilot for Microsoft 365 saved over three hours per person, per week—freeing employees to work on more creative, innovative, and valuable tasks, improving work-life balance and enhancing services and supporting Vodafone’s 350 million customers worldwide.   

Vodafone continues to personalize services and improve customer satisfaction by leveraging Microsoft Azure AI Studio, Azure OpenAI Service, and Microsoft Copilot along with Azure AI Search to enhance its customer experience with their virtual assistant, “TOBi,” and their customer agent solution, “SuperAgent.”   

“We aim to provide fast, personalized customer experiences that inspire confidence, but to continue to do that in the face of rising customer expectations, we needed to find a way to better manage complex customer inquiries efficiently and ensure timely and personalized responses.”

Ahmed Elsayed, Chief Information Officer United Kingdom and Europe Digital Engineering Director at Vodafone Group

Today, TOBi engages in more than 45 million conversations a month with customers and is expected to grow to half a billion over the next few years while reducing average hold time by more than one minute.  

Recently, PLDT selected Amdocs’ market-leading Intelligent Networking Suite to transform their network operations. The solution operates on the public cloud, featuring unified network inventory, service and network orchestration, and business process automation capabilities. This agreement also includes the customer service solution for case management, which is part of the Microsoft and Amdocs Customer Engagement Platform (CEP). CEP is a comprehensive, AI-powered solution designed for telecommunications service providers. It offers a unified platform for marketing, sales, commerce, and customer service—enabling telecoms to deliver seamless, digital-first experiences to both consumer and enterprise customers.

Optimizing business and operations support systems 

Telecoms are benefiting from modernizing their Business Support Systems (BSS) and real-time Operations Support Systems (OSS) with data solutions and Copilot for Microsoft 365, an AI-powered productivity tool that integrates with Microsoft 365 apps. At Telkomsel, their chat–based virtual assistant Veronika contributed to a 15% reduction in customer escalations resulting in a net promotor score (NPS) that is 27% above the industry average.

Generative AI assistants for employees empower customer care agents to manage multiple inquiries efficiently, broadening their expertise and resulting in more personalized services leading to improved customer satisfaction and retention.  

Orange France is using generative AI to enhance customer service, marketing, internal and external communications, and network operations, with dedicated support from Microsoft. Use cases include fully integrated tools for rewriting FAQs, generating product sheets, and assisting developers with writing code. Laetitia Orsini Sharps, Consumer Department Director at Orange France, sees this technology as “a promising vector for improving customer service and making employees’ work easier,” allowing service teams to reduce the time it takes an agent to investigate and analyze the root cause of complex cases from 20 minutes to less than 3 minutes.

Modernizing the network 

Telecoms can improve security, network efficiency, scalability, and reliability by using a carrier-grade, AI-infused, and secure hybrid cloud. This modernization effort will reduce costs and drive revenue growth, positioning telecoms as leaders in the digital age.  

Telecoms are protecting their networks from increasingly sophisticated cyber threats. Nokia’s latest innovation, the integration of a generative AI assistant with its NetGuard Cybersecurity Dome, demonstrates this proactive approach to security. Leveraging Azure OpenAI Service, this assistant enhances the efficiency of threat detection and resolution. Nokia expects the generative AI assistant to reduce the time it takes to identify and resolve a threat by up to 50 percent, depending on the nature of a cyberattack. As telecoms continue to fortify their defenses, such advancements are crucial in ensuring the security and reliability of critical operations. 

Real-time analytics capabilities allow telecoms to monitor network performance, detect anomalies, and optimize resource allocation to make data-driven decisions. Microsoft Fabric provides telecoms with real-time data, bringing order to a diverse and complicated data estate, enabling them to scale AI efforts. Fabric integrates data from various sources, including other clouds or on-premises sources, extending to where their data resides, providing a holistic view of telecom operations. The platform’s data visualization tools enable telecom companies to present complex data in an understandable format, facilitating better communication and collaboration across the organization.  

Unlocking new revenue streams 

Using Azure OpenAI Service to scale personalized customer experiences can result in an annual increase in average revenue per customer of 3% to 7% and a reduction in annual churn of 20% to 30%.² Telecom investments in AI and network modernization are unlocking new revenue streams with a platform for rapid development, deployment, and monetization of new services.  

