And that transformation is already well underway: 

• According to Gartner®, “By 2026, more than 80% of enterprises will have used generative AI APIs or models, and/or deployed generative AI-enabled applications in production environments, up from less than 5% in 2023.”¹
• 97% of executives believe generative AI will transform their company and industry, 93% say their generative AI investments are outperforming other strategic areas, based on a research report from Accenture.²

So, how do organizations accelerate their journey through AI adoption? For many leaders, the success of AI-powered reinvention depends on organizations’ readiness to swiftly experiment and adopt a more risk-tolerant approach to scaling generative AI use cases within their operations. 

What AI leaders do differently 

AI leaders incorporate AI into their culture and operations, treating it as an essential element of their business strategy to enhance business value and foster innovation. Organizations at the forefront of this movement are already experiencing transformative impacts. They are leveraging generative AI to unlock new levels of customization in customer interactions, streamline complex workflows, and innovate at an unprecedented scale. By embedding AI into the fabric of their business operations, these leaders are redefining industry standards and setting new benchmarks for success. 

AI in action: How industry leaders are driving reinvention  

ANZ Bank, Zurich Insurance, Telstra, and Coles exemplify how companies can move beyond experimentation and embed AI into their core operations by modernizing their data foundations to fuel AI-powered insights, reskill their workforce to align with new AI capabilities, and ensure AI strategies are co-owned by business and IT leaders.  

ANZ Bank: Cultivating an AI-enabled workforce 

ANZ Bank is a phenomenal example of integrating AI into operations by equipping 45,000 employees with the skills and tools needed to work effectively with AI. A key part of this effort is the AI Immersion Centre, launched in partnership with Microsoft, where employees gain hands-on experience and develop practical AI skills. This initiative fosters a culture of experimentation and continuous learning, helping teams explore AI’s potential across different functions. 

Leadership engagement is central to ANZ’s approach, with the bank implementing CEO-sponsored executive education programs designed to deepen leaders’ understanding of AI ethics, safety, and business applications. These sessions encourage executives to identify AI-powered opportunities and drive adoption across their teams. Through adding thoughtful initiatives, ANZ is strengthening its AI capabilities while ensuring employees are confident and capable in an AI-powered workplace. 

Zurich Insurance: AI-powered data modernization and decision-making 

For a company built on assessing risk and ensuring stability, Zurich Insurance saw early on that AI could revolutionize underwriting and claims processing. With a global footprint and vast amounts of unstructured data across languages and regions, the insurer needed a scalable AI solution to streamline decision-making and enhance customer experiences. 

The impact has been clear, AI is enhancing the employee experience to improve underwriting precision, which has enabled faster claims resolution, and enhanced customer satisfaction. By making AI a core part of operations, Zurich is demonstrating how data modernization and automation fuel reinvention at scale.

Learn more about Zurich’s AI transformation, or how Zurich is shaping the future of underwriting.

Telstra: Aligning leadership and AI strategy for reinvention at scale 

Telstra, Australia’s largest telecommunications provider, is embedding AI across its entire business to drive both customer engagement and operational efficiency. Recognizing that AI adoption must be a company-wide effort, Telstra has taken a CEO-led approach to AI strategy, ensuring alignment between business and IT leaders. 

Through its AI Academy, employees at all levels gain hands-on AI experience, and with more than 21,000 employees using Microsoft 365 Copilot, this demonstrates how AI is being woven into daily workflows. By embedding AI across its operations—from network management to customer support—Telstra is showing how leadership alignment and strategic implementation can drive AI-powered reinvention at scale.

Coles: AI-powered workforce enablement and operational agility 

As one of Australia’s largest grocery retailers, Coles is using AI to transform both customer experiences and workforce efficiency. With 109 billion daily AI-powered demand predictions across its supply chain, the company is embedding AI into decision-making at every level. 

Coles has deployed machine vision and AI-powered checkout solutions that have saved customers an estimated 400,000 hours annually, reducing friction at checkout while improving efficiency. The company also invested in AI literacy across its workforce, redesigning roles and providing AI-powered decision support for employees in stores and supply chain operations. By integrating AI into its workforce strategy, Coles has gone beyond enhancing operational efficiency, empowering employees to focus on higher-value work while improving customer service. 

Driving competitive advantage in the AI era 

Leaders in AI-powered reinvention aren’t just reacting to change; they are taking bold and decisive action to redefine the future of their organizations. These organizations have moved beyond laying the groundwork for success, they are rapidly experiencing real business value and have turned AI into a competitive advantage.  

AI reinvention is no longer optional. The question is: How will your organization turn AI into a lasting advantage? 

Find the resources to support your AI journey:  

• Explore Microsoft’s AI solutions.
• Advance your AI transformation with AI business resources.
• View more AI Challengers executive insights.
• Listen to the Leading the Shift podcast to hear advice from leaders navigating the AI platform shift.

Microsoft AI solutions

scale AI confidently across your organization, wherever you are in your AI journey

Explore more

¹ Gartner Article, What’s Driving the Hype Cycle for Generative AI, 2024, Arun Chandrasekaran, November 14, 2024.

GARTNER® is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. 

²Accenture Research Report, Reinventing enterprise models in the age of generative AI, Karalee Close and Kestas Sereiva, March 17, 2025.

The post The AI platform shift is here—Are you ready for reinvention? appeared first on The Microsoft Cloud Blog.

Now, the focus is starting to shift. Productivity gains are just the beginning of a broader transformation—one that goes beyond efficiency to reshape industry processes, decision-making, and customer experiences.

ROI of AI

How can industry leaders increase ROI?

Watch the video series

True AI transformation requires an industry perspective

In our conversations with customers, many are asking about the next wave of AI. They’re ready to expand beyond general AI applications and invest in solutions tailored to their specific challenges. While organizations recognize AI’s value and potential, it must address industry-specific needs to deliver the biggest results. 

Take healthcare, for example, where engaging with patients requires sensitivity, data privacy, and personalized care. That’s very different from retail, where personalization is all about tailored shopping recommendations and seamless experiences.

The same contrast exists in manufacturing and transportation. Manufacturers focus on optimizing production lines for efficiency and quality, while fleet operations prioritize logistics, route optimization, and fuel costs.

These differences show why AI adoption is moving beyond general-purpose tools to industry-specific solutions that drive even greater impact. In our recent video series on the Return on Investment (ROI) of AI, we explore this trend, real-world use cases, and how AI is transforming industries like financial services and retail. These insights reflect what I’m seeing in conversations with customers about the changing AI landscape.

Where to invest in AI for maximum impact

Today’s leaders are looking beyond AI for productivity and asking a bigger question: Where should we invest next to drive business growth? The key is to align AI investments with mission-critical priorities.

So, is the AI for industry buzz real, and is it worth the investment? The answer is yes—here’s why:

• Industry-specific AI solutions tackle complex challenges—such as regulatory compliance in financial services, seamless omnichannel shopping experiences in retail, and asset troubleshooting in manufacturing.  At Microsoft, we’ve worked with thousands of customers to identify industry use cases where AI delivers meaningful business results. Building on these insights, we offer customizable AI agents designed to accelerate time to value for our customers.
• Customizable AI agents in Microsoft Copilot Studio help businesses tailor AI to their needs. Agent Builder, a feature within Copilot Studio, simplifies customization with industry-specific knowledge and low-code tools. In addition, our customers have access to a wide range of adapted AI models to accurately and effectively address their unique needs.
• AI models, developed in collaboration with partners, and built for specific industries make adoption easier across every sector and region. These fine-tuned models are trained on industry data to support business-critical use cases.

To see industry-specific AI in action, let’s explore key use cases in financial services, retail, manufacturing, and healthcare.

Driving growth in financial services with AI

Financial services organizations are leading the way in AI adoption, and it’s paying off. They’re realizing a 4.2 times average ROI on generative AI initiatives¹—the highest across industries. Discover how PicPay uses Microsoft AI to answer product and service questions quickly and securely.

Key use cases for AI in finance industry include:

• Banking: AI enhances customer interactions, improves fraud detection, and streamlines meeting preparation.
• Insurance: AI speeds claims processing and resolution, identifies upsell opportunities, and improves customer engagement.
• Capital markets: AI personalizes client presentations, generates predictive insights, and accelerates research.

Watch the video to explore AI business transformation in financial services.

Retailers solve complex challenges with AI

Retailers are realizing a 3.6 times ROI on generative AI initiatives,² and some are tackling customer acquisition, profitability, supply chain reliability, and data complexity. Learn how ASOS, a British online fashion retailer, uses Azure AI Foundry to surprise and delight young fashion lovers with engaging, inspirational experiences.

Key use cases for AI in retail industry include:

• Personalized Shopping Agent engages in natural language conversations, delivering tailored recommendations and assisting with specific requests.
• Store Operations Agent integrates product search, inventory, orders, omnichannel pricing, and incident management into existing applications.
• AI-powered insights help retailers create targeted marketing campaigns that boost engagement and increase sales. See how Microsoft Cloud for Retail connects customers, employees, and data.

Watch the video to see why the retail industry is embracing AI.

How AI powers smarter manufacturing

Manufacturers are achieving a 3.4 times ROI on generative AI initiatives.³ They’re also using AI to speed time to market, streamline application lifecycle management, and simplify manufacturing processes. See how Schneider Electric addresses the company’s most pressing issues by innovating with Azure OpenAI Service.

Key use cases for AI in manufacturing industry include:

• AI-powered generative design accelerates product development by automating design processes, refining models in real time, and freeing teams to focus on manufacturability and compliance.
• AI-assisted coding helps developers write, debug, and optimize code faster, enhancing industrial software development and connected product functionality.
• AI-powered factory insights provide real-time data for root cause analysis, production loss reduction, and asset maintenance, boosting efficiency and safety.

Learn more about Microsoft technology in the manufacturing industry.

AI helps empower the healthcare workforce and enhance patient care

In healthcare, AI is transforming medical data management, personalizing clinician and patient experiences, and helping to improve patient outcomes—delivering a 3.3 times ROI on generative AI initiatives.⁴ See how AI innovation empowers healthcare teams to refocus on the clinician-patient connection at Northwestern Medicine, Overlake Medical Center & Clinics, and Atrium Health.

Key AI use cases for healthcare include:

• AI assistants help streamline clinical documentation, surface information, and automate tasks to improve efficiency, satisfaction, and patient care.
• Advanced healthcare AI models are designed to enhance disease detection, diagnostics, and treatment planning.
• Multimodal AI generates insights from unified healthcare data to identify care gaps faster for early intervention, develop more tailored care plans, improve the accuracy of diagnoses, and allocate hospital resources more effectively.

We’re here to help you drive AI success

Organizations that invest in industry-focused AI applications and stay current with AI industry trends are realizing the greatest ROI with AI. We’re here to help you take action now and position your business for innovation, efficiency, and competitive advantage.

Watch the ROI of AI video series to learn more about AI ROI.

^{1, 2, 3, 4} IDC InfoBrief: sponsored by Microsoft, 2024 Business Opportunity of AI, IDC #US52699124, November 2024.

The post Beyond productivity: How industry-specific AI fuels growth appeared first on The Microsoft Cloud Blog.

The skills gap is widening, and it is our collective responsibility to bridge it. Business leaders and professionals are exploring ways to build and enhance critical skills within their teams, and Microsoft is leading the charge. 

In addition to launching ambitious skill-building initiatives such as the upcoming Microsoft AI Skills Fest, we’re also eager to spotlight innovative organization like Founderz, a groundbreaking online learning platform that has gone from a bold idea to a leader in AI skilling in just a few years. Their story is worth sharing not only because of their emerging role in ensuring the workforce is prepared for the future, but because it’s a testament to the power of innovation, perseverance, and the impact of just one company believing in a vision.  

