Sales teams have access to more information in the flow of work than ever before. Customer conversations, customer relationship management (CRM) data, meetings, emails, service interactions, and market signals can all provide valuable context—but only if sellers can quickly turn that information into meaningful next steps.

For many organizations, that is becoming the real challenge. The issue isn’t a lack of data or activity. It’s helping sellers understand what matters most, prioritize effectively, and confidently take the next step with customers.

That’s why the sales force automation market is evolving. Organizations are increasingly looking beyond traditional CRM capabilities and evaluating how AI can help transform research, decision-making, and execution across the sales process. They’re looking for a system of action, not just a system of record.

We’re excited to share that Microsoft has been recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for CRM Sales Platforms, marking the sixteenth consecutive year in the Leaders quadrant.

Microsoft is named a Leader in 2026 Gartner® Magic Quadrant™ for CRM Sales Platforms

Read the report

Dynamics 365 Sales continues to evolve with AI-powered capabilities designed to help sellers work more efficiently and focus on customer engagement. Organizations can use these capabilities to streamline everyday sales activities, surface relevant information, reduce manual work, and support more informed customer interactions while maintaining control over how AI is applied within their sales processes.

Why this matters for sales teams

Sales organizations are under growing pressure to do more with less.

Buyers expect more personalized engagement, faster responses, and better experiences across every interaction. At the same time, sellers must navigate increasing amounts of information spread across multiple systems and touchpoints.

As a result, many teams are spending valuable time researching accounts, gathering context, updating records, and coordinating next steps rather than focusing on customer engagement.

This is where AI is beginning to play a meaningful role.

Rather than simply surfacing information, AI can help sellers synthesize insights from multiple sources, identify possible priorities, recommend actions, and support decision-making throughout the sales cycle. The goal is not to replace sellers; it is to help them move faster with better context and greater confidence—through a system of action that helps guide the next best step.

For sales leaders, these same capabilities can provide improved visibility into pipeline health, potential risks, and areas that require attention, helping organizations make more informed decisions and improve execution across teams.

How Microsoft is helping modernize sales execution with AI

Dynamics 365 Sales is designed to help organizations bring together CRM data, productivity tools, collaboration experiences, and AI-powered assistance into a unified sales experience. Gartner notes that Microsoft helps sales teams improve pipeline visibility and seller productivity through AI-driven research, analytics, and workflow automation. By combining CRM, productivity, and collaboration data with extensible AI agents, organizations can make more informed sales decisions while reducing manual effort.

For example, capabilities such as Sales Research Agent, Data Enrichment Agent, and Sales Agent help keep customer and opportunity data current, while Sales Qualification Agent can help sellers research, engage, and qualify leads more efficiently. Together, these tools help shift CRM from a system for recording sales activity to one that can actively support sellers throughout the sales process.

Microsoft also brings AI directly into the flow of work through Sales Agent in Microsoft 365 Copilot, enabling context-aware meeting preparation, record summaries, follow-up assistance, and sales insights across Dynamics 365, Outlook, and Teams.

For organizations with unique business requirements, Copilot Studio and Microsoft Power Platform enable the creation of customized AI agents that connect systems, automate workflows, and support specialized sales processes subject to customer configuration, governance, and applicable product capabilities.

Together, these capabilities create a more connected selling experience—helping teams turn insights into action, collaborate more effectively, and execute with greater consistency across the sales cycle.

Hear from our customers

Sales Research Agent helps our sales leaders get from idea to business insight and action much faster. They can ask complex business questions in natural language and get clear, decision-ready insights in minutes. It simplifies disparate data sources into a centralized experience where we can make better planning and performance decisions with far less manual effort.

Karl Phenix VP, Global Microsoft Strategy & GTM at TTEC Digital

Sellers want more control and less manual work. Sales Agent in Microsoft 365 Copilot prompts them to update records, assign tasks, and keep data current—without ever opening the CRM.

Keith Mescha, Executive Director, Tech Consulting, EY

AI‑driven data enrichment will improve the quality, consistency, and completeness of customer data in Dynamics, reducing administration for every person on the sales teams while improving our ability to action, analyst, and improve customer outcomes.

Nick Segger, Head of Sales & Agency Transformation, NFU Mutual

As selling continues to evolve, Microsoft remains focused on helping organizations apply AI in practical ways that drive business outcomes while empowering sellers to focus on building customer relationships and moving opportunities forward.

1 Gartner, Magic Quadrant for CRM Sales Platforms, Adnan Zijadic, Guy Wood, Wendy Butler-Mafuz, August 6, 2026 

Gartner and Magic Quadrant are trademarks of Gartner, Inc., and/or its affiliates.

All rights reserved. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. 

*This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft.  

**Microsoft Dynamic CRM has been recognized as a Leader since 2011 and Microsoft Dynamics CMR Online has been recognized in the report since 2011. In 2017, Gartner combined all feedback for both products into a single Microsoft Dynamics 365 for Sales evaluation. 

The post Microsoft named a Leader in the 2026 Gartner® Magic Quadrant™ for CRM Sales Platforms for the sixteenth consecutive year appeared first on Microsoft Dynamics 365 Blog.

Open by design: Dynamics 365 Sales and first-party agents are extensible through the Model Context Protocol (MCP)

AI agents are only as capable as the tools, skills, and information they can easily connect to. In sales, the intelligence that drives great decisions—buying signals, conversation insights, market and account context—often lives outside the customer relationship management (CRM). Getting it into the flow of work has traditionally meant costly integrations or data-duplication projects only the largest companies could sustain.

The Model Context Protocol, or MCP, is an open standard that lets AI agents securely connect to external tools, systems, and data sources.  MCP helps organizations unlock the full value of their CRM data by connecting agents to the systems, tools, and knowledge they already use. It extends first-party agents, unifies fragmented business data, brings CRM intelligence into any experience, and accelerates the development of custom agents. For Dynamics 365 Sales, that means agents can securely tap trusted intelligence in real time without requiring sellers or IT teams to rebuild integrations or duplicate data. The value shifts from data plumbing to intelligent action, giving sellers and sales leaders a more complete, connected, and actionable experience inside Dynamics 365 Sales.

Our Microsoft-built sales agents in Dynamics 365 Sales—including the Sales Qualification Agent and Sales Opportunity Agent—are built on Microsoft Copilot Studio, where MCP tools plug in natively. You can bring your existing partners, licenses, and trusted data directly into Dynamics 365 first-party agent experiences without standing up new CRM integrations or duplicating data.

The result

• Higher-value Dynamics 365 first-party agents that reason over trusted third-party intelligence  and improve output and results. 
• Lower friction to adoption, because you can use the tools you already have and trust across multiple experiences.
• Clear differentiation, where the Microsoft experience can better support agentic sales use cases and workflows, connecting CRM data, partner intelligence, and business context across Dynamics 365 Sales, Microsoft 365, and beyond.

MCP helps turn Dynamics 365 into an agent-powered engine for action

Data and sales intelligence are just the beginning. Because MCP is an open protocol, the same model that brings trusted data into your agents can connect them to nearly any external system or capability, from research and enrichment to workflow, analytics, and tools your teams have not even adopted yet. Today’s launch partners are a powerful starting point and as the MCP ecosystem grows, so does what your agents can do. This strengthens the broader Microsoft Copilot ecosystem and reinforces Microsoft’s agent extensibility.

Not just first-party agents 

These partner MCP servers also work with any custom agent built in Copilot Studio, not only our first-party Dynamics 365 Sales agents. Customers can bring this same flexibility into the agents they build for their own specific workflows.

If you already subscribe to these solutions, this is immediate added value. Your existing subscription now flows directly into your agentic workflows in Dynamics 365 Sales, putting data and capabilities you already have to work inside the agent experience, with no duplicate integration or added licensing.

Announcing new MCP partners

1. ZoomInfo

ZoomInfo: Connect ZoomInfo’s verified business-to-business (B2B) data and context to Microsoft Copilot Studio via ZoomInfo’s headless go-to-market (GTM) context layer, GTM.ai. This surfaces 400M contacts, 100M companies, 120M direct dials, and billions of buying signals inside Microsoft Dynamics 365. In Dynamics 365 Sales agents, customers can enrich contact and account records inline with verified contacts, firmographics, technographics, funding history, and intent signals without manual entry or tab switching.