As digital ecosystems expand, telecoms are offering advanced services where applications interact with their networks through APIs, turning their networks into programmable platforms that adapt to changing demands. Azure Programmable Connectivity (APC) offers a seamless Azure experience, providing a unified, standard interface across multiple operator networks globally while abstracting the complexities inherent to network APIs, ensuring code consistency and reliability, as networks continue to evolve. Developers can focus on building applications without worrying about underlying network changes.  

Telecoms can enhance their B2B strategy by leveraging Microsoft’s advanced technologies and strategic partnerships. Yobi Data works with telecoms to better understand customer behavior without compromising privacy.

“Accessing and managing the data necessary for effective AI can be prohibitively expensive—not to mention risky, and inefficient. Yobi Data finds the signal in the noise, empowering telecoms with access to advanced analytics and AI-derived insights into consumer behavior, network performance, and operational efficiency, all based on our own Private-by-Design data set. With these tools, telecoms can reduce churn, increase revenue, and improve customer experience—all without the time, expense, or burdens of new data acquisition.”

Max Snow, Chief Executive Officer, Yobi

The integration of real-time voice AI services using Azure OpenAI Service, Azure AI Translator, and other services allows telecoms to differentiate themselves in the market.

“By partnering with Microsoft, Norwood Systems is pushing the boundaries of innovation in telecommunications. Leveraging Azure AI in our cutting-edge solutions like our CogVoice™ and Visual Voicemail platforms, we’re empowering telecoms operators to unlock new revenue streams, elevate customer engagement, and deliver next-generation experiences. Together, we’re reshaping the future of communication services.”

Paul Ostergaard, Chief Executive Officer and Founder, Norwood Systems 

As telecoms continue to integrate AI into their strategies, the opportunities for growth and innovation are boundless. Recently Korea Telecom (KT) announced a multibillion dollar partnership with Microsoft to accelerate AI transformation for 650,000 companies and 17 million customers in Korea. “The partnership with Microsoft presents a pivotal opportunity, not only for technological collaboration but also for expanding Korea’s AI foundation and driving transformative innovation across industries and daily life,” said KT CEO Young-Shub Kim.

Microsoft’s commitment to supporting this transformation through advanced AI technologies and strategic partnerships will empower telecoms to stay ahead of evolving market and customer demands. 

Explore further how AI is reshaping the telecom industry

Microsoft for telecommunications

Accelerate telco transformation in the era of AI

Start your journey

• Learn more about Azure OpenAI Service capabilities.
• Read the white paper “Scaling telecommunications AI at speed.”
• Connect with us at Mobile World Congress in Las Vegas, Nevada from October 8 to 10, 2024, where Microsoft is a Platinum Sponsor for the Telco AI Summit. We look forward to welcoming you to our speaking sessions or in our executive meeting rooms in the West Hall, Level 2.

¹ IDC’s “Telecommunications Service Provider DX Plans and Strategies Survey Highlights Study”, IDC #US52480824, August 2024. 

² New Technology: The Projected Total Economic Impact™ Of Azure OpenAI Service In Reinventing Customer And Constituent Engagement, a commissioned study conducted by Forrester Consulting, July 2024. 

The post Transforming telecoms with AI appeared first on The Microsoft Cloud Blog.

The telecommunications industry stands at a pivotal juncture, where the convergence of technology and communication is accelerating at an unprecedented pace. Microsoft’s role in this transformation is not just as a participant but as a leader, driving the conversation and action towards a more integrated and efficient ecosystem. Our efforts with the TM Forum and ODA over the years have been instrumental in setting new standards and fostering an environment of open collaboration.

Microsoft for Telecommunications

Accelerate telco transformation in the era of AI

Explore solutions

TM Forum DTW24-Ignite

This year’s TM Forum DTW24-Ignite event serves as a vibrant showcase of progress, partnership, and potential. Sessions will feature discussions on the latest trends and challenges facing the industry, while the Catalysts provide a hands-on look at the innovative solutions being developed.  

Catalyst projects are collaborative initiatives that bring together the collective power of the brightest minds and most influential industry figures to co-create solutions driving industry change through Open APIs, ODA, AI, and automation. Companies collaborate to unlock the possibilities of efficiency for businesses, optimize end-user experiences, and sustainable growth for all. This year Microsoft is thrilled to be actively contributing to two new phase catalysts alongside leaders from Vodafone, AT&T, Bell, Orange, Verizon, STC, Du, BT Group, and more.