One “yes” can change everything 

Co-founders Anna Cejudo and Pau Garcia-Mila had a simple but powerful idea: what if online business education could capture the depth, collaboration, and networking of the world’s top business schools—but in a way that was scalable, accessible, and built for the AI-powered future? 

“We felt there is still a big gap between the experience we have when we go to an on-site business school—where you meet the best professors, the best content—and the way we learn online,” explained Pau Garcia-Mila, Co-Chief Executive Officer and Co-Founder.

They spent years building the technology behind Founderz, investing in AI-powered learning models that would make online education engaging, interactive, and deeply effective. But by 2023, they were at a breaking point. Funding had run out, and they needed a breakthrough.

In a final effort, they sent three emails to companies at the forefront of AI—hoping one of them would see what they saw: a future where AI education was truly transformative. Only Microsoft responded. 

Founderz was accepted into the Microsoft for Startups Founders Hub, which provided access to industry-leading AI services, expert guidance, and essential technology to supercharge their growth. Entering the Microsoft for Startups Founders Hub at Tier 4 also unlocked USD150,000 in Microsoft Azure credits, enabling the company to scale their platform, refine their AI-powered learning model, and start delivering high-quality AI education at scale. 

Today, Founderz itself is helping change lives.

“In 2024, we had roughly 10,000 users learning AI with Founderz,” recalled Anna Cejudo, co-CEO and co-founder. “By the end of the year, we were at 50,000. And now, by the beginning of March, we reached 100,000 users training in AI. The real revolution isn’t AI—it’s education,” added Anna, highlighting the fundamental role of learning in driving change. They’ve also become a Microsoft Training Services Partner, making the decision to offer training exclusively on Microsoft AI technology.  

AI skilling done differently 

Founderz is far from being just another online course provider. Pau, Anna, and their growing team are rethinking how AI is taught by blending structured learning with real-time collaboration, personalized AI-powered support, and a hands-on approach to applying AI in real-world scenarios. 

At the heart of the Founderz learning experience are high-quality, cinematic-style lectures. Unlike traditional online courses that rely on static, slide-based presentations, Founderz films its courses in a MasterClass-style format, featuring top AI experts from Microsoft and beyond. This approach allows learners to hear directly from the people shaping the future of AI. 

Expert content in student’s native language 

But Founderz goes beyond delivering engaging content—it’s about accessibility. A core mission is to provide top-tier AI education in students’ native languages. Next-generation lip-syncing technology ensures that learners experience AI-powered content seamlessly, without language barriers.

“I can watch a Responsible AI class from Microsoft’s Mihaela Vorvoreanu in my language,” says Pau Garcia-Mila. “She speaks in first person, saying, ‘When we built this Responsible AI model at Microsoft.’ I’d love to be able to learn from the source in my mother tongue.”

Small group collaboration  

While putting “thousands of people in a virtual room” enables Founderz to pay the best professors at a lower per-student cost, the company also sought to build a platform that supported meaningful collaboration. AI-powered tools match students into small, diverse learning circles, where they tackle real-world AI challenges, share insights, and build lasting professional networks. 

Multilingual student support around the clock 

To further support its rapidly growing user base, Founderz’ team of AI-powered teaching assistants or “Fellows” provide real-time multilingual support, allowing learners to receive help in their native language while keeping operations efficient for the human support team.  

As Pau Garcia-Mila explained, “The Fellows are speaking any language in the world, but our human team sees everything in English,” ensuring seamless interaction across different languages. 

These AI-powered teaching assistants provide real-time feedback, analyze student interactions, and escalate complex questions to human instructors when needed. Whether a learner is a complete beginner or an experienced professional, Founderz ensures they receive the support they need to succeed. 

Education means opportunity

Founderz’ journey from a bold idea to an emerging AI skilling leader is proof that AI education is more than just accessing information—it’s about unlocking potential. Its pioneering efforts continue to inspire countless organizations to embrace AI education and drive meaningful transformation worldwide.

As Anna Cejudo puts it, “Education means opportunity, and if we can deliver high-quality education to as many people as possible, we’re giving them the chance to change their lives and control their futures.” 

At Microsoft, we couldn’t agree more. Microsoft’s mission has always been about creating technology that empowers others to innovate and solve real-world problems. This holds true in the age of AI. Our commitment to skilling is not just about technology adoption, it’s about people development. Over the past year, Microsoft has trained and certified over 23 million people across more than 200 countries in digital skills, with the goal of ensuring that everyone has the opportunity to succeed in a world where AI will be commonplace and a natural extension of everything we do.  

Unlock the future—Join the Microsoft AI Skills Fest 

As part of our ongoing investment in global skilling, Microsoft is bringing AI skilling to everyone with the Microsoft AI Skills Fest—a global event designed to bring together customers and partners, tech and business professionals, and AI enthusiasts to help build the skills we all need to thrive in the AI economy.  

Beginning April 8, 2025, we’re kicking off the fun with an attempt to set a GUINNESS WORLD RECORDS™ title for the most users to take an online multi-level artificial intelligence lesson in 24 hours. After that, we’re inviting everyone to continue building their skills with 50 days to explore Microsoft’s AI apps and services.  

Let’s make history together.

Microsoft AI Skills Fest

A global event designed to bring learners across the globe together to build their AI skills

Register now

¹IDC InfoBrief: sponsored by Microsoft, 2024 Business Opportunity of AI, IDC# US52699124, November 2024.

The post Founderz: Transforming AI education to unlock opportunity appeared first on The Microsoft Cloud Blog.

The recent Microsoft AI Tour in New York City, New York, brought together industry leaders, technologists, and innovators to explore the transformative impact of AI. The event highlighted the remarkable progress companies are making in leveraging AI to drive meaningful business outcomes, enhance employee experiences, and create new value for customers.

A standout example of AI’s impact is GitHub Copilot, an AI-powered coding assistant developed by GitHub and OpenAI. GitHub Copilot was the first Copilot solution that we built using transformational large AI models, and it provides an AI pair programmer that works with all popular programming languages and dramatically accelerates developer productivity.

Over 70,000 organizations are using GitHub Copilot today to supercharge the productivity of their developers. Accenture is one example, its developers now retain over 88% of the code suggested by GitHub Copilot as part of their solutions. They recognized an 84% increase in successful builds with Copilot’s help, and 67% used the tool at least five days a week. This external study contains the Accenture stat: randomized controlled study with Accenture, developers retained 88% of the code suggested by Copilot, recognized an 84% increase in successful builds with Copilot’s help, and 67% used the tool at least five days a week.

Beyond GitHub Copilot, Microsoft’s diversified development platforms are enabling businesses to integrate AI seamlessly into their workflows. Organizations at various stages of AI adoption are finding ways to implement AI that fit their specific needs. AI adoption is not a one-size-fits-all process, and companies at all stages can achieve meaningful results.

In fact, perhaps the most exciting part of the Microsoft AI Tour stop in New York City was hearing about real-world AI success stories—from organizations using AI to streamline operations to those enhancing customer experiences in ways previously unimaginable. These companies serve as proof that AI is more than just a buzzword; it’s a powerful tool that is transforming industries today.

BNY: Redefining banking with enterprise AI

BNY, America’s oldest bank, is driving innovation at the intersection of technology and financial services by harnessing AI solutions like GitHub Copilot and Microsoft 365 Copilot to help transform operations and company culture.

One example is the bank’s enterprise AI platform, Eliza, which currently supports over 40 AI solutions, touching almost every part of the bank’s operations. Built with responsible AI guardrails, Eliza leverages advanced large language models including OpenAI’s GPT-4 to empower employees to innovate, streamline workflows, and deliver enhanced value to clients. Every bank employee has access to the Eliza virtual assistant, with more than 50% using it regularly and 15% of those proficient enough to build agents of their own.

The impact of AI can be seen across the organization, from detecting anomalies in their securities services business to powering predictive trade analytics that enable clients to identify settlement risks early and mitigate late settlements. AI is also powering BNY’s company culture. Having introduced GitHub Copilot in 2024, over 80% of their developer community now relies on it daily, increasing the speed of code development. Now, the bank is bringing the power of AI to employees across the organization by rolling out Microsoft 365 Copilot licenses and continuing to build on their AI skilling, solutions, and agents.

AvePoint: Accelerating innovation and customer experience

As a global leader in data security, governance, and resilience, AvePoint has embraced AI to enhance its operations, streamline workflows, and drive business outcomes.

One of the key areas where AvePoint has leveraged AI is in software development. By utilizing GitHub Copilot, the company has accelerated its development lifecycle, reducing time to market for new features and ensuring continuous innovation. This AI-powered approach allows developers to write code more efficiently, automate repetitive tasks, and focus on higher-level problem-solving so they can keep innovating and stay ahead of the competition. In fact, AvePoint just introduced the first-ever Copilot analytics tool, helping organizations assess AI adoption across departments and against industry peers so they can tailor training, optimize outcomes, and prove ROI.

AvePoint also used AI to develop ChatAVPT, an internal Microsoft Azure AI-powered support tool that provides real-time information and guidance to employees. Beyond development, AI has transformed productivity for every team at AvePoint. Microsoft 365 Copilot has proven to be a game-changer, particularly for knowledge workers and customer-facing teams. Employees can quickly retrieve relevant information, streamline collaboration, and manage customer interactions more effectively.

The company continues to refine its AI strategy, ensuring sustainable adoption through continuous training, information sharing among teams, and robust data security and governance. AvePoint’s journey with AI not only enhances the organization internally but also solidifies its role as a trusted advisor for AI implementation, helping organizations worldwide safely and effectively utilize this transformative technology.

Nasdaq: Redefining corporate governance and boardroom experience

Nasdaq is a global technology-driven financial powerhouse, operating over 130 markets and pioneering AI innovations to enhance efficiency, integrity, fairness, and liquidity in the financial ecosystem. Nasdaq had mastered algorithmic AI, but generative AI’s rapid evolution raised new challenges—adoption speed and, more critically, trust in its decisions. 

In addition to being the listing exchange to the world’s most innovative companies, Nasdaq also provides leading solutions and insights for companies as they navigate the evolving market landscape, strengthening investor engagement and board governance.

Nasdaq has integrated AI into two critical areas: internal operations and customer-facing products. Internally, AI became an assistant for employees, optimizing workflows and boosting efficiency. Teams used GitHub Copilot for coding, allowing AI to assist in unit testing and code reviews. Microsoft’s AI-powered tools helped automate document generation, translation, and communications, saving time for engineers and business leaders alike. 

Nasdaq also continues to incorporate AI technology into its suite of corporate solutions, enhancing client experience and providing actionable insights. One area of focus is reshaping corporate governance with its industry leading Nasdaq Boardvantage® solution. Using AI-powered tools, Nasdaq Boardvantage ® equips corporates and board members with the abilities to automate document management and summarize lengthy reports into key insights, optimizing decision making. The integration of AI not only enables customers to potentially save more than 100 hours of manual work each year, but it’s accuracy range of 91% to 97% allows users to deliver high-quality outputs that exceed generic summarization models.

Nasdaq is further innovating in AI for boards by automating the minutes process, which will save governance professionals significant time both pre- and post-meeting. Additionally, Nasdaq is developing an AI assistant for board members, enabling them to engage and ask questions about the information they have access to. This will help them better prepare and facilitate more focused conversations in the boardroom.

Nasdaq is on a journey to explore responsible AI innovation for its own operations, the community it serves, and the wider global financial ecosystem.

FM: Using AI to predict the future and prevent business risks

At FM, one of the world’s leading commercial property insurers, the goal is simple yet monumental: to see the risks that others don’t and try to prevent losses before they happen. To do that, FM leverages AI. While the company has been working with predictive analytics and AI for over 15 years, the advent of ChatGPT and tools like Microsoft Copilot was transformative.