2. Dun & Bradstreet

Dun & Bradstreet: Anchored by the global standard D-U-N-S® Number identifier, the D&B Commercial Graph MCP server provides the foundational context layer that allows AI agents to understand business identity, relationships, and risk across the global economy, delivering outputs that are consistent, explainable, and auditable. Leverage the Commercial Graph in Copilot Studio to create custom agents and workflows across finance and credit, supply chain, compliance, risk, sales & marketing, and enterprise master data use cases.

3. LeadIQ

LeadIQ: LeadIQ connects directly into the Sales Qualification Agent, the same AI agent already researching and scoring every lead that enters Dynamics 365 Sales. Instead of bolting on a separate enrichment step, LeadIQ becomes a knowledge source inside that existing research flow: as the agent evaluates a lead, it calls LeadIQ for a verified work email and phone number, and the result lands in the lead’s Deeper insights alongside the agent’s other findings, cited, sourced, and ready before a seller ever opens the record. There’s no new tool to learn and no separate enrichment step to run. Verification just becomes part of your Dynamics 365 workflow.

4. Draup

Draup: Draup brings context-rich account and market intelligence into the Sales Qualification Agent—hiring surges, funding events, IT spend shifts, executive moves—then converts those buying signals into clear next actions. Every lead arrives researched, prioritized, and paired with a recommended play.

5. Gong

Gong: Bring Gong’s account and deal insights directly into the Dynamics 365 agent experience. With real-time customer insights like objections raised, risks flagged, or agreed-upon next steps right at sellers’ fingertips, GTM teams can execute on informed next-best actions.

6. Enlyft

Enlyft: Enlyft helps B2B technology vendors and their partners turn deep account intelligence—technology adoption, buying propensity, and competitive footprint into pipeline. Our MCP connector brings that intelligence into Dynamics 365 Sales agents, so a qualification agent reasons over a prospect’s real tech stack, competitive install base, and fit signals before a seller ever engages.

7. HG Insights

HG Insights. HG Insights extends Dynamics 365 Sales agents with trusted B2B market context through Model Context Protocol (MCP), giving sellers direct access to company intelligence—such as technology adoption, cloud and AI maturity, IT investment signals, firmographics, and market context—right inside the agent experience. By combining CRM data with this external market intelligence, Dynamics 365 Sales agents help reps prioritize accounts, uncover whitespace opportunities, and recommend more informed next actions throughout the sales cycle. HG Insights is trusted by 95% of Fortune 1000 B2B tech companies and every major hyperscaler to find, target, and convert their best opportunities faster, and this integration brings that same market intelligence to Dynamics 365 users.

These launch partners highlight how powerful and extensible Dynamics 365 Sales agents can become with MCP: more connected, more contextual, and easier to extend with the partner intelligence customers already trust. Customer can use parter MCP tools with Microsoft-built agents such as Sales Qualification Agent and Sales Opportunity Agent, or bring those same tools into custom agents built in Copilot Studio.  

To get started, choose the sales scenario you want to improve, connect the right partner MCP tool, and define the insight or action the agent should support. Learn how to add custom research insights and MCP tools to Dynamics 365 Sales agents. 

Want to become a partner? The MCP ecosystem on Copilot Studio is open and growing. Certify your MCP server to make your solution available to Dynamics 365 Sales customers.

Microsoft MCP Server Guide

Explore certification prerequisites, package requirements, and publishing guidance for Microsoft MCP servers in Copilot Studio

Get started

The post Extending agentic Microsoft Dynamics 365 Sales with MCP appeared first on Microsoft Dynamics 365 Blog.

As organizations continue to seek ways to differentiate through exceptional customer service, many are turning to emerging agentic AI capabilities as a catalyst for transformation. However, the promise of agentic service—better experiences, greater efficiency, and continuous improvement—can only be realized when AI is deeply embedded and seamlessly orchestrated across every workflow and channel. This requires more than just automation; it demands a unified context and intelligence layer that travels with the work.

At Microsoft, we believe the future of customer service is one where Microsoft Dynamics 365 becomes the context and intelligence platform for Copilot and AI agents, grounding every interaction in rich customer data and business processes. With Dynamics 365 providing composable skills across the tools people already use every day, we enable intelligent, proactive self-service and augment human capabilities. This empowers service reps, supervisors, and leaders to amplify their impact, delivering more consistent, personalized, and effective service at scale.

The Forrester Wave™: Customer Service Solutions, Q1 2026

Microsoft has been recognized as a Leader

Read the report

With Microsoft Dynamics 365 Customer Service, we’re already delivering on this vision, helping our customers achieve tangible business outcomes with agentic service. Dynamics 365 Customer Service combines our latest AI advances with robust core capabilities, all deeply integrated with the entire Microsoft portfolio across Microsoft 365, Dynamics 365, Microsoft Power Platform, Microsoft Azure, and the Microsoft Fabric data platform.

​Today, we’re excited to announce that Microsoft has been named a Leader in The Forrester Wave™: Customer Service Solutions, Q1 2026.

Delivering measurable outcomes with agentic service

Our customers and the industry at large recognize we’re leading the way in agentic service innovation and enterprise adoption.

In Dynamics 365 Customer Service, AI agents orchestrate context and automate workflows in simple and complex inquiries across voice and digital channels. Agents can handle routine interactions and execute actions autonomously within robust governance and compliance guardrails. Customer Intent Agent continuously discovers new intents from conversations across channels, enabling evergreen self-service.

Agents like Case Management Agent automate repetitive tasks and integrate with Copilot to surface next-best actions during human-assisted interactions, helping reps offer rapid resolutions.

Importantly, these service agents create self-learning loops, helping improve resolution accuracy and speed. This continuous improvement extends to service reps as well. Quality Evaluation Agent monitors service quality in AI-powered and human-assisted interactions to enhance agent performance and recommend coaching opportunities for reps. Meanwhile, Customer Knowledge Management Agent adapts knowledge bases, updating content and generating new articles based on fresh insights or recurring issues.

This powerful combination of agentic and human service is orchestrated through Agent Hub, which routes tasks to the most appropriate AI agent or service rep and optimizes task distribution based on real-time KPI results.

Customers like Visa are saving time by using the Customer Knowledge Management Agent to turn customer conversation data into knowledge articles.

Auto-knowledge generation reduces article creation time by 88%, from four hours down to 30 minutes per article. And by mining 7,000 cases, we’ve been able to produce 700 knowledge articles, just for one line of business and we continue to accelerate knowledge creation at scale.

Lidia Daldoss, Vice President, Service Digitization & AI Acceleration, Visa

Accelerating successful AI adoption

Despite the numerous benefits on offer, navigating the AI adoption journey can be extremely complex for many organizations. Sometimes there’s uncertainty about where to start, or a lack of clarity about how to get a measurable return on AI investments.

Microsoft simplifies AI adoption, enabling organizations to quickly realize significant efficiency and productivity gains in customer service operations. We offer structured guidance and proven methodologies to help accelerate adoption success for organizations at every level of AI maturity.

Our customers particularly value the FastTrack for Dynamics 365 program, which is built on our Success By Design framework that paves the way for effective solution design, deployment, and operation. With proactive, expert guidance, organizations can confidently implement an agentic service platform based on advanced technologies that are already delivering tangible business outcomes for enterprises worldwide.

Enhancing core customer service capabilities

While AI agents automate and orchestrate workflows, and Copilot provides contextual guidance for reps, Dynamics 365 Customer Service also offers a strong set of core capabilities.

Intelligent, omnichannel routing, for example, is a cornerstone of effective service, directing inquiries to wherever customers will find the fastest path to resolution. Similarly, Microsoft’s longstanding strengths in business intelligence, process management, and forecasting and scheduling provide an essential foundation for efficient operations.

Integration with Microsoft Teams also enables seamless collaboration across service, sales, and marketing, streamlining issue resolution and highlighting opportunities to enhance the end-to-end customer experience.

Another notable strength of Dynamics 365 Customer Service is its extensibility, both within Microsoft’s suite of business applications and productivity tools, and across our extensive partner ecosystem and third-party marketplace.

The biggest impact of Dynamics 365 is that the customer information is more centralized, which saves time and gives us a 360-degree view of the customer.

Petra Velten, Business Expert Customer Service, Lufthansa Cargo

With Dynamics 365, our team has a single pane of glass with all customer information and tasks in one place. The Rheem knowledge base within Dynamics 365 Customer Service also gives [reps] fast, easy access to specific product information during customer calls.