• Responsible AI—Improving generative AI’s reliability for adoption at scale: This catalyst aims to address the challenges and risks associated with deploying generative AI models at scale, such as explainability, drift, and bias.
• DarkNOC: Generative AI propels insights driven NetOps—A new AI-driven cloud native stack for network assurance and service management: This catalyst aims to showcase how generative AI can enhance network assurance and service management, using a cloud native stack that aligns with industry-standard architecture, such as TM Forum ODA and Open APIs.

For those seeking a more granular view of the event, my LinkedIn post offers a wealth of information. My detailed account captures the essence of our presence at the event including information on all speaking engagements. 

Innovation Hub and ODA Accelerator

Our recent collaboration with the TM Forum Innovation Hub marks a significant milestone in our journey. By contributing to the ODA Accelerator initiative, we are helping to shape a modular, agile, and future-proof digital architecture that will serve as the backbone of the telecommunications industry for years to come. 

Microsoft has significantly contributed to the ODA program by signing the ODA Manifesto, joining the Innovation Hub, and supporting its development. We aim to transform the industry from legacy operation support system (OSS) and business support system (BSS) to cloud-native software, using standardized plug-and-play components, data models, and Open APIs. We have also created a cloud-based telecommunications ecosystem using the ODA reference canvas on Microsoft Azure, helping to drive digital transformation in the telecommunications sector.²

Our booth will serve as a hub for engagement, where attendees can experience our technologies and interact with our experts. Our in-booth presence includes stations covering: 

Developer velocity

At Microsoft, we believe that empowering developers is key to driving innovation. The ODA canvas and accelerator, along with GitHub Copilot for Open APIs, are revolutionizing the way developers work, enabling them to build more efficiently and effectively. The success stories from Orange and Lumen, as detailed in their respective case studies, are a testament to the transformative impact of these tools.

Our collaborations with TM Forum members Exos Systems and Tata Consultancy Services (TCS) have enriched the developer ecosystem, providing a range of tools and resources that enhance productivity and creativity. Notable projects with Jio, Proximus, Amdocs, Lifecycle Software, and the AT&T SHINE Catalyst further illustrate the breadth and depth of our commitment to developer velocity.

As part of the AI Service Portfolio, TCS has developed their AI First Telco Modernization framework leveraging their rich experience in TM Forum ODA and our strategic partnership with Microsoft.

It combines the power of TM Forum, ODA Framework, and GitHub Copilot for an accelerated modernization of software applications spanning across ideation, development, testing, and deployment. TCS has successfully implemented these generative AI tools for its clients resulting in higher productivity gains and faster innovation. TCS and Microsoft invite you to join our special GitHub Copilot session, featuring experts from Microsoft, TCS, and Proximus.

Jio is at the forefront of technological innovation within the telecommunications sector, consistently pushing the boundaries of what’s possible.

To accelerate the TM Forum ODA Component project, Jio has contributed to the ODA canvas reference implementation. Their journey began with the deployment of the ODA Canvas on Azure, which has evolved to encompass a suite of components, each designed to enhance telecommunications operations:

• Jio Network Performance Management ensures optimal network functionality.
• Jio Integrated Inventory Management streamlines asset tracking and management.
• Jio Floworx revolutionizes product validation and ordering processes.

These innovative components showcase Jio’s commitment to leading the industry’s digital transformation.

Microsoft is excited to collaborate with Jio and TM Forum on this groundbreaking journey. We invite you to experience this innovation firsthand at Jio booth (Jio Platforms Limited—Booth 232) and the Azure ODA Canvas reference implementation at Microsoft booth (Booth—315J), where the future of telecommunications comes to life.

Customer experience

Customer experience is at the forefront of our efforts in the telecommunications industry. Microsoft Dynamics 365 Contact Center is a prime example of our dedication to improving customer engagement. With Microsoft Copilot Studio, we are enabling the rapid development and deployment of intelligent, generative AI-powered automated care bots capable of resolving the vast majority of customer inquiries.

To assist telcos as they move to incorporate AI across their business, Microsoft, Accenture, and Avanade collaborated on a whitepaper titled “Reinventing telecommunications in the era of generative AI.” This paper explores the transformative potential of generative AI in the telecommunications industry and discusses how AI technologies can enhance network efficiency, improve user experiences, and redefine communication.

Vodafone is a great example of the effectiveness of these bots in a real-world scenario, demonstrating how they can significantly improve customer experience while reducing costs, expediting care, and improving net promoter score (NPS).