FM insures large commercial properties where risk assessment is critical. Engineers combine data from decades of expertise evaluating sites, with predictive analytics and other AI-powered tools in Azure, to analyze thousands of locations worldwide. The quantity and quality of FM’s data enables its engineers to identify hazards that others may miss and to recommend preventative measures before disaster strikes.

Today, AI is being woven into core decision points, combining technology with employee judgment. This holistic approach ensures that AI is not just used in isolated processes but is woven into the fabric of FM’s operations, enhancing overall productivity and decision-making. Microsoft Copilot has been rolled out across the organization, enhancing productivity in everything from email management to risk assessments.

The results speak for themselves. AI-powered automation has significantly reduced the time employees spend searching for critical information, giving them instant access to insights through a retrieval-augmented generation (RAG) solution in Azure.

More importantly, AI optimization has enabled FM to increase the impact of its risk mitigation strategies, helping clients reduce costly incidents more effectively.

For FM, AI isn’t just a tool—it’s a competitive advantage. By combining sound judgment and deep industry expertise with cutting-edge technology, the company is redefining risk management.

AI for every organization: Navigating the journey with confidence

The Microsoft AI Tour in New York City made one thing clear: AI is for every organization, in every industry, at every stage of adoption. Whether you’re just starting or scaling AI enterprise-wide, the opportunities are limitless, and you don’t have to navigate it alone. Microsoft is here to help integrate AI responsibly, securely, and at scale.

The AI revolution is happening now, and every organization has a place in it. The question isn’t if AI will shape the future of business—it’s how your organization will embrace it to unlock new opportunities, fuel innovation, and drive lasting impact.

Find the resources to support your AI journey

• Explore Microsoft’s AI solutions.
• Advance your AI transformation with AI business resources.

Microsoft AI

Achieve new productivity levels and learn how to securely integrate AI for all your business needs

Explore solutions

The post AI for everyone: Transforming business at every stage of the journey appeared first on The Microsoft Cloud Blog.

In a recent playbook, Accelerating sustainability with AI: Innovations for a better future, we outlined our five plays to advance sustainability, providing insight into our work at Microsoft and how business leaders around the world are creating a new path forward.

The reason to choose AI for this work? It has three unique abilities that can help organizations overcome key bottlenecks. AI can: (1) measure, predict, and optimize complex systems, (2) accelerate the development of sustainability solutions, and (3), empower the sustainability workforce. These capabilities make AI a critical enabler of progress.

Accelerate sustainability with AI

Explore actions and innovations

Get the playbook

How can business leaders harness AI to accelerate resilience, efficiency, and sustainability in their organization?

I recently met with Lindsay Myers, Vice President, Commercial Cross Solutions at Microsoft, who leads our Commercial Sustainability business, to talk more about this guidance and how business leaders can harness AI to accelerate resilience, efficiency, and sustainability in their organizations.

Toby: Hi Lindsay, before we dive into the playbook, can you share your thoughts on how organizations are adopting AI to address these interconnected goals of resilience, efficiency, and sustainability?

Lindsay: It’s important to highlight how interconnected these goals are in many organizations today. We often see initiatives started by sustainability teams result in significant cost savings for organizations. This might be efficiency gains for existing operations, or entirely new approaches like digital twins that enable rapid iteration before initial prototypes are built. When companies choose an approach like digital twins, it can reduce the materials needed for physical models—saving time and costs—while improving resilience through agility.

Explore customer and partner examples of AI innovation

Toby: Can you give me some examples of customers and partners who are doing this work today?

Lindsay: AI is making a real difference in helping organizations prepare for climate risks, innovate for maximum efficiency, and solve complex challenges. For example, in Germany, where urban flooding is a major concern, cities are searching for innovative ways to mitigate the impacts of heavy rainfall and its impact on communities and infrastructure. Esri, a global leader in geographic information system (GIS) software is helping cities unlock the power of digital twins driven by geospatial data and AI. This solution helped the City of Stuttgart cut its reality mapping time from five months to 24 hours, enabling local government and public safety staff to understand potential impacts and make decisions faster.

Stadtwerke München (SWM), the municipal utilities company serving Munich, has made it its mission to drive every aspect of the city’s energy, heating, and mobility transition forward. To accomplish this, it needed maximum-efficiency processes, such as predictive infrastructure maintenance and optimized operations planning. It has turned to Microsoft Azure and Azure IoT to efficiently provide power to its public transport fleet of 100% electrified vehicles.

Unlock new possibilities with data and AI

Toby: Those are inspiring examples; they give a real sense of AI’s potential. The playbook outlines 5 plays, or ways that organizations can unlock this potential. Could you describe some of these?

Lindsay: Let’s talk first about the first two plays and how they work together.

Investing in AI solutions to measure, predict, and optimize complex systems can drive both innovation and efficiency, helping companies focus on the most strategic priorities for business resilience.

For example, Mitiga Solutions, a global leader in climate risk intelligence and a Microsoft Climate Innovation Fund investment leverages AI, high-performance computing, and advanced climate models to predict the impact of physical climate hazards on any asset, anywhere in the world, from now until the end of the century. This helps infrastructure, commercial real estate, insurers, and companies across industries comply with climate disclosure regulations while proactively strengthening their resilience.

 With AI-powered solutions, businesses can swiftly tackle complex challenges across their own supply chains and for their customers. This not only positions companies as leaders in sustainability but can also unlock new market opportunities and enhance their competitive advantage.

It’s crucial to build a strong digital and data infrastructure to maximize AI’s potential—your AI is only as good as the data it relies on. That’s why having high-quality, representative data and the right processing infrastructure is essential. It enables teams to make informed decisions and provides accurate input for AI applications.

For many of our customers and partners, these two plays are closely linked. The foundational work involves bringing all the necessary data together in one place, like in Microsoft Fabric. What’s amazing about Fabric is it lets you reason over both internal and external data, which is incredibly helpful for things like regulatory reporting.

Once your data is set up properly, your team can use solutions such as Microsoft Copilot to ask questions of their data, generate reports, and learn from industry best practices. Copilot streamlines these tasks, reducing manual work and enabling practitioners to focus their time on new strategic initiatives.

Minimize resource use in AI design and operations

Toby: When I talk to organizations looking to adopt AI, customers and partners often want to learn more about what Microsoft is doing to reduce the environmental impact of AI. Could we talk a bit about that?

Lindsay: Absolutely. Let’s talk about play 3 and how that relates to our work at Microsoft.

AI has its own energy and water demands, so it’s crucial to minimize resource use and move toward powering AI systems with carbon-free energy. In addition, since AI infrastructure is often concentrated in specific regions, it is essential to support the local communities where datacenters are located. At Microsoft, we’re innovating across three critical areas to continue to advance the sustainability of cloud and AI services:

1. Optimizing datacenter energy, water, and waste efficiency while protecting ecosystems.
2. Advancing low-carbon materials and creating global markets to promote industry-wide sustainability.
3. Enhancing the energy efficiency of AI and cloud services.

Many of our customers and partners want to know not only what we’re doing, but also what they can do to manage resource use. Our Well-Architected Framework sustainability guidance provides a great starting point, as well as small language models that perform specific tasks using fewer resources than larger models.

Build workforce capacity to use AI for sustainability

Toby: The pace of innovation in this domain is incredible. Is there anything more you’d like to add in terms of how your team helps leaders move their ideas from concept to implementation?

Lindsay: The way forward on this journey is through people working together, and this is an area where we can help customers and partners make progress. Let’s talk about the final play first:

For companies to be able to put AI’s three game-changing capabilities to work, they must have skills to use AI effectively. Microsoft has training programs focused on building AI fluency, supporting nonprofits, businesses, and governments in advancing workforce AI technical skills and promoting safe and responsible AI development.

Microsoft’s AI learning hub can empower customers on their AI transformation journey, and customers can also use Copilot to connect with their data in Microsoft Cloud for Sustainability and sustainability data solutions in Microsoft Fabric. With these tools, employees can quickly gain insights, understand gaps, and identify what’s needed to move initiatives forward.

Toby: Thank you, Lindsay!

Transform business using generative AI

For business leaders wanting to put these plays in action and guide their organizations through effective AI adoption, we’ve published the 2025 AI Decision Brief: Insights from Microsoft and AI leaders on navigating the generative AI platform shift. This report is packed with perspectives from top Microsoft leaders and insights from AI innovators, along with stories of companies across industries that have transformed their businesses using generative AI.

2025 AI Decision Brief

Advance AI and drive consistent AI value in your org

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The post Harnessing AI for resilience, efficiency, and sustainability appeared first on The Microsoft Cloud Blog.

In the 2025 AI Decision Brief, we share findings on how AI is rapidly evolving into what economists call a general-purpose technology. In this report, top Microsoft leaders and AI innovators say they expect generative AI to revolutionize operations, enable new and disruptive business models, and reshape the competitive landscape.

As AI grows more powerful and efficient, businesses have the opportunity to use these solutions to enhance employee productivity and well-being, improve customer engagement, and optimize business practices. In our latest webinar, Transform Your Business with Microsoft AI, I share real-world examples from leading organizations that are already driving value with AI. Plus, learn about three trusted Microsoft AI platforms designed to help you reap the benefits of this transformative technology.

At Microsoft, we’re here to help you navigate your AI transformation journey. Keep reading to find out how.

4 business benefits of AI transformation

When you apply AI to your business transformation, you’ll enjoy meaningful benefits related to employee experiences, customer engagement, business processes, and innovation. At Microsoft, we’re working with thousands of customers across industries and around the world to help them pursue these opportunities and realize the value of AI. 

Organizations are driving four major business outcomes with Microsoft AI.

1. Elevate employee experiences and boost productivity

One of the primary reasons organizations across all industries are tapping into AI is to increase productivity. According to an IDC study, 92% of surveyed companies said they’re using AI for productivity, and 43% said that productivity use cases currently provide their greatest return on investment.¹  

Plus, our customers tell us that by automating repetitive, mundane tasks, employees are freed up to focus on more complex and creative work. This shift makes the work environment more stimulating for teams and boosts their job satisfaction, which ultimately results in increased employee retention. 

2. Reinvent customer engagement

Organizations are using generative AI to help personalize customer experiences and improve customer service. These companies are tapping into AI-powered tools to:

• Provide service agents with tailored insights.
• Create customized content tailored to targeted customer segments.
• Streamline operations so customers can get information faster.
• Craft experiences that delight customers while lightening the load for employees.  

AI solutions also help organizations deliver faster customer service, leading to an increase in both customer and agent satisfaction. For service agents, sourcing the right information from a vast catalog of material can take a long time. Generative AI puts the necessary data right at their fingertips, saving them thousands of hours.

3. Streamline business processes

Many Microsoft customers are using generative AI solutions to transform operations and improve efficiency across various business functions. For example, IT teams are using AI to automate responses to routine tasks while keeping employees happy. Human resources departments are tapping into these solutions to speed up the hiring process, while financial teams use AI for fraud detection and risk assessments. 

4. Spark innovation

Organizations across industries are using generative AI to fuel innovation and speed up creative processes and product development. Using AI tools, teams can explore new ideas, design prototypes, and iterate quickly, cutting down the time it takes to get to market.  

For example, the automotive industry is using AI to design more efficient vehicles. And in healthcare, radiologists are using AI solutions to more quickly and accurately interpret detailed images.

All of these examples show the value of AI and the real outcomes that organizations are driving with these innovative capabilities. Check out more customer stories that illustrate how companies are transforming with AI.

Now let’s dive into how Microsoft AI can bring all of this to life for your organization.

Accelerate your AI business transformation with three trusted platforms

We offer three Microsoft AI platforms to help you transform your business, drive impact, and achieve more—Microsoft Copilot, Copilot devices, and the Copilot and AI stack.  

1. Microsoft Copilot

Driving AI transformation starts by bringing AI into the flow of work for every one of your employees. That’s exactly what Microsoft Copilot does. Copilot is rapidly becoming an essential solution for getting work done. 