Jordan Bond, Senior Manager, Product Owner, Dynamics Service, Rheem

Amplify your impact with Dynamics 365 Customer Service

We’re delighted to be recognized as a Leader in The Forrester Wave™, but this is just the beginning of the agentic service era that Microsoft and our partners are shaping. We’ll continue to make significant R&D investments that help accelerate AI breakthroughs and work alongside our pioneering customers to define the future of service.

Explore how you can boost efficiency and enhance service in every channel:

• Dynamics 365 Customer Service
• Dynamics 365 Contact Center

Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester’s objectivity here.

The post Microsoft named a Leader in The Forrester Wave™: Customer Service Solutions, Q1 2026 appeared first on Microsoft Dynamics 365 Blog.

We’re entering a new era of AI-powered business applications, and today we’re excited to publish the 2026 release wave 1 plans for Microsoft Dynamics 365, Microsoft Power Platform, and role-based agents in Microsoft 365 Copilot, outlining a broad set of capabilities slated for release between April 2026 and September 2026. These updates reflect our ongoing commitment to making AI an essential partner in how organizations operate, innovate, and grow.

Dynamics 365 leads this wave with AI-powered, agentic innovations across sales, service, finance, supply chain, human resources (HR), and commerce—helping organizations unify data, automate processes, and elevate customer and employee experiences. Microsoft Power Platform continues to expand modern app development, intelligent automation, and enterprise-grade governance to empower makers and developers to innovate with confidence. Role-based agents in Microsoft 365 Copilot further evolve into intelligent daily command centers, helping to deliver richer, data-grounded insights and extensibility that help teams work smarter across every role.

To help you stay current on the most important and innovative capabilities, we’re moving beyond bi-annual launch events to lighter, more frequent business applications updates, featuring expert insights and demonstrations from Microsoft product leaders and engineers.

• Watch on demand: Dynamics 365 Business Applications Update
• Register for the Power Platform and Copilot Studio update April 15 at 9 AM PDT

Be sure to stay updated on the latest features and create your personalized release plan using the release planner.

Highlights from Dynamics 365

2026 release wave 1 updates for Dynamics 365 deliver AI-powered, agentic experiences across sales, service, finance, supply chain, commerce, HR, projects, sustainability, and enterprise resource planning (ERP)—bringing deeper Copilot integration, intelligent automation, unified customer and operational data, and enhanced cross-app capabilities to help organizations drive efficiency, elevate customer and employee experiences, and operate with greater agility and confidence.

Dynamics 365 Sales

Dynamics 365 Sales brings the power of AI to help sellers build their pipeline, enrich opportunities, and accelerate deal closure, while helping sellers easily access accurate, up-to-date information and recommending high-impact actions that sellers can take. Copilot experiences in Dynamics 365 Sales can draw on data spanning customer relationship management (CRM) and Microsoft 365 signals, like email and meeting recaps, to deliver actionable insights across Dynamics 365 and Microsoft 365 experiences.

Dynamics 365 Customer Service

Dynamics 365 Customer Service will continue to enhance agentic capabilities across case management, email, customer intent, quality evaluation, and knowledge management. AI-infused admin and supervisor help to provide more transparency and quicker time-to-value. These investments strengthen end-to-end service orchestration, from helping identify customer intent to driving autonomous workflows that elevate service quality and responsiveness.

Dynamics 365 Contact Center

Dynamics 365 Contact Center advances the agentic contact center in 2026 release wave 1 with new AI-powered capabilities that improve self-service, support accelerate assisted service, and help organizations run contact center operations more intelligently in 2026 release wave 1. It expands to include emerging channels, supervisor insights, and extensibility, giving organizations a unified, AI-powered system to elevate the customer experience.

Dynamics 365 Field Service

Dynamics 365 Field Service strengthens service execution across technician productivity, resource scheduling, and work order management. Investments focus on mobile usability and reliability, intelligent scheduling through the Scheduling Operations Agent, and end‑to‑end execution across assets, projects, and financial operations in this release wave. Together, these updates help organizations manage service complexity and deliver consistent service outcomes.

Dynamics 365 Sustainability

Dynamics 365 Sustainability introduces more intuitive reporting navigation, advanced calculation versioning, and granular data‑locking to reinforce governance and regulatory confidence in this wave. Expanded finance integration, streamlined workflows, and updated templates and factor libraries will further empower organizations to make informed decisions and support progress toward their sustainability goals.

Dynamics 365 Finance

Dynamics 365 Finance delivers continued global scale enhancements that drive greater financial automation, strengthen global regulatory compliance posture, and enhance financial planning and analytics—helping organizations operate more efficiently and achieve their financial and operational goals with confidence.

Dynamics 365 Supply Chain Management

Dynamics 365 Supply Chain Management’s 2026 wave 1 enhances supply and demand planning with price-demand correlation and capacity-to-promise (CTP) date protection. Supplier communication and engagement are streamlined, while warehousing gains AI-powered picking, inventory rebalancing, and hands-free scanning—driving supply chain efficiency.

Dynamics 365 Project Operations

Dynamics 365 Project Operations brings rich capabilities in 2026 release wave 1—from change order support and smarter project planning to smoother quoting, budgeting, and contract workflows. New enhancements streamline item consumption, mobile expense management, subscription billing, and modern-architecture migration—delivering connected project experience.

Dynamics 365 Commerce

Dynamics 365 Commerce strengthens business-to-business (B2B) with multi-outlet ordering, unified sign-in, outlet-specific catalogs, and built-in credit management to help reduce friction and protect cash flow. It modernizes order management and assisted-selling workflows in retail stores, helping to improve associate productivity, and customer experiences across channels. It also enables cross-legal-entity inventory lookup and flexible, attribute-based pricing to help accelerate mass updates and help drive higher sales.

Dynamics 365 Human Resources

Dynamics 365 Human Resources continues to advance in areas such as recruitment, onboarding, reporting, and integrated workforce management. By merging enhanced user experiences with broader ecosystem integration and expanding regional payroll collaborations, the platform enables organizations to optimize employee engagement, support operational accuracy, and confidently achieve their workforce objectives.

Finance and operations cross-app capabilities

Finance and operations cross-app capabilities will introduce new enhancements that strengthen the foundation for AI experiences across Dynamics 365. These updates include improvements to Model Context Protocol (MCP) servers, as well as the general availability of immersive home, which is an AI-powered workspace designed to help users stay focused and prioritize what matters most.

Dynamics 365 Customer Insights – Data

Dynamics 365 Customer Insights – Data acts as the grounding layer for CRM copilots and AI agents, delivering real‑time, unified customer profiles that help power accurate decisions. With enriched data, teams can act on insights directly in their workflow to deliver timely, personalized experiences that deepen engagement and drive better outcomes. The result is an AI-ready data core that elevates agents and helps deliver more connected, intelligent CRM experiences.

Dynamics 365 Customer Insights – Journeys

Dynamics 365 Customer Insights – Journeys empowers end-to-end, agentic customer engagements across sales, marketing, and service, allowing businesses to proactively react to customer behavior using Copilot and AI agents. With smarter orchestration tools, teams can deliver impactful campaigns at scale to drive stronger relationships, higher efficiency, and revenue growth. Part of Dynamics 365, every interaction within your organization benefits from shared data and consistent intelligence across Microsoft CRM applications.

Dynamics 365 Business Central

Dynamics 365 Business Central accelerates the move to agentic ERP with enhancements to our AI‑powered agents that automate sales and purchase scenarios in 2026 release wave 1. Alongside new business capabilities, we invest heavily in developer productivity to support extensibility—improving advanced language (AL) testing, debugging, Copilot extensibility, and agent design.

Highlights from Microsoft Power Platform and Microsoft Copilot Studio

2026 release wave 1 updates for Microsoft Power Platform deliver modernized app experiences across Power Apps and Power Pages, AI-powered automation and agent innovation in Power Automate and Copilot Studio, enhanced Dataverse intelligence and programmability, and strengthened governance, security, and cost management capabilities to help organizations build, scale, and manage intelligent solutions with confidence.

Power Apps

Power Apps continues to modernize app experiences with a refreshed model-driven user interface (UI), improved mobile and offline capabilities, streamlined search, and expanded AI features. This release brings standardized modern theming to everyone, real-time Dataverse access for offline-first canvas apps, enhanced search in grids and lookups, and broader availability and extensibility of generative pages to help teams build and scale intelligent apps faster.

Power Pages

Power Pages will further empower pro-developers and low-code makers to build intelligent business portals for your employees, customers, citizens, and partners through better integration with market leading AI tools. Additionally, enhanced security agent features will further support low-code makers, pro-developers, and admins with actionable insights and abilities for securing their websites.