Charles Lamanna’s keynote at Microsoft Build 2024 provides further insights into these advancements, highlighting how telcos can use Copilot Studio to rapidly create intelligent Copilots of their own. Charles details how telcos can evolve today’s virtual agents into powerful Copilots that don’t just chat, but are capable of running in the background, asynchronously, and executing workflows with true agent capabilities.

To boost productivity and streamline employee experiences, Lumen Technologies has embraced Microsoft 365 Copilot. This generative AI tool integrates seamlessly with Microsoft Teams, providing employees with an intelligent virtual assistant. Finally, the collaboration between Microsoft and ServiceNow is pivotal in this journey. By combining our expertise, we’ve created a smarter way to work, where generative AI assistants coexist and interact. By integrating Now Assist, ServiceNow’s generative AI experience, telco employees receive conversational responses to requests and connects them to AI-powered workflows on the ServiceNow platform.

Network intelligence

The transformation of network operations is a critical component of our vision for the telecommunications industry. Microsoft Fabric Real-Time Analytics is at the heart of this transformation, enabling the collection and analysis of massive quantities of network data from complex, multi-partner environments. 

Accenture and Microsoft are demonstrating the powerful capabilities of Microsoft Fabric and Azure Data Explorer, enhanced by Accenture’s crowdsourcing data and exceptional engineering.

This collaboration aims to deliver actionable insights for Network Quality of Experience (QoE) management and planning, transforming the optimization efforts of mobile operators.

Our focus is to visualize performance issues that are:

1. Easy to comprehend and analyze.
2. Prioritized based on Accenture, umlaut score, and subscriber impact.
3. Root cause analytics, such as coverage and interference issues.
4. Easily integrate with daily workflows and additional data sources.

We will showcase how Accenture, leveraging Microsoft technology, can deliver an advanced platform built using crowdsourcing data, enriched by our custom analytics, and delivered through a user-friendly web-based front end. 

The Accenture integration shows how these capabilities align with the TM Forum Autonomous Networks initiative. Our Azure Programmable Connectivity, detailed in Ricardo’s latest blog, along with the participation of leading carriers, underscores our commitment to adhering to industry standards like the TMF931 Open Gateway Onboarding and Ordering Component Suite. 

Tecnotree recently authored an article titled “Delayering in Telcos: A Path to Agility and Efficiency” which discusses the significant transformation in the telecommunications sector, driven by the need for cost optimization and operational efficiency. It highlights the importance of delayering organizational structures and the role of Azure Programmable Connectivity (APC) in enhancing agility and customer experience.

Our partnership with Norwood Systems in voice intelligence is another example of how we are enhancing network operations. CogVoice™, their innovative AI Agent platform, is designed to re-monetize communications service provider (CSP) voice networks by delivering highly personalized and low-cost cognitive AI agent applications with breakthrough dialog performance. Leveraging Microsoft Azure OpenAI Service and Azure AI Speech, CogVoice brings exceptional natural language processing and speech-to-text capabilities to CSP-hosted agentic services. 

The new telco data model

We are excited to introduce a new Azure Synapse database template for wireless that promises to redefine how data is managed and utilized within the telecommunications sector. This model is designed to streamline operations, foster innovation, and enable a more seamless integration of services across the industry. 

The TM Forum Modern Data Architecture (MDA) is a strategic framework that outlines how data is collected, managed, and utilized—leveraging technologies like cloud computing and big data platforms to support scalable, flexible, and efficient data processing and analysis. We’ve been working with customers and partners to define and implement data platforms that apply this methodology. Most recently, Tech Mahindra launched a unified workbench on Microsoft Fabric, enhancing data workflow efficiency and accelerating digital transformation for enterprises. Similarly, LigaData offers a transformative approach to telecom data management with its Telecom Data Fabric, which leverages Azure to reduce integration time and enhance enterprise data agility and innovation.

Connect with us

Microsoft’s journey with the TM Forum and the ODA is a story of continuous innovation and unwavering support for the telecommunications industry. As we look to the future, our commitment remains strong—to foster an ecosystem where collaboration, technological excellence, and a shared vision drive us toward a more interconnected world. Join us at the event and connect with us online to be part of this exciting journey. 

¹Microsoft expands commitment to ODA and all other TM Forum highlights from MWC 2023!, TM Forum.

²Microsoft expands its commitment to TM Forum’s Open Digital Architecture, inform.tmforum.org.

The post Microsoft’s pioneering role in shaping the telecommunications landscape appeared first on The Microsoft Cloud Blog.