Copilot streamlines universal tasks for every employee, from drafting emails to generating reports. This ensures that efficiency isn’t just a goal, but a standard practice. Whether it’s simplifying complex documentation for operations employees, enhancing risk management with real-time insights for financial analysts, or accelerating the onboarding process for service agents, Copilot is the intelligent assistant for the modern workforce. 

2. Copilot devices

In 2024, we introduced Copilot+ PCs—a new class of Windows PCs designed for AI transformation. These are the fastest, most intelligent Windows PCs ever built. Copilot+ PCs allow users to accomplish things you can’t on any other PC. These devices come with AI tools that enhance video calls, refine writing in documents, and supports advanced features, like real-time translations and image generation. 

Plus, this January, we introduced new Surface Copilot + PCs for Business. These devices transform the employee experience and help amplify efficiency and creativity at work.

3. Copilot and AI stack

The most advanced platform for creating AI solutions, the Copilot and AI stack empowers users to build more ambitious products by using advanced technology at each layer of the stack, including:

• Developer tools: The Copilot and AI stack begins with the world’s most-loved developer tools. Microsoft Copilot Studio is now used by more than 100,000 organizations to build AI solutions. The Visual Studio family of products, which includes both Visual Studio and Visual Studio Code, are among the most widely used development tools in the world, with more than 40 million monthly active developers. And GitHub, used by more than 100 million developers, is the home of open source. 
• AI management: To help organizations simplify and scale their AI workloads, we recently announced the availability of Azure AI Foundry. Azure AI Foundry enables organizations to design, customize, and manage the next generation of AI apps and agents at scale. 
• Data and analytics: Of course, all of this AI innovation is built on a foundation of data. If you want to use your data to gain a competitive edge, you need data solutions that are comprehensive, secure, and connected. Microsoft Azure provides a comprehensive suite of data services that are secure by default and seamlessly integrated, allowing organizations to effectively manage and use their entire data estate.

Transform with trusted AI

When it comes to AI transformation, we believe that trust is the most important element of all. At Microsoft, we’re focused on helping customers use and build AI that is secure, safe, and private.  

All of this innovation is grounded in our mission to empower every person and every organization on the planet to achieve more. And we want to help your organization accelerate your AI transformation with the Microsoft Cloud.  

To explore how Microsoft AI is driving real business outcomes for leading organizations, watch the 25-minute on-demand webinar.

Transform Your Business with Microsoft AI

Watch the webinar

If you’re ready to take the next steps in your AI business transformation, check out Microsoft AI to get started today. 

¹IDC InfoBrief, sponsored by Microsoft, 2024 Business Opportunity of AI, IDC# US52699124, November 2024.

The post 4 real business benefits of Microsoft AI appeared first on The Microsoft Cloud Blog.

One of the highlights of my career has always been connecting with customers and partners across industries to learn how they are using technology to drive their businesses forward. In the past 30 years, we’ve seen four major platform shifts, from client server to internet and the web to mobile and cloud to now—the next major platform shift to AI.

As today’s platform shift to AI continues to gain m omentum, Microsoft is working to understand just how organizations can drive lasting business value. We recently commissioned a study with IDC, The Business Opportunity of AI, to uncover new insights around business value and help guide organizations on their journey of AI transformation. The study found that for every $1 organizations invest in generative AI, they’re realizing an average of 3.7x return—and uncovered insights about the future potential of AI to reshape business processes and drive change across industries. 

Today, more than 85% of the Fortune 500 are using Microsoft AI solutions to shape their future. In working with organizations large and small, across every industry and geography, we’ve seen that most transformation initiatives 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, delighting 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.

In this blog, we’ve collected more than 200 of our favorite real-life examples of how organizations are embracing Microsoft’s proven AI capabilities to drive impact and shape today’s platform shift to AI. We hope you find an example or two that can inspire your own transformation journey.

IDC InfoBrief: sponsored by Microsoft, 2024 Business Opportunity of AI, IDC# US52699124, November 2024 

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:

1. Access Holdings Plc adopted Microsoft 365 Copilot, integrating generative AI into daily tools and, 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.
2. Adobe is connecting Adobe Experience Cloud workflows and insights with Microsoft 365 Copilot to deliver generative AI-powered capabilities that enable marketers to increase collaboration, efficiency, and creativity.
3. Amadeus empowers its teams to focus their time and skills on value-added tasks with Microsoft 365 Copilot by summarizing email threads, chat, or transcripts, and summing up information from diverse sources.
4. ANZ has invested in Microsoft 365 Copilot, GitHub Copilot, and Copilot in Microsoft Edge to boost productivity and innovation across its workforce. 
5. Asahi Europe & International (AEI) has adopted Microsoft 365 Copilot, saving employees potentially 15% of time previously spent on administrative tasks.
6. 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.
7. Axon Enterprise developed a new AI tool with Azure OpenAI Service called Draft One, resulting in an 82% decrease in time spent on reports, which freed up officers to engage more with their community.
8. Aztec Group enhanced productivity and client experience by trialing Microsoft 365 Copilot with 300 staff, uncovering “unlimited” use cases and plans for a wider rollout.
9. Bader Sultan & Bros. Co. W.L.L implemented Microsoft 365 Copilot to enhance employee productivity and speed up customer response times.
10. Bancolombia is using GitHub Copilot to empower its technical team, achieving a 30% increase in code generation, boosting automated application changes to an average of 18,000 per year, with a rate of 42 productive daily deployments. 
11. BaptistCare 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.
12. Barnsley Council was recognized as “Double Council of the Year in 2023” for its implementation of Microsoft 365 Copilot, which modernized operations and reduced administrative tasks, leading to improved job satisfaction and increased creativity.
13. BlackRock purchased more than 24,000 Microsoft 365 Copilot licenses spanning all employees, functions, and locations, helping improve the Copilot experience, including co-developing new features and functions.
14. British Heart Foundation is testing Microsoft 365 Copilot and in its initial test, users estimate that Microsoft 365 Copilot could save them up to 30 minutes per day.
15. Buckinghamshire Council deployed Microsoft 365 Copilot with staff reporting productivity improvements, quality enhancements, and time savings which are enabling the different teams to do more with less. 
16. Campari Group adopted Microsoft 365 Copilot to help employees integrate it into their workflow, resulting in time savings of about two hours a week from the support of routine activities such as email management, meeting preparation, content creation, and skill acquisition.
17. Capita is using GitHub Copilot for productivity improvements as well as improvements in developer satisfaction, recruitment, and retention.
18. CDW used Microsoft 365 Copilot to improve work quality for 88% of users, enabling 77% to complete tasks faster, and increasing productivity for 85% of users.
19. Chi Mei Medical Center is lightening workloads for doctors, nurses, and pharmacists with a generative AI assistant built on Azure OpenAI Service. 
20. 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.
21. Enerijisa Üretim has adopted Microsoft 365 Copilot to streamline meeting summaries, reformat documents, and compile reports, enabling employees to concentrate on more strategic and fulfilling activities instead of spending six hours in meetings.
22. EPAM is deploying Microsoft 365 Copilot to consolidate information and generate content and documents. 
23. Farm Credit Canada implemented Microsoft 365 Copilot which resulted in time savings on routine tasks for 78% of users, with 30% saving 30 to 60 minutes per week and 35% saving over an hour per week, allowing employees to focus on more value-added tasks.
24. Finastra used Microsoft 365 Copilot to automate tasks, enhance content creation, improve analytics, and personalize customer interactions, with employees citing a 20% to 50% time savings.
25. Four Agency Worldwide increased employee productivity using Microsoft 365 Copilot to generate ideas for creative work and support administrative-heavy processes, data analysis, and report generation, allowing staff to focus on outreach and less time doing paperwork.
26. Goodwill of Orange County developed an AI-powered app using Azure AI capabilities to help more people, including those with developmental, intellectual, and physical disabilities, work in unfilled e-commerce positions.
27. Honeywell employees are saving 92 minutes per week—that’s 74 hours a year! Disclaimer: Statistics are from an internal Honeywell survey of 5,000 employees where 611 employees responded.
28. Insight employees using Copilot are seeing four hours of productivity gained per week from data summarization and content creation.
29. Joos uses Microsoft 365 Copilot to grow its brand with worldwide collaboration by streamlining meetings, optimizing presentations, and improving communications.
30. Kantar is harnessing the power of Microsoft 365 Copilot by reducing costly, time-consuming IT processes and boosting productivity for employees.
31. KPMG Australia is using Microsoft Azure OpenAI Service, Azure AI Search, and Microsoft 365 Copilot to perform advanced text analysis of dozens of client source documents to identify full or partial compliance, or noncompliance, in a fraction of the time required for manual assessments.
32. LGT is launching Microsoft Copilot LGT to improve efficiency, showing users save an average of an hour a week even in the pilot phase. 
33. Lotte Hotels & Resorts has been creating a new work culture that allows employees to work more efficiently and focus on the nature of the work by adopting Microsoft Power Platform for automation.
34. MAIRE is leveraging Microsoft 365 Copilot to automate routine tasks, saving more than 800 working hours per month, freeing up engineers and professionals for strategic activities while supporting MAIRE’s green energy transition by reducing their carbon footprint.
35. McDonald’s China chose Microsoft Azure AI, GitHub Copilot, and Azure AI Search to transform its operations, resulting in a significant increase in AI adoption, consumption, and retention from 2,000 to 30,000 employee transactions monthly.
36. McKnight Foundation adopted Microsoft 365 Copilot for all staff, saving time, increasing productivity, and freeing space to focus on strategic priorities.
37. Morula Health is using Microsoft 365 Copilot to enhance productivity, streamline medical writing tasks, and ensure data security, ultimately improving efficiency and client satisfaction. 
38. Motor Oil Group is achieving remarkable efficiency gains by integrating Microsoft 365 Copilot into its workflows, with staff spending minutes on tasks that used to take weeks. 
39. Nagel-Group uses Azure OpenAI Service to help employees quickly access information which saves time, creates efficiency and transparency, and leads to higher-quality answers overall.
40. National Australia Bank is leveraging Microsoft 365 Copilot for daily productivity and data analysis and insights and Microsoft Security Copilot to quickly analyze millions of security event logs and allow engineers to focus on more important areas.
41. NFL Players Association integrated Azure AI Services and Azure App Service into their video review process, reducing review time by up to 73%, significantly increasing efficiency and enhancing player safety through consistent rule enforcement.
42. O2 Czech Republic boosts productivity and streamlines meetings with Microsoft 365 Copilot, revolutionizing how information is shared and making automation a part of daily work.
43. Onepoint developed a secure conversational agent based on Azure OpenAI Service, which delivers productivity gains of between 10% and 15% across all business lines.
44. Orange Group has more than 40 use cases with Azure OpenAI Service and GitHub Copilot across business functions to support employees in their day-to-day tasks, enabling them to concentrate on higher value-added activities.
45. Oxford University Hospitals NHS Foundation Trust implemented Microsoft 365 Copilot to improve staff report productivity by saving one to two hours a week, or simple formatting tasks down to a matter of seconds, enabling more resources to deliver frontline services.
46. PA Consulting transformed its sales operations with Microsoft 365 Copilot, so its people can invest more time on the activities that have the biggest impact for clients and maximize the strategic value they provide. 
47. Petrobras used Azure OpenAI Service to create ChatPetrobras, which is streamlining workflows, reducing manual tasks, and summarizing reports for its 110,000 employees.
48. Petrochemical Industries Company automates work processes to save time with Microsoft 365 Copilot from weeks to days, hours to seconds.
49. 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.
50. Providence has collaborated with Nuance and Microsoft to accelerate development and adoption of generative AI-powered applications, helping improve care quality and access, and reduce physician’s administrative workloads. 
51. RTI International adopted Microsoft 365 Copilot to gain productivity wherever possible, allowing staff to focus on their areas of expertise, delivering even better science-backed solutions for clients.
52. Sandvik Coromant is using Microsoft 365 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 customers’ needs with analysis, creativity, and adaptability.
53. Sasfin Bank built a solution on Microsoft Azure that centralized 20,000 documents to analyze contract clauses and provide real-time snapshots, moving guesswork into data-driven decision-making.
54. Scottish Water implemented Microsoft 365 Copilot reducing mundane tasks to a minimum, and thus freeing up time for employees to work on the more meaningful tasks.
55. Shriners Children’s developed an AI platform allowing clinicians to easily and securely navigate patient data in a singular location, enhancing patient care, and improving the efficiency of their healthcare services. 
56. Siemens is leveraging Azure OpenAI Service to improve efficiency, cut downtime, and address labor shortages.
57. Softchoice employees are experiencing firsthand how Microsoft 365 Copilot can transform daily workflows, realizing productivity gains of 97% reduction in time spent summarizing technical meetings and up to 70% less time spent on content creation.
58. Syensqo utilized Azure OpenAI Service to develop a custom AI chatbot in three months, which improved their internal data management, decision-making, and overall efficiency.
59. Teladoc Health uses Microsoft 365 Copilot to revolutionize its telehealth operations, automating routine tasks, boosting efficiency, and increasing productivity.
60. Telstra developed two cutting-edge generative AI tools based on Azure OpenAI Service: 90% of employees are using the One Sentence Summary tool which resulted in 20% less follow-up customer contact and 84% of customer service agents using the Ask Telstra solution.
61. Topsoe achieved 85% AI adoption among office employees in seven months, significantly enhancing productivity and business processes.
62. 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.
63. Trace3 leveraged Microsoft 365 Copilot to streamline and enhance processes across the business and with clients, such as reducing the time it takes human resources (HR) recruiting managers to respond to applicants within a couple of days instead of several weeks.
64. Unilever is reinventing their marketing process with Copilot, saving time on briefing tasks, automatically pulling in relevant market data, content and insights to accelerate campaign launches. 
65. Uniper SE implemented Microsoft 365 Copilot to reduce time spent on manual and repetitive tasks, and help workers focus on more pressing work, such as developing enhanced solutions to speed up the energy transition.
66. Unum Group built a custom AI application to search 1.3 terabytes of data with 95% accuracy using Azure OpenAI Service. 
67. Virgin Atlantic adopted Microsoft 365 Copilot and GitHub Copilot and is seeing real business benefits, including productivity improvements, enabling new ways of working.
68. Visier built a generative AI assistant that leverages Azure AI and Azure OpenAI Services to deliver workforce analytics and actionable insights for more than 50,000 customers.
69. 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.
70. Zakladni Skola As Hlavkova adopted Microsoft 365 Copilot and saw a 60% improvement in handling administrative documents, decreased lesson preparation from hours to few minutes, increased inclusivity, and enhanced communication with students and parents.