Power Automate

Power Automate is Microsoft’s comprehensive automation platform for cloud flows, desktop flows, and process mining. This release introduces AI agent authoring, optimization, and self-healing capabilities for desktop flows, Copilot Studio-powered actions in cloud flows, enhanced maker and collaboration tools across both, general availability of object-centric process mining, and consolidated governance reporting.

Microsoft Copilot Studio

Microsoft Copilot Studiocontinues its journey to make agent and agentic workflows even easier to build and more powerful. Now you can further customize agents built with Agent Builder in Microsoft 365 Copilot, and power your automation with high value AI actions. Deeper governance, multi-agent orchestration, and evaluations enable further scaling. With connections to Microsoft Foundry and Work IQ, your agents can use the latest AI technology in coordination with your organizational data.

Microsoft Dataverse

Microsoft Dataverse continues to invest in enterprise-ready agentic and low-code data platform capabilities. The spotlight is on Work IQ and Copilot integration, delivering organization-specific decisions with adaptive learning and full auditability. We’re also enhancing agent programmability with Dataverse APIs, MCP servers, and Python SDK, plus new storage management tools for enterprise-grade compliance at scale.

Microsoft Power Platform governance and administration

Microsoft Power Platform governance and administrationintroduces admin controls for agent security, real-time risk assessment in Copilot Studio, and AI-powered governance agents that automate tenant monitoring and remediation in this release. Enhanced visibility into usage patterns, granular Copilot credit usage with pay-as-you-go (PAYG) caps, and connector dependencies help you optimize costs, demonstrate return on investment (ROI), and enforce compliance with organizational policies using features within the Power Platform Admin Center. GitHub integration and deploy from Git mature your application lifecycle management (ALM) practices with full audit trails.

Business Applications Update

Power Platform &

Copilot Studio edition

Watch on demand

Updates to role-based agents in Microsoft 365 Copilot

2026 release wave 1 updates for Microsoft role-based agents transform Sales Agent and Finance Agent in Microsoft 365 Copilot into intelligent daily command centers, helping to deliver richer, data-grounded insights, enhanced chat and mobile experiences, contextual support across Outlook and Teams, and strengthened governance and extensibility to help organizations drive productivity and scale AI responsibly.

Sales Agent

Sales Agent becomes the seller’s daily command center with richer Sales Chat and Sales Home experiences across desktop and mobile in 2026 release wave 1. Sellers will gain streamlined access to deal and account insights through configurable record summaries, contextual support in Outlook and Teams, and improved email and meeting intelligence. New governance and extensibility controls will also help organizations scale AI responsibly.

Finance Agent

Finance Agent helps finance professionals and their stakeholders interact with financial information from their ERP within the flow of work. In 2026 release wave 1, we continue expanding how this financial assistant supports common finance tasks such as reconciliation, variance analysis, and data preparation in Excel, as well as customer communications in Outlook. By bringing financial insights and assistance directly into familiar productivity tools, the Finance Agent helps teams investigate issues faster, respond to stakeholders more efficiently, and spend less time manually preparing or reconciling data so they can focus more on financial analysis and decision support.

For a complete list of new capabilities, please refer to the Dynamics 365 2026 release wave 1 plan, the Microsoft Power Platform 2026 release wave 1 plan, and role-based agents 2026 release wave 1. We also encourage you to share your feedback in the community forums for Dynamics 365 and Microsoft Power Platform.

Business Applications Update

The Business Applications Update offers an early preview of new capabilities coming in the months ahead. This refreshed structure is designed to reflect the reality of our time: innovation does not happen twice a year; it is constant. Whether you are a strategic leader or a hands-on practitioner, this new cadence is built to get you quickly up to speed.

• Watch on demand: Dynamics 365 Business Applications Update
• Watch on demand: Power Platform and Copilot Studio Business Applications Update

The post 2026 release wave 1 plans for Microsoft Dynamics 365, Microsoft Power Platform, and Copilot Studio offerings appeared first on Microsoft Dynamics 365 Blog.

Enterprise resource planning (ERP) decisions are among the most consequential investments a business can make; shaping how organizations operate, scale, and compete for years to come. Yet many ERP transformations have historically carried risk: high costs, long timelines, heavy customization, and uncertain returns.

To bring clarity to these decisions, Microsoft commissioned Forrester Consulting to conduct two independent Total Economic Impact™ (TEI) studies examining the business value of Microsoft Dynamics 365 ERP on enterprises and midmarket organizations.

• The Total Economic Impact™ of Microsoft Dynamics 365 ERP for Enterprises
• The Total Economic Impact™ of Microsoft Dynamics 365 ERP for Midmarket Organizations

From fragmentation to integration: Why ERP modernization matters

Across both 2026 studies, Forrester’s projections showed organizations from a similar place: fragmented ERP landscapes, siloed data, manual processes, and highly customized legacy systems that were difficult to upgrade or scale. These environments could limit real-time visibility, slow decision-making, and increased operational risk; particularly as organizations grew, expanded into new markets, or managed increasingly complex supply chains. These constraints didn’t just slow operations; they could limit a leader’s ability to respond to volatility, growth, and supply chain disruption with confidence.

In response, organizations turned to Microsoft Dynamics 365 ERP to consolidate finance and supply chain operations with a unified, cloud-based platform. By centralizing data and standardizing processes, organizations can improve operational efficiency and gain timely, actionable insights across the business.

Importantly, this shift reframed ERP from a back-office system of record to a platform for informed, faster decision-making that connects data, people, and processes across the enterprise.

Quantifying business value with Forrester’s TEI methodology

The strength of the TEI studies lies in their focus on quantifiable business impact. Forrester evaluated benefits, costs, flexibility, and risks over a multi‑year period, modeling a composite organization based on real customer interviews and survey responses. This approach allows leaders to evaluate ERP investments using a transparent financial framework rather than vendor claims alone.

Enterprise ERP: Financial impact at scale

In the enterprise TEI study, Forrester modeled a composite organization representing large, complex businesses using Dynamics 365 ERP. The analysis projects that over three years, the organization achieved:

• 101% return on investment (ROI)
• Net present value (NPV) of $12.9 million

These results were driven by a combination of operational efficiency gains, productivity improvements, and cost reductions, particularly from consolidating legacy systems and reducing infrastructure and IT operations spend.

The study highlights that value did not come from isolated features, but from standardizing processes, unifying data across finance and supply chain functions, and reducing reliance on heavily customized, on-premises ERP environments.

Key enterprise findings business leaders should note

For business decision makers evaluating ERP at scale, several findings stand out:

• Improved operational efficiency and productivity can be enabled through streamlined workflows and better access to real-time insights
• Reduced infrastructure and IT operations costs can be enabled by retiring multiple legacy systems and shifting to a cloud-based ERP model
• Faster, more confident decision making enabled by unified financial and supply-chain data

Together, these benefits contributed directly to the projected positive NPV and ROI modeled in the study, reinforcing ERP modernization as a business investment, not just an IT upgrade.

Midmarket ERP: Enterprise-grade value without enterprise complexity

While enterprises face complexity at scale, midmarket organizations often face a different challenge: how to grow without adding disproportionate cost or operational overhead. Forrester’s Total Economic Impact™ study of Microsoft Dynamics 365 ERP for midmarket organizations examined how modern ERP can support expansion, improve visibility, and standardize operations without the burden of traditional enterprise‑scale implementations.

In the study, Forrester modeled a composite midmarket organization based on customer interviews and survey data. The analysis projects that the organization would achieve:

• Payback in 16 months
• Net present value (NPV) of $3.3 million over three years

These outcomes were driven by streamlined finance and supply chain operations, automation of manual processes, and the replacement of disconnected legacy systems with a single, cloud‑based ERP platform. By consolidating systems and standardizing processes, organizations can reduce operational friction while supporting improved visibility and control across the business.

Key midmarket findings business leaders should note

For midmarket decision-makers, the study highlights several critical outcomes:

• Enabled faster time-to-value, with measurable financial returns realized in just over a year
• Enabled improvements to operational efficiency and productivity through streamlined finance and supply chain processes and automation of manual tasks
• Potentially reduced complexity and IT overhead by replacing disconnected legacy systems with a unified cloud ERP platform

These benefits contributed directly to the projected positive NPV and rapid payback modeled in the study, reinforcing ERP modernization as a financially disciplined investment for midmarket organizations focused on growth and resilience.