Reinventing customer engagement

We’ve 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 and 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.

71. Absa has adopted Microsoft Copilot to streamline various business processes, saving several hours on administrative tasks each day.
72. Adobe leverages Azure to streamline the customer experience, harnessing the power of the connected cloud services and creating a synergy that drives AI transformation across industries.
73. Acentra Health developed Medscribe, a web application that uses Azure OpenAI Service to generate draft letters in a secure, HIPAA-compliant enclave that responds to customer appeals for healthcare services within 24 hours, reducing the time spent on each appeal letter by 50%.
74. Alaska Airlines is using Azure, Microsoft Defender, and GitHub to ensure its passengers have a seamless journey from ticket purchase to baggage pickup and started leveraging Azure OpenAI Service to unlock more business value for its customer care and contact centers.
75. Ally Financial is using Azure OpenAI Service to reduce manual tasks for its customer service associates, freeing up time for them to engage with customers. 
76. BMW Group optimizes the customer experience connecting 13 million active users to their vehicles with the MyBMW app on Azure, which supports 450 million daily requests and 3.2 terabyte (TB) data processing.
77. Boyner has tripled its e-commerce performance using Azure, seeing a rise in customer satisfaction, engagement, conversion rate, and revenue.
78. Bradesco Bank integrated Azure to its virtual assistant, BIA, resulting in reduced response time from days to hours, improving operational efficiency and client satisfaction.
79. Capgemini Mexico integrated GitHub Copilot to support scalable AI implementations which has led to improved customer experiences and increased efficiency.
80. Capitec Bank uses Azure OpenAI Service and Microsoft 365 Copilot, enabling their AI-powered chatbot to assist customer service consultants in accessing product information more efficiently, saving significant time for employees each week.
81. Cdiscount is leveraging GitHub Copilot and Azure OpenAI Service to enhance developer efficiency, optimize product sheet categorization, and improve customer satisfaction.
82. Cemex used Azure OpenAI Service to launch Technical Xpert, an AI tool used by sales agents to provide instant access to comprehensive product and customer solution information, significantly reducing search time by 80%. 
83. Chanel elevated their client experience and improved employee efficiency by leveraging Microsoft Fabric and Azure OpenAI Service for real-time translations and quality monitoring.
84. City of Burlington created two AI-powered solutions: MyFiles system using Microsoft Power Platform for building permits, and CoBy, an around-the-clock customer support assistant using Microsoft Copilot Studio.
85. City of Madrid created an AI virtual assistant with Azure OpenAI Service offering tourists accurate, real-time information and personalized responses in more than 95 languages.
86. Cognizant is making performance management more effective and meaningful with Azure Machine Learning to help clients across industries envision, build, and run innovative digital enterprises.
87. Coles Group has leveraged Azure to enhance its digital presence and improve customer engagement, rolling out new applications to its stores six times faster without disrupting workloads.
88. Commercial Bank of Dubai used Azure to upgrade its application infrastructure, improving transaction security and speed so individual customers can now open an account and start banking in about two minutes.
89. Dubai Electricity and Water Authority has significantly improved productivity and customer satisfaction by integrating multiple Microsoft AI solutions, reducing task completion time from days to hours and achieving a 98% customer happiness rate.
90. Elcome uses Microsoft 365 Copilot to improve the customer experience, reducing response times from 24 hours to eight hours.
91. elunic developed shopfloor.GPT based on Azure OpenAI Service, leading to increased productivity for customers, saving 15 minutes per request.
92. Estée Lauder Companies is leveraging Azure OpenAI Service to create closer consumer connections and increase speed to market with local relevancy.
93. First National Bank (FNB) is using Microsoft 365 Copilot for Sales to help bankers create professional, thoughtful emails in 13 native South African languages to enhance customer interactions, streamline communications, and reinforce its commitment to innovation and customer service. 
94. Flora Food Group migrated to Microsoft Fabric to offer more detailed and timely insights to its customers, enhancing service delivery and customer satisfaction.
95. Groupama deployed a virtual assistant using Azure OpenAI Service that delivers reliable, verified and verifiable information, and boasts an 80% success rate.
96. International University of Applied Sciences (IU) adopted Azure OpenAI Service to revolutionize learning with a personalized study assistant that can interact with each student just like a human would.
97. Investec is using Microsoft 365 Copilot for Sales to enhance the bank’s client relationships, estimating saving approximately 200 hours annually ultimately boosting sales productivity and delivering personalized, seamless customer experience. 
98. Linum is using Azure to train their text-to-video models faster and more efficiently without losing performance or wasting resources.
99. Lumen Technologies is redefining customer success and sales processes through the strategic use of Microsoft 365 Copilot, enhancing productivity, sales, and customer service in the global communications sector.
100. McKinsey & Company is creating an agent to reduce client onboarding process by reducing lead time by 90% and administrative work by 30%.
101. Meesho leveraged Azure OpenAI Service 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.
102. Milpark Education integrated Microsoft Copilot and Copilot Studio and in just four months, improved efficiency and accuracy of student support, decreasing the average resolution time by 50% and escalations by more than 30%.
103. NC Fusion chose a comprehensive Microsoft solution to make marketing engagement activities easier and accurately target the best audience segments.
104. Medgate, a telehealth subsidiary of Otto Group, developed a medical Copilot powered by Azure OpenAI Service that summarizes consultations, supports triage, and provides real-time translations. 
105. Pacific Gas & Electric built a chatbot using Microsoft Copilot Studio that saves $1.1 million annually on helpdesk support. 
106. Pockyt is using GitHub Copilot and anticipates a 500% increase in productivity in the medium to long term as they continue adapting AI and fine-tuning their software development life cycle.
107. South Australia Department for Education launched an AI-powered educational chatbot to help safeguard students from harmful content while introducing responsible AI to the classrooms.
108. Sync Labs is using Azure to create AI-powered solutions that have led to a remarkable 30x increase in revenue and a 100x expansion of their customer base.
109. Syndigo is using Azure to accelerate digital commerce for its customers by more than 40% and expand its customer base.
110. Telkomsel created a virtual assistant with Azure OpenAI Service, resulting in a leap in customer self-service interactions from 19% to 45%, and call volume dropped from 8,000 calls to 1,000 calls a day.
111. Torrens University chose to use Azure OpenAI to uplift its online learning experience, saving 20,000 hours and $2.4 million in time and resources.
112. Trusting Social integrated Azure services to launch AI-driven agents that are changing how banks function and transforming their customer’s banking experience.
113. University of California, Berkeley used Azure OpenAI Service to deploy a custom AI chatbot that supports student learning and help students with complex coursework.
114. University of Sydney created a self-serve AI platform powered by Azure OpenAI Service, to enable faculty to build custom chatbots for enhancing student onboarding, feedback, career simulation, and more.
115. Van Lanschot Kempen is using Microsoft 365 Copilot to reduce the time needed for daily tasks, freeing up time to invest in that crucial personal connection.
116. Virgin Money built an award-winning virtual assistant using Copilot Studio to help build customers’ confidence in their digital products and services.
117. VOCALLS automates over 50 million interactions per year, resulting in a 78% reduction in average handling time aside from a 120% increase in answered calls.
118. Vodafone Group is leveraging Microsoft’s AI solutions, including Azure AI Studio, OpenAI Service, 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.
119. Walmart is using Azure OpenAI Service to deliver a helpful and intuitive browsing experience for customers designed to serve up a curated list of the personalized items a shopper is looking for.
120. Weights & Biases created a platform which runs on Azure that allows developers to keep records, log successes and failures, and automate manual tasks.
121. World2Meet is providing better customer service and operations with a new virtual assistant powered by Azure.
122. Xavier College is modernizing its student information systems on Microsoft Dynamics 365 and Azure to unlock powerful insights, fostering innovation and data-driven decision making.
123. Zavarovalnica Triglav implemented Dynamics 365 and Azure OpenAI Service to streamline its operations with automated responses and smart rerouting of customer enquiries.

Reshaping business processes

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.

124. Accelleron used Microsoft Power Platform to support numerous business applications and simplify processes for service agents and employees, resulting in the onboard of new agents in 30 minutes, compared to two days for other solutions.
125. Accenture developed an AI-powered financial advisor that leverages RISE with SAP on Azure to enhance their infrastructure and integrate financial data.
126. Atomicwork leverages Azure OpenAI to bring together three power capabilities: a conversational assistant, a modern service management system, and a workflow automation platform.
127. Blink Ops fully embraced generative AI to build the world’s first Security Automation Copilot with more than 8,000 automated workflows to help any Security/IT task through prompts.
128. Chalhoub Group is using Microsoft Fabric to modernize its data analytics and streamline its data sources into one platform, increasing agility, enhancing analytics, and accelerating processes.
129. 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.
130. ClearBank moved its services to Azure to gain scalability and efficiency, pushing out 183% more monthly system releases, gaining both scalability and efficiency.
131. Danske Statsbaner increases productivity up to 30% with help from Microsoft AI solutions.
132. Eastman implemented Microsoft Security Copilot realizing the benefits of accelerated upskilling, step-by-step guidance for response, and faster threat remediation.
133. Fast Shop migrated to 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.
134. Florida Crystals adopted a value-added solution across Microsoft products including Microsoft 365 Copilot to reduce telecom expenses and automate industrial process controls.
135. GHD is reinventing the request for proposal (RFP) process in construction and engineering with Microsoft 365 Copilot.
136. GovDash is a software as a service (SaaS) platform that leverages AI to streamline the entire business development lifecycle for government contracting companies using Azure OpenAI Service.
137. Grupo Bimbo is deploying Microsoft’s industrial AI technologies to modernize its manufacturing processes, optimizing production and reducing downtime, driving significant cost savings, and empowering global innovation.
138. Insight Canada implemented Microsoft 365 Copilot to streamline business operations, realizing a 93% productivity gains in functions including sales, finance, and human resources.
139. Intesa Sanpaolo Group enhanced its cybersecurity with AI-enabled Microsoft Sentinel and Microsoft Security Copilot, resulting in faster threat detection, increased productivity, and reduced storage costs.
140. Kaya deployed a custom implementation of Dynamics 365 and Power BI to modernize its supply chain, leading to enhanced visibility, improved planning, and streamlined inter-department operations.
141. Lionbridge Technologies, LLC is using Azure and Azure OpenAI Service to accelerate its delivery times and improve quality, reducing project turnaround times by up to 30%.
142. LTIMindtree integrated Microsoft Security Copilot, offering automated incident response, integrated threat intelligence, and advanced threat analysis.
143. Mania de Churrasco used Azure, Microsoft Power Platform and Microsoft 365 to achieve high efficiency, security, and scalability in its operations, in addition to improving its data intelligence, which indirectly participated in a 20% increase in sales year on year.
144. National Bank of Greece built an Azure-powered Document AI solution to transform its document processing, improving the bank’s accuracy to 90%. 
145. Nest Bank has revolutionized its operations by integrating Microsoft 365 Copilot and Azure OpenAI Service, 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.
146. Network Rail modernized their data analytics solution with Azure, helping engineers understand data 50% faster than before and improve efficiency, passenger experiences, and safety—all while saving costs.
147. Nsure developed an AI-powered agent that uses Copilot Studio and Power Automate to reduce manual processing time by 60% while also reducing associated costs by 50%.
148. Oncoclínicas implemented Azure to transform its entire data ecosystem with a web portal and mobile application that performs all image processing and storage.
149. Pacífico Seguros has adopted Microsoft Security Copilot to optimize its security operations and anticipate and neutralize threats more efficiently and effectively.
150. Parexel adopted Azure Databricks and 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.
151. Paysafe used Microsoft 365 Copilot to streamline meetings, information management, and document creation, addressing language barriers, eliminating time-consuming tasks, and boosting creativity along the way.
152. Planted is integrating Azure OpenAI Service to manage everyday tasks more efficiently and facilitate the search for information for innovative process development.
153. Presidio realized dramatic productivity gains saving 1,200 hours per month on average for the employees using Microsoft 365 Copilot and created 70 new business opportunities.
154. 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.
155. Saphyre uses Azure and AI to provide an intelligent cloud-based solution that automates and streamlines financial trading workflows around client and counterparty life cycle management, reducing manual efforts by 75%. 
156. Swiss International Air Lines migrated and modernized with Azure, achieving up to 30% cost savings, a remarkable boost in platform stability along with enhanced security visibility.
157. ZEISS Group uses Microsoft Fabric to create a secure and trusted data supply chain that can be shared effortlessly across a range of business units.
158. ZF Group builds manufacturing efficiency with more than 25,000 apps and 37,000 unique active users on Microsoft 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 research and development (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.

159. Air India has incorporated Microsoft 365 Copilot into multiple departments, unlocking a new realm of operational insights that not only provides critical data on flight punctuality and operational hurdles, but also empowers proactive, collaborative decision making.
160. Agnostic Intelligence deployed Azure OpenAI Service to eliminate time-consuming tasks, saving users up to 80% of their time, and enabling IT managers to focus on innovation and quality assurance.
161. Albert Heijn is using Azure OpenAI Service for everything from customer personalization to demand forecast and food waste projects, making it easier for its customers to change their lifestyle.
162. Amgen is using Microsoft 365 Copilot to boost productivity and has the potential to speed up drug development and support advancements in their business processes.
163. APEC leverages Azure and deep neural network algorithms to develop an app that enables healthcare providers to capture retinal images, increasing the accuracy to identify Retinopathy of Prematurity (RoP) to 90%.
164. ASOS is using Azure AI Studio to help customers discover new looks with genuine shopping insights, personalized conversations, naturalism, and even humor to enliven the shopping journey.
165. Auburn University is incorporating Microsoft Copilot to promote AI literacy, accessibility, and collaboration, with the aim to expand educational and economic opportunities for its entire academic community with AI-centric tools.
166. 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.
167. Basecamp Research aims to build the world’s largest database of national biodiversity and apply AI and machine learning to advance bioscience.
168. Bayer is using Microsoft Copilot to contribute to feeding a growing global population and helping people lead healthier, disease-free lives.
169. Brembo leveraged Azure OpenAI Service to develop ALCHEMIX, a solution to generate innovative compounds for its brake pads, drastically reducing the development time of new compounds from days to mere minutes.
170. Canary Speech can now train new vocal models in as little as two months and handle millions of transactions per month with Azure. 
171. CapitaLand simplified internal processes increasing efficiency to more than 10,000 man-days saved per year and deployed Azure OpenAI Service to build the first AI hospitality chatbot for its lodging business.
172. Cassidy is using Azure OpenAI Service to enhance efficiency across various industries, supporting more than 10,000 companies.
173. Coca-Cola is implementing Azure OpenAI Service to develop innovative generative AI use cases across various business functions, including testing how Microsoft 365 Copilot could help improve workplace productivity.
174. Denso is developing “human-like” robots using Azure OpenAI Service as the brain to help robots and humans work together through dialogue.
175. eFishery is using Azure OpenAI for farmers to get the data and insights on fish and shrimp farming, including more precise feeding and water quality monitoring.
176. EY developed an application that automatically matches and clears incoming payments in SAP, resulting 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.
177. FIDO is using Azure OpenAI Service to develop an AI tool that uses sound to pinpoint leaky pipes, saving precious drinking water. 
178. Georgia Tech is using Azure OpenAI Service to enhance the electric vehicle (EV) charging infrastructure, achieving rapid data classification and predictive modeling, highlighting the reliability of networked chargers over non-networked ones.
179. GigXR developed a solution to create the intelligence for specific AI patients using Azure OpenAI Service and other Azure services.
180. GoTo Group is significantly enhancing productivity and code quality across its engineering teams by adopting GitHub Copilot, saving over seven hours per week and achieved a 30% code acceptance rate.
181. GovTech used 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.
182. H&R Block is using Azure AI Studio and Azure OpenAI Service to build a new solution that provides real-time, reliable tax filing assistance.
183. Haut.AI provides skin care companies and retailers with customizable, AI-based skin diagnostic tools developed with the help of Microsoft AI.
184. Helfie is building a solution that caters to healthcare providers who can arm their patients with an application to more quickly and accurately access the care they need.
185. Hitachi will implement Azure Open AI Service, Microsoft 365 Copilot, and GitHub Copilot to create innovative solutions for the energy, mobility, and other industries.
186. Icertis is providing AI-based tools that will recognize contract language and then build algorithms to automatically choose the right approach based on the content of the contract.
187. ITOCHU is using Azure OpenAI Service and Azure AI Studio to evolve its data analytics dashboard into a service that provides immediate recommendations by automatically creating evidence-based product proposals.
188. IU International University of Applied Sciences (IU) is using the power of Azure OpenAI Service to develop Syntea, an AI avatar integrated into Microsoft Teams and Microsoft 365 Copilot, making learning more personalized, autonomous, and flexible.
189. Khan Academy has partnered with Microsoft to bring time-saving and lesson-enhancing AI tools to millions of educators.
190. Lufthansa Group developed an animated 3D avatar called Digital Hangar to help guide passengers from initial travel inspiration to flight booking through an exchange with an avatar in natural language.
191. Mitsubishi Heavy Industries is using Azure OpenAI Service to help accelerate digital innovation in power plants.
192. Molslinjen has created an AI analytics toolbox that has reduced fuel emissions, improved customer satisfaction, and brought in millions of additional revenue.
193. Novo Nordisk recently published initial results with predictive AI models for advanced risk detection in cardiovascular diseases, including an algorithm that can predict patients’ cardiovascular risk better than the best clinical standards. 
194. Paige.AI​ is using AI and Azure to accelerate cancer diagnoses with data from millions of images.
195. Pets at Home created an agent to help its retail fraud detection team investigate suspicious transactions.  
196. Plan Heal is using Microsoft AI to create solutions that enable patients to monitor and report health metrics so care providers can better serve them.
197. Pacific Northwest National Laboratory (PNNL) is testing a new battery material that was found in a matter of weeks, not years, as part of a collaboration with Microsoft.
198. Rijksmuseum is harnessing the power of Copilot to make art accessible at scale by joining forces with Microsoft to improve and expand the art experience for blind and low-vision community members.
199. 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.
200. 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.
201. SPAR ICS created an award-winning, AI-enabled demand forecasting system achieving 90% inventory prediction accuracy.
202. Suzuki Motor Corporation is adopting Azure OpenAI Service for data security, driving company-wide use with five multipurpose apps.
203. Tecnológico de Monterrey created a generative AI-powered ecosystem built on Azure OpenAI Service with the goal to personalize education based on the students’ needs, improve the learning process, boost teachers’ creativity and save time on tedious tasks.
204. TomTom is using Azure OpenAI Service, Azure Cosmos DB, and Azure Kubernetes Service to revolutionize the driver experience.
205. Unilever is partnering with Microsoft to identify new digital capabilities to drive product innovation forward, from unlocking the secrets of our skin’s microbiome to reducing the carbon footprint of a multibillion-dollar business.
206. Unity used Azure OpenAI Service to build Muse Chat, an AI assistant that can guide creators through common questions and help troubleshoot issues to make game development easier.
207. University of South Florida is using Microsoft 365 Copilot to alleviate the burden of repetitive, time-consuming tasks so faculty and staff can spend this time creatively solving problems, conducting critical research, establishing stronger relationships with peers and students, and using their expertise to forge new, innovative paths. 
208. Visma has developed new code with GitHub Copilot, Azure DevOps, and Microsoft Visual Studio, as much as 50% faster, contributing to increased customer retention, faster time to market, and increased revenue.
209. Wallenius Wilhelmsen is implementing Microsoft 365 Copilot and using Microsoft Viva to drive sustainable adoption, streamlining processes, empowering better decision making, and cultivating a culture of innovation and inclusion.
210. Wipro is committed to delivering value to customers faster and improving the outcomes across the business by investing $1 billion in AI and training 200,000 employees on generative AI principles with Microsoft Copilot.

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So The Estée Lauder Companies turned to Microsoft 365 Copilot for a boost. Together, the partners are building a generative AI ecosystem, with Copilot Studio, Azure OpenAI Service and Azure AI Search, to gather data, identify trends, build marketing assets, inform research and generally move moisturizers, lip glosses and makeup to market faster.  

Estée Lauder has been in business for nearly 80 years and can call on a wealth of consumer data, such as surveys, clinical trials, promotions and product usage. Its ConsumerIQ, an agent built in Copilot Studio, will place that consumer data – one of its greatest competitive advantages – at the fingertips of employees.  

With ConsumerIQ, Estée Lauder can respond rapidly to the fickle tastes of consumers. A marketing director, for example, won’t waste time searching for a customer survey or worse, creating a report that already exists. Instead, they’ll use natural language prompts to ask ConsumerIQ to find what they need.  