Why independent research matters for ERP decisions

ERP investments shape the future of an organization for years—sometimes decades. That’s why independent, third-party validation is critical. The Forrester TEI studies do not ask leaders to accept conclusions at face value; instead, they provide:

• A transparent financial model
• Explicit assumptions and risk adjustments
• Clear linkage between operational improvements and economic outcomes

For executives, CFOs, COOs, and IT leaders, these studies offer a common language for aligning stakeholders and setting realistic expectations for ERP transformation.

Go deeper: Explore the full Forrester TEI studies

This summary only scratches the surface. The full Forrester Total Economic Impact™ studies include detailed benefit breakdowns, cost considerations, and financial modeling that business leaders can adapt to their own organizations.

• The Total Economic Impact™ of Microsoft Dynamics 365 ERP for Enterprises
• The Total Economic Impact™ of Microsoft Dynamics 365 ERP for Midmarket Organizations

For organizations considering ERP modernization, these studies provide a data-driven foundation to evaluate options, build a credible business case, and make informed decisions with confidence.

The post Forrester studies project more than 100% ROI for enterprises and 16-month payback for midmarket organizations using Dynamics 365 ERP appeared first on Microsoft Dynamics 365 Blog.

When customers place an order, they expect speed, accuracy, and reliability. Behind the scenes, inventory-to-deliver processes are what makes that promise possible, helping to ensure the right products are available at the right time to meet customer expectations while controlling costs. For operational professionals, inventory isn’t just a number on a spreadsheet, it’s the lifeline of the supply chain. It determines whether you can fulfill demand without delays, avoid costly stockouts, and keep working capital flowing. From procurement and production to fulfillment and customer satisfaction, inventory-to-deliver impacts every aspect of the supply chain.

In today’s fast-paced market, poor inventory visibility can lead to stockouts, excess holding costs, and missed revenue opportunities. Conversely, a well-orchestrated inventory strategy drives efficiency, reduces waste, and strengthens resilience against disruptions. It enables businesses to optimize working capital, improve cash flow, and deliver on promises consistently. So, how can an agent-ready enterprise resource planning (ERP) platform reinvent the inventory-to-deliver process?

Microsoft Cloud and agent platform enables inventory to deliver transformation

Microsoft Dynamics 365 can transform inventory management from a reactive task into a strategic advantage with an agent-ready foundation that spans across finance, supply chain, sales, and operations for a single source of truth that is both scalable and secure.

This same data foundation enables customers to buy, build, and customize agents to infuse across processes. For a refresher on understanding the agent landscape available today, visit Reinventing business process with AI: Agents in record to report where we explore the difference between first party, third party, and custom agents.

Automate vendor communication with a first party agent from Dynamics 365

The Supplier Communications Agent in Dynamics 365 Supply Chain Management is designed to automate routine procurement communications between purchasing teams and vendors. Traditionally, these interactions—such as following up on purchase orders or confirming changes—are manual, repetitive, and often handled via email, even in organizations using electronic data interchange (EDI). The Supplier Communications Agent can streamline these low-complexity tasks by automating vendor outreach and updates, freeing procurement professionals to focus on strategic activities. This not only seeks to improve efficiency but also reduces overall procurement costs by minimizing time spent on administrative work.

Explore partner agents to support the inventory to deliver process

Model Context Protocol (MCP) servers are configurable bridges between the business data within your line-of-business apps and the partner or custom-built agents you want to use. MCP serves as a universal intermediary, unlocking access to a unified platform and app data, modernizing how AI agents are interoperable with your apps. Let’s explore a few partner-built agents that will help you realize value across your supply chain today.

Warehouse Advisor Agent by MCA Connect

The Warehouse Advisor Agent leverages machine learning and predictive analytics to automate and improve key processes such as slotting, inventory consolidation, and cycle counting. By analyzing real-time data and historical trends, the agent delivers actionable insights that help warehouse teams make smarter, faster decisions.

This solution is ideal for warehouse managers, operations leaders, and supply chain professionals in distribution and manufacturing industries who are looking to reduce inefficiencies, improve inventory accuracy, and increase labor productivity. It integrates seamlessly with Dynamics 365’s Warehouse Management System (WMS), enabling users to deploy intelligent automation without disrupting existing workflows.

Inventory Acquisition and Re‑Balancing Agent from RSM

The Inventory Acquisition and Re‑Balancing Agent from RSM enables smarter inventory decisions by analyzing demand signals, supply availability, and stock imbalances in Dynamics 365. The agent can recommend rebalancing and acquisition actions to reduce stockouts, minimize excess inventory, and improve working capital efficiency.

Inbound Load Agent from Fellowmind

Fellowmind’s Inbound Load Agent can streamline inbound logistics by intelligently composing and optimizing loads based on demand, capacity, and operational constraints within Dynamics 365. The agent seeks to help logistics teams reduce transportation costs, improve warehouse utilization, and simplify complex inbound planning decisions.

Get started with agents for inventory-to-deliver processes

The Microsoft platform brings together secure, scalable cloud services with Dynamics 365’s unified ERP capabilities to streamline the entire inventory-to-delivery process. By leveraging real-time data and intelligent workflows, businesses gain supply chain agility to better meet customer expectations with precision. Partner-built agents, powered by MCP, amplify this value, enabling autonomous actions and predictive insights that transform operations from reactive to proactive. Together, these innovations create a resilient, future-ready foundation for delivering efficiency and growth at scale.

The post Agentic AI for inventory to deliver: From procurement to fulfillment appeared first on Microsoft Dynamics 365 Blog.

In October 2025, we announced the general availability of the Sales Qualification Agent (SQA) in Dynamics 365 Sales—a breakthrough in autonomous lead qualification. Sales Qualification Agent empowers sellers by helping build higher quality opportunity while eliminating tedious, repetitive work. Sales Qualification Agent autonomously researches every lead, initiates personalized outreach, and engages prospects to understand purchase intent, ensuring that sellers spend their time meeting prospects who are ready to take the next step. With modes enabling both seller-driven and fully autonomous qualification, the agent supports a key goal for sales organizations—increasing revenue per seller.

Customers are using Sales Qualification Agent in two ways: 

1. Helping boost revenue beyond current sales capacity
   • Responding to inbound leads within minutes instead of days, increasing response rates and in turn, qualified opportunities.
   • Engaging leads that sellers are unable to follow up on due to capacity constraints, or those deemed economically unviable to pursue.
   • Increasing pipeline quality by focusing the seller’s time on a handful of high intent, engaged leads recommended by the agent.
2. Helping reduce sales costs
   • Reducing back-office costs related to lead research and validation, using Sales Qualification Agent in “Research only” mode to hand-off only the leads that meet the ideal customer profile criteria.
   • Automatically disqualifying low-quality leads, saving hours of seller time during the week.

Continuing benchmarking the quality of sales AI agents

Microsoft is building the future of agentic Sales technology with prebuilt AI agents, such as Sales Qualification Agent, the Sales Research Agent, and the Sales Close Agent available in Dynamics 365.

At Microsoft, we’re committed to delivering quality, trust, and transparency with our agents, and that requires rigorous evaluation. As we continue to build new agents and improve existing ones for critical sales workflows, evaluation benchmarks provide a structured and transparent way for our customers to measure quality for the jobs the agent does.

Today, we’re announcing the Microsoft Sales Bench—a new collection of evaluation benchmarks designed to assess the performance of AI-powered sales agents across real-world scenarios. This framework brings together purpose-built metrics, hundreds of sales-specific scenarios, and composite scoring validated by both human and AI judges.

The Sales Bench isn’t starting from scratch. It now formalizes and expands what began with the Sales Research Bench, published on October 21, 2025, which evaluates how AI solutions answer business research questions for sales leaders.

Today, we’re extending the Microsoft Sales Bench with a second benchmark: the Microsoft Sales Qualification Bench, focused on measuring how effectively AI agents qualify leads and generate high-quality pipeline.

Introducing the Sales Qualification Bench for lead qualification

This Microsoft Sales Qualification Bench evolved from rigorous evaluations we conducted since the Sales Qualification Agent’s public preview in April, with the goal of objectively measuring quality as we further developed the agent, partnering with customers from a diverse set of industries. Since the preview, we measured every update against these standards, ensuring improvements are real and repeatable.

We generated a synthetic dataset modeled after companies from three different industries, with 300 leads, with attributes such as name, company, and email ID—representative of what sales teams typically work with before any enrichment or hygiene is performed. In addition to these typical attributes, we also added key knowledge inputs such as value proposition of the products being sold, customer case studies, and documentation for answering customer questions.