Say an influencer is raving about an organic lip gloss on TikTok. A marketing team can tap into the company’s decades of data to learn how customers use lip gloss in markets around the world. Then they can market one of their own, like Blooming Shine Nourishing Lip Glaze from ELC’s sustainable Origins brand, or develop a new one. 

“This is now as simple as asking a question and getting an answer,” says Jayesh Mehta, a brand technology leader at Estée Lauder and a member of its AI Task Force. “Bringing the information (to) the fingertips as opposed to waiting for somebody to go research and bring that output three days later.” 

It’s part of Estée Lauder’s broader corporate vision, Beauty Reimagined, to make the company leaner, faster and more agile. Early on, leaders recognized the role AI, and specifically Microsoft Copilot and agents, could play in the drive for transformative innovation, bold efficiencies and a reimagination of how ELC works. 

Put simply, with Microsoft’s help Estée Lauder is leveraging the speed and power of AI to help drive change and growth. And there’s a lot at stake. Generative AI’s impact could generate $9 billion to $10 billion in the beauty industry around the globe, McKinsey & Company reported in January 2025. 

“Generative AI represents a significant opportunity for the beauty industry – creating more engaging customer experiences, getting products into the hands of consumers faster, developing new products more efficiently and sustainably and much more,” Shelley Bransten, Microsoft’s corporate vice president for Global Industry Solutions, said in April 2024 when the two companies announced the creation of the AI Innovation Lab, the next step in their strategic partnership. 

Estée Lauder’s edge: A high IQ 

The Estée Lauder Companies’ challenge has been that this data is spread among the company’s nearly 25 brands and the roughly 150 countries it operates in. With generative AI, its ConsumerIQ agent will analyze the company’s archives and data to quickly pull up the most relevant insights, to help the team market its current products or develop a new one. 

It can, for example, take hours to find, review and summarize PDFs and PowerPoints for use in a marketing campaign. With ConsumerIQ, an employee can ask the agent: “What are the latest trends for mascara use among Gen Z?” In seconds, ConsumerIQ will collect, summarize and deliver the answer. 

This frees the marketing team to focus on higher value work like developing a marketing strategy for a mascara that appeals to Gen Z customers. 

Let’s say an ELC brand is thinking about introducing a new moisturizer in the Pacific Northwest. A marketing lead can submit a simple prompt to ConsumerIQ: “What are popular moisturizing routines among customers in Washington state, Oregon and Idaho?” ConsumerIQ searches a trove of documents, often complex PDFs with graphs, pictures and other graphics, retrieves relevant information and shares it – in seconds. 

“I don’t have to read through 300 documents anymore. I just ask the question and it goes in precisely and runs through the entire data set and then gives me the answer,” says Shilpa Niranjan, a global IT business partner at The Estée Lauder Companies who is working on the AI Task Force developing ConsumerIQ. 

Finding what’s hot – and acting fast 

Data is powerful, but it means little if you don’t use it. That’s where the second part of Estée Lauder’s generative AI ecosystem, Trend Studio, comes in. 

For decades, the Consumer Insights Team has created in-depth reports on consumer behavior and trends – what customers really want.  

To harness this, ELC is building an agent, largely with Azure OpenAI and Azure AI Search, to detect market trends, recommend products based on those trends, generate marketing copy with AI that’s tailored to recommended products and even offer Virtual Try-On Technology to show how a product will look. An entire process is streamlined and Estée Lauder gets the right product to customers faster. 

Speed and agility are overriding goals of ConsumerIQ and Trend Studio and together will accelerate the time from detecting a trend to responding. These goals tie directly into pillars of Estée Lauder’s corporate transformation: remove complexity, simplify how employees work and empower faster decision-making. 

As important, Estée Lauder will leverage its competitive advantage in the fast-moving world of prestige beauty, where smaller companies often quickly respond to the latest trends. 

“Beauty startups may be able to leap on the latest TikTok trend, but they don’t have 80 years of market knowledge like Estée does,” says Kalindi Mehta, global vice president for consumer foresight, strategy and predictive analytics at Estée Lauder. “And now Estée has the technology to harness it.”  

These generative AI tools will save decision makers critical time and free employees from time-sucking, often mundane work. The tools will also cut down on repetitive work, since it will be far easier to know what has already been done across Estée Lauder’s brands. 

Only the beginning 

ConsumerIQ and Trend Studio are only the latest steps in Estée Lauder’s AI transformation. 

“They’re really looking at this as an AI platform and they can continue adding modules that enhance the experience to essentially…accelerate the time from detecting a trend on TikTok, matching it to a product and then making that marketable to the consumer in a way that they’re asking to receive it,” says Alexa Higgins, a global client director at Microsoft, who works with Estée Lauder. 

In the future, for example, an agent could streamline manufacturing training. Instead of slogging through a dense training manual to learn how to perform one process, an employee could simply ask an agent to fetch instructions for that process in seconds. 

“It’s all part of our innovation mindset of ‘Hey, we need to be faster to leverage these technologies to enable our business in a new and different way,’” says Jennifer Lee, director of strategic initiatives and predictive analytics at Estée Lauder. “It’s really increasing our speed to be able to compete in the marketplace.” 

Learn how Microsoft Copilot and agents are changing today’s workplace.

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The post Estée Lauder uses AI to reimagine trend forecasting and consumer marketing. The results are beautiful. appeared first on The Microsoft Cloud Blog.

Beyond the tools that empower businesses to shape their future with AI in a rapidly evolving market, our leaders at Microsoft are shaping our own organization with this technology. In this series, FYAI, we’ll highlight leaders from around Microsoft that are driving forces in our AI strategy for their unique perspective on our AI transformation; for your AI information, if you will.

Insights from Sarah Bird, Chief Product Officer (CPO) of Responsible AI

In this edition, we hear from Sarah Bird, Microsoft’s Chief Product Officer (CPO) of Responsible AI, ahead of her appearance at South by Southwest (SXSW) where she’ll be discussing the evolving safety practices for generative AI.  

In this Q&A session, Sarah shares her insights on various aspects of responsible AI, including her journey and dedication to responsible AI, her role as Chief Product Officer, the importance of integrating responsible AI early in the development process, and her insights on future AI breakthroughs and their safety implications. 

Let’s explore Sarah Bird’s experiences and perspectives on the evolving landscape of AI and discover how Microsoft is building trustworthy AI systems. 

FYAI: Responsible AI with Sarah Bird

 Who influenced you to pursue a career in responsible AI?

“For me, it’s less about who influenced me to pursue this career and more about who I’m helping every day through my work. AI is one of the most empowering technologies we have, but we can’t unlock its full potential without solving for responsible AI. That’s what makes this work so important—it’s about ensuring AI is safe and beneficial for everyone. And to do that, we have to work across boundaries. It reminds me of my grad school days—responsible AI is the ultimate group project, bringing together technology, society, and law to tackle these complex challenges in a meaningful way.” 

What does the role of chief product officer, responsible AI, actually mean? Tell us what your day-to-day looks like. 

“No two days are the same, and that’s what keeps me energized. At the core, my team is focused on three key things: spotting new risks, figuring out how to tackle them—especially when they’re things we’ve never seen before—and making sure our solutions are scalable so others can apply them easily. That framework guides us, but the reality is, AI is evolving fast. So a big part of our work is staying nimble—triaging issues in real-time, applying what we learn in practice, and adapting quickly to test and deploy new systems. It’s a mix of strategy and problem-solving, which is what makes it exciting.”

Where are you noticing gaps in companies’ implementation of AI safety practices?

“It’s been really inspiring to see how much more mature customers are getting with their responsible AI roadmaps and deployment. There’s real progress happening. That said, people are still learning, and the level of maturity varies across industries—some are further along than others. If there’s one thing I could shout from the rooftops, it’s that responsible AI can’t be an afterthought. It needs to be built into the entire development process from the start, not just bolted on at the end. It’s about putting all the pieces together to create a complete, responsible AI lifecycle.”

When do you think the next AI breakthrough is going to happen and what does that mean for safeguards?

“As an engineer, I’m focused on problem-solving rather than predicting when the next big breakthrough will happen. But I will say—it’s an exciting journey, especially with the pace of innovation. And while we still need another major leap before we can talk about the reality of what’s next, what’s really exciting about this space is that the breakthrough isn’t just the technology itself—it’s how we apply it. The real magic happens at the intersection of tech and people, and figuring out how to bridge that responsibly is what makes this work so fascinating.”

Why do you feel safety and innovation go hand in hand? 

“A goal of ours as a company is to help people do more with AI. We are constantly pushing the boundaries of what’s possible and doing so in a safe, trusted way. As I’ve said, safety is not just a ‘nice to have’ bolted on at the end of a project, but a critical piece of developing high-quality AI systems. I look at safety issues as a measure of quality – is your AI performing as well as it should be? We can’t innovate and drive meaningful progress if we don’t solve for this.” 

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Learn more about Microsoft’s responsible AI work 

At Microsoft, we’re committed to the responsible advancement and use of AI. Our approach is guided by principles that ensure AI development maximizes benefits and minimizes potential harms. We incorporate responsible AI practices from the beginning by training our employees to evaluate risks and collaborating with experts to review and test technologies. 

We believe that advancing safe, secure, and trustworthy AI requires a mix of industry commitments, policies, and global governance. Responsible AI is an ongoing journey that involves continuous learning and collaboration.

Sarah Bird is at the forefront of ensuring that AI technologies are developed and deployed responsibly, and her team is dedicated to building tools that test AI systems rigorously to ensure they work as intended and are safe, inclusive, and beneficial for everyone. As she highlights, by integrating responsible AI practices from the start, we can unlock the full potential of AI while maintaining the highest standards of safety and innovation. 

Want to learn more?  

• Are you attending SXSW? Check out Sarah’s panel on Wednesday, March 12: Building Trustworthy AI: Evolving Safety Practices for GenAI. 
• Visit our Understanding AI at Microsoft page to catch up on the latest content from our Building AI Responsibly blog series.
• Read Grow Your Business with AI You Can Trust to discover how safe and secure AI business practices can enhance performance and effectively drive impact.

The post FYAI: The role of responsible AI with Microsoft CPO Sarah Bird appeared first on The Microsoft Cloud Blog.

Here are six ways Microsoft AI is bringing positive change around the world.

Helping medical providers improve careHelping medical providers improve careHelping medical providers improve care

Documenting and reviewing patient information — chart notes, test results, medical history — can be time-consuming for health care providers. AI is streamlining the work so they can give better care, spend more time with patients and reduce burnout.

In Taiwan, Chi Mei Medical Center’s AI assistants,built with Azure OpenAI Service, are helping doctors, nurses and pharmacists find information, summarize data and generate reports. In the U.S., the Providence health care organization is working with Microsoft on prototype AI tools for oncologists to analyze patient data from sources like text, images and genomic information with a goal of giving cancer patients personalized and precise treatments faster.

Microsoft Research and Mayo Clinic are also developing AI models that integrate text and images to explore how AI can help doctors analyze radiology results more quickly and accurately.

Documenting and reviewing patient information — chart notes, testDocumenting and reviewing patient information — chart notes, test
results, medical history — can be time-consuming for health careresults, medical history — can be time-consuming for health care
providers. AI is streamlining the work so they can give better care,providers. AI is streamlining the work so they can give better care,
spend more time with patients and reduce burnout.spend more time with patients and reduce burnout.

In Taiwan, Chi Mei Medical Center’s AI assistants, built with AzureIn Taiwan, Chi Mei Medical Center’s AI assistants, built with Azure
OpenAI Service, are helping doctors, nurses and pharmacists findOpenAI Service, are helping doctors, nurses and pharmacists find
information, summarize data and generate reports. In the U.S., theinformation, summarize data and generate reports. In the U.S., the
Providence health care organization is working with Microsoft onProvidence health care organization is working with Microsoft on
prototype AI tools for oncologists to analyze patient data fromprototype AI tools for oncologists to analyze patient data from
sources like text, images and genomic information with a goal ofsources like text, images and genomic information with a goal of
giving cancer patients personalized and precise treatments faster.giving cancer patients personalized and precise treatments faster.

Microsoft Research and Mayo Clinic are also developing AI modelsMicrosoft Research and Mayo Clinic are also developing AI models
that integrate text and images to explore how AI can help doctorsthat integrate text and images to explore how AI can help doctors
analyze radiology results more quickly and accurately.analyze radiology results more quickly and accurately.

Transforming learning at school and workTransforming learning at school andTransforming learning at school and
workwork

AI has the potential to make teaching, learning and job training more personalized and effective. More than 400,000 teachers in over 50 countries have used an AI-powered teaching assistant from Khan Academy that helps create innovative lesson plans — like chemistry experiments using everyday items, or writing stories based on Shakespeare — to make learning more engaging and give teachers more time and energy for students.

Many schools like De Wereldreiziger in Belgium are using AI-powered apps like Microsoft’s Reading Progress to help students practice their reading. The company’s other educational tools, including Reading Coach and Search Coach, are also helping students with important skills.

And Pearson, an organization dedicated to training and education, is working with Microsoft to expand personalized learning and AI‑enabled services to people around the world.

AI has the potential to make teaching, learning and job training moreAI has the potential to make teaching, learning and job training more
personalized and effective. More than 400,000 teachers in over 50personalized and effective. More than 400,000 teachers in over 50
countries have used an AI-powered teaching assistant from Khancountries have used an AI-powered teaching assistant from Khan
Academy that helps create innovative lesson plans — like chemistryAcademy that helps create innovative lesson plans — like chemistry
experiments using everyday items, or writing stories based onexperiments using everyday items, or writing stories based on
Shakespeare — to make learning more engaging and give teachersShakespeare — to make learning more engaging and give teachers
more time and energy for students.more time and energy for students.

Many schools like De Wereldreiziger in Belgium are using AI-poweredMany schools like De Wereldreiziger in Belgium are using AI-powered
apps like Microsoft’s Reading Progress to help students practiceapps like Microsoft’s Reading Progress to help students practice
their reading. The company’s other educational tools, includingtheir reading. The company’s other educational tools, including
Reading Coach and Search Coach, are also helping students withReading Coach and Search Coach, are also helping students with
important skills.important skills.

And Pearson, an organization dedicated to training and education, isAnd Pearson, an organization dedicated to training and education, is
working with Microsoft to expand personalized learning andworking with Microsoft to expand personalized learning and
AI‑enabled services to people around the world.AI‑enabled services to people around the world.

Improving weather forecasts and disaster responsesImproving weather forecasts andImproving weather forecasts and
disaster responsesdisaster responses

When weather-related and other disasters strike, AI can provide essential information to frontline workers. Microsoft’s AI for Good Lab has developed models to analyze satellite images for visual damage after floods, earthquakes and other disasters, including the recent wildfires in Los Angeles. The lab shares its assessments to help responders prioritize and provide aid.

And as the need to prepare for extreme weather becomes more urgent, a new AI model of the atmosphere is making weather forecasts more accurate, versatile and accessible.

The large-scale model from Microsoft Research, called Aurora, can perform in remote and other “data‑sparse” areas and with lower computational costs, allowing developing regions to access critical weather and climate information more easily. The model can also accurately predict air pollution levels and will be able to efficiently predict weather over a range of time, from minutes to years.

When weather-related and other disasters strike, AI can provideWhen weather-related and other disasters strike, AI can provide
essential information to frontline workers. Microsoft’s AI for Goodessential information to frontline workers. Microsoft’s AI for Good
Lab has developed models to analyze satellite images for visualLab has developed models to analyze satellite images for visual
damage after floods, earthquakes and other disasters, including thedamage after floods, earthquakes and other disasters, including the
recent wildfires in Los Angeles. The lab shares its assessments to helprecent wildfires in Los Angeles. The lab shares its assessments to help
responders prioritize and provide aid.responders prioritize and provide aid.

And as the need to prepare for extreme weather becomes moreAnd as the need to prepare for extreme weather becomes more
urgent, a new AI model of the atmosphere is making weatherurgent, a new AI model of the atmosphere is making weather
forecasts more accurate, versatile and accessible.forecasts more accurate, versatile and accessible.

The large-scale model from Microsoft Research, called Aurora, canThe large-scale model from Microsoft Research, called Aurora, can
perform in remote and other “data‑sparse” areas and with lowerperform in remote and other “data‑sparse” areas and with lower
computational costs, allowing developing regions to access criticalcomputational costs, allowing developing regions to access critical
weather and climate information more easily. The model can alsoweather and climate information more easily. The model can also
accurately predict air pollution levels and will be able to efficientlyaccurately predict air pollution levels and will be able to efficiently
predict weather over a range of time, from minutes to years.predict weather over a range of time, from minutes to years.

Monitoring and protecting biodiversityMonitoring and protecting biodiversityMonitoring and protecting biodiversity

The world’s forests and wildlife populations have dwindled over the decades, but AI is helping conservationists measure biodiversity and preserve what remains.

In the Amazon rainforest — home to millions of species of plants and wildlife — Microsoft and researchers are using AI models to monitor deforestation and protect biodiversity through satellite imagery, camera traps and bioacoustics. Project Guacamaya helps identify patterns of deforestation faster, allowing quicker action to protect at-risk areas.

An AI edge computing solution called SPARROW will be able to capture and analyze wildlife sounds and images and transmit the data via satellite in real time. Developed by Microsoft’s AI for Good Lab, the solar‑powered devices will allow researchers to gather key data from some of the world’s most hard‑to‑reach places.

The world’s forests and wildlife populations have dwindled over theThe world’s forests and wildlife populations have dwindled over the
decades, but AI is helping conservationists measure biodiversity anddecades, but AI is helping conservationists measure biodiversity and
preserve what remains.preserve what remains.

In the Amazon rainforest — home to millions of species of plants andIn the Amazon rainforest — home to millions of species of plants and
wildlife — Microsoft and researchers are using AI models to monitorwildlife — Microsoft and researchers are using AI models to monitor
deforestation and protect biodiversity through satellite imagery,deforestation and protect biodiversity through satellite imagery,
camera traps and bioacoustics. Project Guacamaya helps identifycamera traps and bioacoustics. Project Guacamaya helps identify
patterns of deforestation faster, allowing quicker action to protectpatterns of deforestation faster, allowing quicker action to protect
at-risk areas.at-risk areas.

An AI edge computing solution called SPARROW will be able toAn AI edge computing solution called SPARROW will be able to
capture and analyze wildlife sounds and images and transmit the datacapture and analyze wildlife sounds and images and transmit the data
via satellite in real time. Developed by Microsoft’s AI for Good Lab,via satellite in real time. Developed by Microsoft’s AI for Good Lab,
the solar‑powered devices will allow researchers to gather key datathe solar‑powered devices will allow researchers to gather key data
from some of the world’s most hard‑to‑reach places.from some of the world’s most hard‑to‑reach places.

Helping farmers optimize harvestsHelping farmers optimize harvestsHelping farmers optimize harvests

Farming comes with major risks, from climate change to disease, but AI is helping sugar cane farmers in Indiafine-tune how they handle them. They’re using an AI tool that analyzes weather, soil, satellite and other data and provides recommendations for watering, fertilizing and other practices to get the most out of their crops in a sustainable way.

The Agricultural Development Trust of Baramati built the tool with Project FarmVibes,a Microsoft open-source toolkit for using AI to turn farm data into insights and actions. The sugar cane farmers’ tool also uses Azure Data Manager for Agriculture, where developers can build AI assistants that can answer questions about a farmer’s crops and fields.

Farming comes with major risks, from climate change to disease, butFarming comes with major risks, from climate change to disease, but
AI is helping sugar cane farmers in India fine-tune how they handleAI is helping sugar cane farmers in India fine-tune how they handle
them. They’re using an AI tool that analyzes weather, soil, satellite andthem. They’re using an AI tool that analyzes weather, soil, satellite and
other data and provides recommendations for watering, fertilizingother data and provides recommendations for watering, fertilizing
and other practices to get the most out of their crops in aand other practices to get the most out of their crops in a
sustainable way.sustainable way.

The Agricultural Development Trust of Baramati built the tool withThe Agricultural Development Trust of Baramati built the tool with
Project FarmVibes, a Microsoft open-source toolkit for using AI toProject FarmVibes, a Microsoft open-source toolkit for using AI to
turn farm data into insights and actions. The sugar cane farmers’ toolturn farm data into insights and actions. The sugar cane farmers’ tool
also uses Azure Data Manager for Agriculture, where developers canalso uses Azure Data Manager for Agriculture, where developers can
build AI assistants that can answer questions about a farmer’s cropsbuild AI assistants that can answer questions about a farmer’s crops
and fields.and fields.

Breaking down barriers for people with disabilitiesBreaking down barriers for people withBreaking down barriers for people with
disabilitiesdisabilities

People who are neurodivergent or living with a disability are finding that AI can help employees with the unique challenges they face at work, according to a recentsurvey.

Participants shared that Microsoft 365 Copilot, an AI assistant for work, helps them write, read and understand email and meeting summaries. More than 75% said the tool improves their quality of work and helps them feel better about their performance and inclusion in the workplace.

AI is also helping people through research like Find My Things, which helps people with vision disabilities teach an AI system to recognize personal items like earbuds or a cane and give cues for finding them. The tool is available in Seeing AI, Microsoft’s intelligent camera app that narrates surroundings for people with a vision disability.

And AI is making it easier for people to use speech to code, get access to better job opportunities, simplify the creation of prosthetic devices and help with many other challenges.

People who are neurodivergent or living with a disability are findingPeople who are neurodivergent or living with a disability are finding
that AI can help employees with the unique challenges they face atthat AI can help employees with the unique challenges they face at
work, according to a recent survey.work, according to a recent survey.

Participants shared that Microsoft 365 Copilot, an AI assistant forParticipants shared that Microsoft 365 Copilot, an AI assistant for
work, helps them write, read and understand email and meetingwork, helps them write, read and understand email and meeting
summaries. More than 75% said the tool improves their quality ofsummaries. More than 75% said the tool improves their quality of
work and helps them feel better about their performance andwork and helps them feel better about their performance and
inclusion in the workplace.inclusion in the workplace.

AI is also helping people through research like Find My Things, whichAI is also helping people through research like Find My Things, which
helps people with vision disabilities teach an AI system to recognizehelps people with vision disabilities teach an AI system to recognize
personal items like earbuds or a cane and give cues for finding them.personal items like earbuds or a cane and give cues for finding them.
The tool is available in Seeing AI, Microsoft’s intelligent camera appThe tool is available in Seeing AI, Microsoft’s intelligent camera app
that narrates surroundings for people with a vision disability.that narrates surroundings for people with a vision disability.

And AI is making it easier for people to use speech to code, getAnd AI is making it easier for people to use speech to code, get
access to better job opportunities, simplify the creation of prostheticaccess to better job opportunities, simplify the creation of prosthetic
devices and help with many other challenges.devices and help with many other challenges.

Lead video by SimonSkafar / Vetta / Getty Images. Other images, top to bottom, by Billy H.C. Kwok for Microsoft, Chris Welsch for Microsoft, Microsoft Research, Richard McManus / Moment / Getty Images, Selvaprakash Lakshmanan for Microsoft and SolStock / E+ / Getty Images.

Story published on February 26, 2025

The post 6 ways AI is making a difference in the world appeared first on The Microsoft Cloud Blog.