In addition to Sales Qualification Agent, we used the evaluation framework to measure ChatGPT by OpenAI on the same dataset. Since we didn’t have access to an autonomous agent from OpenAI, we mimicked how a human seller would use ChatGPT to recreate the three key jobs SQA performs. We provided each system—Sales Qualification Agent and ChatGPT—the exact same lead inputs, knowledge sources, and contextual signals under controlled evaluation configurations. We used a ChatGPT Pro license with GPT-4.1. This model is the closest match (and slightly better) to Sales Qualification Agent’s GPT-4.1 mini, which we intentionally chose to deliver optimal quality at lower cost per lead than newer models. Additionally, Pro license was chosen to optimize for quality: ChatGPT’s pricing page describes Pro as “full access to the best of ChatGPT.”¹

The framework evaluates outputs from the three jobs across Sales Qualification Agent and ChatGPT:

• Research: Company research for the lead—background, strategic priorities, financial health, and latest news.
• Outreach: A personalized email generated based on research, to make initial contact with the lead.
• Engagement: The agent’s conversation with a lead until it’s qualified or dispositioned.

Our scoring metrics span core quality (accuracy, relevance, completeness), trustworthiness (grounding and citations), and business-specific success criteria (e.g., relevancy of company research to highlight interest in the seller’s offerings, personalization of the initial outreach emails sent to catch the lead’s attention, accuracy of responses to the lead’s questions to drive purchase intent, and the timing of handoff to a seller when the lead is ready to engage).

Outputs were scored independently by both human reviewers and an LLM judge built with GPT-5.1, using a 1–10 scale for each metric. These metric-specific scores were then rolled up using a simple average to produce a composite quality score. The result is a rigorous benchmark presenting a composite score and dimension-specific scores to reveal where agents excel or need improvement. Our methodology, metrics, and their definitions are described in this technical blog.

Results

In evaluations completed on December 4, 2025, using the Sales Qualification Bench, Sales Qualification Agent outperformed ChatGPT on each of the three jobs required for sales qualification:

1. Research: The Sales Qualification Agent outperformed ChatGPT with 6% higher aggregate scores, leading on relevancy and completeness in research results that highlighted the lead company’s interest in the seller’s offerings.
2. Outreach: Sales Qualification Agent demonstrated 20% better results compared to ChatGPT, generating email drafts with accurate personalization and mentions of relevant recent events that will resonate with the lead.
3. Engagement: Sales Qualification Agent’s email responses to engage a lead over a multi-turn conversation scored 16% higher than ChatGPT’s. SQA generated emails that responded to the lead’s questions with accurate answers that develop their purchase interest and with precise discovery questions that qualify the lead before handing off to a seller.

In addition to performing better on these metrics, Sales Qualification Agent has the ability to run autonomously, which can help significantly reduce the time spent generating pipeline while helping sales teams build better quality pipeline.

Sales Qualification Agent scores well on these three jobs as its optimized for sales-specific scenarios and uses the following techniques to get great results:

1. It uses agentic Retrieval Augmented Generation (RAG) to relentlessly research each lead, ensuring greater completeness. More on this in the following section.
2. With knowledge of what the company sells, it can contextualize every workflow to increase relevancy for both the seller and the lead.
3. It can retrieve organizational knowledge from attached documents and internal repositories like SharePoint with greater precision, boosting accuracy of its responses when engaging with the lead.

The technical blog details which metrics SQA excels at relative to ChatGPT, where it falls short, and why.

Translating evals to real-world impact

Running evals led to major Sales Qualification Agent improvements during its six-month preview. Early results prompted us to try agentic AI design patterns, especially agentic RAG, which improved our company research by allowing iterative web searches and real-time reasoning. They also led us to enhance data coverage by auto-linking existing CRM records to each lead and inferring company names from lead emails. These updates provided sellers with deeper insights, revealing strategic opportunities and risks beyond basic facts.

For instance, when researching leads for a security company, Sales Qualification Agent can link news on recent cyberattacks to increased demand for its software. As highlighted in the technical blog, research synthesized by the agent makes such inferences more consistently than ChatGPT. Enhancing the agent’s research also improved the relevance and personalization of outreach emails, helping agents better engage leads and clarify their ability and intent to purchase before handing them off to sellers.

Sandvik Coromant, a leader in precision cutting tools, partnered with us to pilot Sales Qualification Agent for their Digital Commerce program. After the updates, Pia Cedendahl, Global Sales Manager for Strategic Channels/Partners and Online Sales, noted, “Sales Qualification Agent’s answers became far more on-point to our business—it’s like having a research assistant that already understands what we care about.” Sandvik Coromant saw improved lead conversion and higher engagement from their Digital Account Managers, validating the impact of our evaluation-driven approach. Pia joined Microsoft leaders at the Microsoft Ignite 2025 session, “Accelerate revenue and seller productivity with agentic CRM,” where she shared how the team saved more than 120 hours and $19,000 in just the first three weeks since launching a pilot, and forecasted a 5% increase in revenue with full rollout.

Better insights, more personalization, proven value

Equipped with agentic AI design and backed by data-driven evaluation, customers can confidently use the Sales Qualification Agents so that:

• Sellers receive comprehensive company overviews, timely news highlights, and actionable recommendations that are consistently delivered with high quality—drawing a clear line from insight to action.
• Sales leaders can expand their qualified pipeline cost efficiently, with the agent ensuring high lead quality.
• Prospects benefit from more personalized outreach, enhancing their experience and supporting increased conversion rates.

What’s next

We’ll continue to refine Sales Qualification Agent using agentic design patterns, aiming to make every improvement measurable and meaningful. Stay tuned for the full evaluation results and methodology for the Sales Qualification Bench, which will be published for transparency and reproducibility. We also intend to add more evaluation frameworks and benchmarks to the Microsoft Sales Bench collection including benchmarks that cover future sales agent capabilities.

¹ChatGPT pricing page, accessed November 24, 2025

The post Dynamics 365 sets the bar for agentic sales qualification on new benchmark appeared first on Microsoft Dynamics 365 Blog.

The way we work is transforming. Generative AI and agentic business applications are catalysts for a profound shift in how we create, collaborate, and make decisions. What once took hours now happens in moments. Ideas move faster, insights surface sooner, and the boundaries between human creativity and machine capability are blurring. This isn’t the future—it’s unfolding now, and it’s changing the very fabric of how businesses operate.

It’s a move from systems of record to systems of action. In this new era, AI agents go beyond support—they help interpret signals, uncover patterns, and initiate actions and continuously optimize processes on your behalf. At Convergence 2025, December 9–12, we’ll explore how organizations can build an AI-first autonomous enterprise powered by data, copilots, and agents working together across Microsoft Dynamics 365 and the Microsoft Cloud.

From automation to autonomy: The AI-first organization

Businesses have long pursued automation to streamline operations. The next leap is autonomy—systems that interpret signals across the business, adapt workflows in real time, and anticipate decisions. Autonomous enterprises go beyond efficiency—they are driven, adaptive, and human-centered, with intelligent systems that understand context, collaborate across processes, and deliver measurable outcomes.

We believe the recognition of Microsoft Dynamics 365 Leader placement in Gartner® Magic Quadrant™ and IDC MarketScape reports reinforces our ability to connect front-end and back-end operations into one intelligent ecosystem. Our leadership is grounded in the breadth of the Microsoft Cloud, the depth of our data estate, and our ability to bring AI, analytics, and business applications together as a unified platform to accelerate end-to-end AI transformation.

Agentic business applications are built on three connected pillars: data, Copilot, and agents—working together to change how work gets done.

1. Data: The foundation of agent autonomy

Most business processes begin with data. Finance close, order-to-cash, customer insights, case resolution, supply chain planning, field service, HR workflows—each depends on complete, connected, trusted information. When this data is fragmented across systems, agents can’t act with autonomy, and AI can only answer questions instead of accelerating outcomes.

Dynamics 365 spans both front-office and back-office operations—customer relationship management (CRM) and enterprise resource planning (ERP)—providing a continuous, end-to-end view of customers, employees, finances, supply chain, and operations. This structured, governed, and auditable data is the backbone of business processes—how work flows, how controls are enforced, and how organizations maintain compliance at scale.

As business model innovation becomes even more important, we continue to invest deeply in these core applications. We’re expanding capabilities across ERP and CRM, investing in bringing Microsoft Fabric, Microsoft Copilot Studio, and Microsoft Power Platform closer to Dynamics 365 than ever before. From connected frontlines to adaptive supply chains, business applications are becoming composable, intelligent, and outcome-driven—helping customers innovate more quickly while maintaining trust, security, and governance, adapt faster, redesign workflows, and build the operational integrity required for agent-powered processes. At Convergence 2025, you’ll see how Dynamics 365 continues to evolve as the operational engine of AI-first organizations.

At Microsoft Ignite 2025, we announced major advances in how agents connect with ERP systems. The Dynamics 365 ERP Model Context Protocol (MCP) server is evolving from static actions to a dynamic, configurable framework that adapts as business needs evolve. A new analytics MCP server extends this capability to structured metrics and insights, supporting agents to reason over governed operational and financial data—not snapshots or exports, but live business signals. Together, these updates unify data, logic, and actions into a common protocol that can simplify integration and accelerate automation.

And with MCP designed for massive scale—including support of millions of ERP actions—organizations gain the performance and extensibility required for agent-powered business processes at enterprise scale.

The entire Microsoft data and application stack—Dynamics 365 ERP and CRM, Dataverse, Fabric, and more—forms the operational engine of agentic transformation. It provides the structure, governance, and adaptability required to support AI-powered business models and next-generation workflows.

2. Microsoft 365 Copilot: Your strategic productivity partner

Copilot continues to help transform productivity across many roles. It helps sales teams move deals forward, finance teams accelerate reconciliation, and service teams resolve issues before they escalate. But Copilot is more than an assistant—it’s the connective layer that links people, data, and systems, understanding intent, orchestrating workflows, and guiding decisions across Dynamics 365, Power Platform, and Microsoft 365.

3. Agents: Plan, decide, and act

We expect AI agents will be core to how businesses operate—planning, deciding, and acting across systems to accelerate outcomes. These agents will interpret signals, identify patterns, and initiate actions to keep the business in motion.

Microsoft’s strategy spans the full agent ecosystem: first-party embedded agents inside Dynamics 365, agents for specialized industries that can be customized and extended by partners, specific partner-built agents, and custom agents created by organizations through Microsoft Copilot Studio. All share the same security, governance, and identity foundation.

For small to mid-sized businesses, Dynamics 365 Business Central brings agents directly into everyday finance and operations. The Sales Order Agent creates, validates, and updates sales orders which can help improve accuracy and speed by reducing manual entry and exception management. The Payables Agent automates vendor invoices and reconciliations, improving control while freeing finance teams from repetitive tasks. Together, these agents help Business Central customers modernize core processes with governed, AI-powered actions that keep work flowing across purchasing, sales, and accounting.

Across Dynamics 365 finance and operations, embedded agents are transforming core processes—from time and expense entry in Project Operations, to supplier outreach in Supply Chain Management, to reconciliations in Finance and technician scheduling in Field Service. These agents help reduce manual effort and bring greater precision and autonomy to everyday operations.

At Convergence 2025, we’re also thrilled to announce the public preview of the Product Change Management Agent Template—an AI-powered solution that transforms how manufacturers manage the process of change across equipment, products, and processes changes. Built on Copilot Studio, the agent automates workflows and connects critical systems, helping teams cut approval times from weeks to days, reduce errors, and bring innovations to market, faster. Learn how customers like Coca-Cola Beverages Africa (CCBA) are using this agent template to optimize their manufacturing operations.

Partner-built agents that extend industry workflows

Partners are building agents that extend domain workflows and connect directly to Dynamics 365 through the MCP. These solutions show how agent-to-agent coordination and cross-system reasoning will define the next era of enterprise automation.

Shop Floor by RSM helps manufacturers gain real-time visibility across production by bringing job details, quality checks, and operational signals into one experience. It can surface issues as they occur and support teams in resolving them quickly, helping to reduce disruptions and maintain consistent output. By connecting workers, data, and actions on the floor, the agent can support more resilient, adaptive manufacturing operations.

The PayFlow Agent by HSO helps finance teams manage vendor payment inquiries with greater speed and accuracy. It analyzes incoming emails, retrieves live payment data from Dynamics 365, and responds with up-to-date status information—which can reduce manual effort and help vendors receive clear, timely communication. The agent streamlines payment cycles and can improve transparency across accounts payable.

The Quality Impact Recall Agent by Cegeka helps organizations identify product quality issues and trace their impact across inventory and customer shipments. It coordinates notifications, guides corrective steps, and streamlines recall preparedness, which can help teams act quickly when risks emerge and maintain trust in the products they deliver.

Factorial connects to the Dynamics 365 Business Central MCP Server to deliver a new agent-to-agent experience. You can use a single Copilot interface to pull, exchange, and act on data across the systems. For example, within expense workflows, Factorial’s agent can request, validate, and reconcile financial data directly with Business Central.

Zensai’s agent integrates with Dynamics 365 Business Central to transform an organization’s operational signals into aligned goals and check-ins inside Microsoft 365. Built in Copilot Studio and connected through MCP for Dynamics 365, the agent converts finance, compliance, HR, and sales insights into structured, cascaded goals within Perform 365. At Convergence 2025, you’ll see how these first-party, partner, and custom-built agents form a connected ecosystem—and how organizations are already using them to move from automation to autonomy.

Convergence 2025

Convergence has always been where our community comes together to learn, connect, and imagine what’s next—and this year we’re reigniting that tradition at a moment of extraordinary change.

Throughout the event you’ll see how organizations are moving from systems of record to systems of agency, and how you can apply these ideas to accelerate your own AI transformation. I’m excited for you to experience everything we’ve been building.

• Learn more about Convergence
• Explore agentic business applications and agentic ERP solutions
• Sign up to receive 2026 Convergence updates

The post The era of agentic business applications arrives at Convergence 2025 appeared first on Microsoft Dynamics 365 Blog.

As finance leaders scale to meet growing business complexity—spanning global entities, evolving regulations, and rising business performance demands—the pressure is on to do more than close the books. Today’s finance organizations must move faster, manage risk more proactively, and adapt dynamically.

That requires more than automation, it demands a new era of ERP. One where systems don’t just record and report, but act, learn, and adapt—where AI agents, embedded in everyday workflows, help finance teams manage complexity, reduce manual effort, and accelerate decision-making.

At Gartner CFO & Finance Executive Conference 2025—taking place at the Gaylord National Resort and Convention Center—we’re showcasing how Microsoft is enabling this shift. Visit our team of technical specialists at Booth #313 and attend our keynote to see how Microsoft is helping finance teams develop and implement AI strategies that align with business goals—without compromising on governance, compliance, or security.

Global-scale financial operations for the modern CFO

As organizations adapt to shifting markets—whether by entering new regions, adjusting product strategies, or responding to evolving regulations—financial operations become more complex. Finance teams are tasked with managing activity across multiple legal entities, currencies, and accounting standards, all while ensuring accuracy, compliance, and transparency. What was once the domain of large multinational companies is now a day-to-day reality for businesses of all sizes. As a result, global-scale financial operations have shifted from being a specialized need within your business systems to a core capability.

This evolving reality is creating a new baseline for finance transformation. Global-scale financial operations are no longer a niche requirement—they’re an operational necessity. Finance teams must support complex processes like consolidation, allocations, revaluation, and compliance across geographies and systems, while maintaining accuracy and transparency.

Microsoft Dynamics 365 Finance provides this foundation with capabilities that include:

• Multi-entity journal processing from a single experience.
• Multi-ledger automation to support International Financial Reporting Standards (IFRS), United States Generally Accepted Accounting Principles (US GAAP), and local standards.
• Cross-entity allocations, revaluations, and close activities.
• Shared hierarchies for business units, customers, vendors, and financial dimensions.
• Integrated consolidation and reporting across systems and geographies.

These features help finance organizations simplify complexity and operate with greater agility and precision—without increasing overhead.

Investing in the future of global-scale finance and agentic operations

As business models continue to evolve and financial complexity deepens, Microsoft is making foundational investments to support the next generation of finance operations. Our roadmap for Dynamics 365 Finance focuses on deepening multi-entity and multi-ledger capabilities, accelerating period-end close, and enabling flexible data hierarchies across legal entities, currencies, and accounting standards. Here are a few things we’re investing in:

• Multi-entity and intercompany operations are often constrained by fragmented processes and manual handoffs across legal entities. A new approach is needed to streamline activity across the organization, reduce duplication, and increase control—all without scaling up effort or cost.
• Multi-ledger accounting is becoming essential as more companies operate in jurisdictions that require parallel accounting standards. Traditional methods often rely on offline reconciliation or separate systems. We’re investing in ways to maintain compliance and transparency while reducing complexity.
• Accelerating period-end close remains one of the most persistent challenges for finance teams. Time-consuming reconciliations, disconnected systems, and limited visibility into task status slow down the close. We’re focusing on integrated task orchestration, automation, and embedded intelligence to improve agility and confidence.
• Flexible data hierarchies are increasingly essential as organizations grow and restructure—they help introduce new business units, financial dimensions, and operational models. We’re evolving to provide more support for shared, adaptable hierarchies across entities and dimensions to improve enterprise-wide reporting, planning agility, and compliance alignment.

At the center of this is a new vision for ERP—one that supports your organization’s shift to a more autonomous enterprise. This model brings together adaptive user experiences, AI agents, and a set of modular, extensible capabilities that can be accessed across applications and workflows. Finance professionals can interact with the system in natural language, receive guided recommendations, and delegate tasks to AI-powered agents embedded directly within their daily workflows. At the same time, these systems are becoming more interoperable—able to connect data, coordinate actions, and deliver outcomes across complex organizational structures.

We’re building financial operations solutions that don’t just keep pace with change, they help you lead it.

From intelligent tools to more autonomous financial operations

While intelligent automation has improved efficiency across finance processes, the next phase of transformation will require more than assistance. This next phase calls for intelligent systems that act with autonomy and help finance teams stay ahead of increasing demands.

Microsoft is delivering both embedded and the ability to build AI agents to support this shift:

• The Account Reconciliation Agent, embedded in Dynamics 365 Finance, helps automate transaction matching, flag discrepancies, and reduces time spent on period-end close activities. Watch the Account Reconciliation Agent here.
• The Finance Reconciliation Agent, available in Excel, enables intelligent reconciliation of data sets from across the business using familiar tools. Watch the Finance Reconciliation Agent here.
• Custom finance agents, built with Microsoft Copilot Studio, allow organizations to design their own agent experiences—supporting processes like allocation modeling, compliance validation, or internal control workflows tailored to their unique operating model.

This approach to AI implementation represents a new layer of the finance IT stack—one that not only reduces manual workload but allows you to use and create agents that work for you to enhances accuracy, accountability, and insight.

Gartner CFO & Finance Executive Conference 2025

Learn how Microsoft helps finance teams develop and implement AI strategies.

Register today

Visit Microsoft at Booth #313

If you’re attending Gartner CFO & Finance Executive Conference 2025, we invite you to connect with us in person.

At Booth #313, you can:

• See Microsoft’s first-party finance agents in action.
• Explore how Dynamics 365 is powering global-scale financial operations today.
• Learn how to build custom agents with Copilot Studio.
• Hear how Microsoft’s own finance organization is applying these tools to modernize operations.

Join us for our featured session on May 20 at 3:15 PM Eastern Time (UTC – 4) in Potomac B, available on-demand to attendees only:

• Session title: Unlocking Business Value with AI-Enabled Outcomes
• Speakers: April Olson (Dynamics 365 Finance), Cory Hrncirik (Modern Finance), Stephanie Dart (Product Marketing)
• What to expect: Learn how Microsoft is applying cutting-edge AI to transform finance operations—from reconciliation and forecasting to policy guidance and close review. We’ll share practical examples from our own finance organization, highlight new agent capabilities, and offer guidance on how to begin implementing agent-based automation in your own enterprise.

Whether your finance team supports 10 legal entities or hundreds, the tools to manage complexity, enhance insight, and drive transformation are available now.

Let us show you what’s next in financial and agentic operations, and how Microsoft can help you lead the way.

The post See what’s next in financial operations from Microsoft Dynamics 365 at Gartner CFO & Finance Executive Conference 2025 appeared first on Microsoft Dynamics 365 Blog.

This week, thousands of manufacturers will gather at Hannover Messe 2025 for insights into solutions to unprecedented challenges, from rising energy costs to supply chain disruptions, workforce shortages to geopolitical conflicts. Top of mind for many attendees is how AI agent-led automation, production, and supply chain processes can help empower a high-performance and sustainable industry.

To help answer these questions, Microsoft leaders and industry partners will showcase the very latest AI innovation for manufacturers designed to help address today’s most critical challenges.

Dynamics 365 ERP solutions

Infuse AI across business processes and workflows.

Contact us to learn more

AI agents will transform manufacturing in 2025 and beyond

Moving forward, four transformative trends will set the pace of growth and success in the evolving manufacturing landscape:

• Improving supply chain operations
• Driving operational excellence with operational technology data from siloed sources
• Delivering great customer experience
• Increasing energy efficiency and employee productivity

At the Microsoft expo booth, manufacturers will learn how they can achieve these trends by using agents across critical business processes and workflows with Microsoft Dynamics 365 autonomous ERP solutions.

Improving supply chain operations with AI agents

Manufacturers face increasing supply chain challenges, from fluctuating customer demand to geopolitical uncertainties that can pressure organizations to restructure supply chains or reshore operations to unaffected regions. It’s imperative to have the agility to adapt to rapid demand shifts while operating profitably and keeping costs in check.

AI agents can play a crucial role in manufacturing operations, autonomously monitoring processes for potential disruptions, with the ability to proactively mitigate potential issues before they’re serious issues.

The Supplier Communications Agent in Dynamics 365 autonomously manages interactions with vendors and suppliers to help ensure on-time delivery of purchase orders helping to avoid downstream delays to customers. The agent provides visibility into the supplier’s supply chain and allows teams to spend more time improving supplier relationships and negotiating better contracts, rather than firefighting shortages.

Lifetime Products—a global manufacturer of products ranging from basketball hoops to picnic tables, sheds, and kayaks—depends on Microsoft Dynamics 365 Supply Chain Management to optimize operational capabilities. In addition to handling logistics and supply chain management more effectively, the manufacturer is implementing AI agents to “rebalance” its knowledge workforce to do more with same and be more efficient rather than reduce labor.

“One of our biggest learnings has been to let the autonomous agent run its own calculations. You’ll get a more comprehensive, better result.”

—Sinahi Lopez, Global IT Functional Manager at Lifetime Products

The company is now preparing to deploy the Supplier Communications Agent in Dynamics 365, to autonomously communicate with suppliers to proactively mitigate order delays and supply chain disruptions.

Based on study with IDC, $3.5 million in annual inventory-related cost savings, using Dynamics 365, optimizing working capital​.¹

Achieving operational excellence with operational technology data from various silos

To stay competitive, manufacturers need to optimize operations by reducing costs, minimizing downtime, improving agility, and ensuring efficient production. This requires data-driven decision making that takes advantage of the industrial Internet of Things (IoT), AI-driven automation, integrated data clouds, and edge-to-cloud architectures to enable real-time insights, predictive maintenance, and quality control. Microsoft Dynamics 365 includes applications to manage finance, supply chain, sales, and customer relationships, designed to unify business data, improve efficiency, and simplify decision-making. The applications work seamlessly with Microsoft 365, which enhances productivity and collaboration with leading applications like Word, Excel, and Microsoft Teams, while Azure provides cloud infrastructure and IoT capabilities.

A key innovation is the AI agent, powered by Microsoft Copilot Studio, that automates tasks and streamlines workflows, securely grounded on data sourced from various systems by using Microsoft Dataverse as a central hub. Microsoft Fabric enhances analytics, helping businesses turn data into insights. For customization, Microsoft Power Platform offers low-code tools to build apps and automate processes, while Microsoft AppSource provides industry-specific solutions from Microsoft partners.

Together, these technologies create a connected ecosystem, reducing data silos and enabling businesses to operate more efficiently. With everything working seamlessly, organizations can focus on growth, innovation, and smarter decision-making.

Enerjisa Üretim, Türkiye’s largest private electricity generation company, replaced its legacy asset management system with Dynamics 365—a modern, user-friendly solution that provides end-to-end lifecycle management of all 312,500 assets across 29 power plants.

The organization is also transforming operations with Dynamics 365 and Azure, achieving efficiency, cost reduction, and workforce empowerment. Integration of asset management, IoT, and Microsoft Azure Digital Twins provides real-time insights for predictive maintenance. Unified systems improve data consistency, streamline workflows, and enhance collaboration, setting new standards for operational excellence in energy.

“Our equipment data is the key to operational efficiency. The Asset Management [capabilities] in Dynamics 365 extends the lifespan of critical infrastructure. By leveraging real-time data and advanced analytics, we can predict equipment failures before they happen.”

—Alper Serçe, Deputy General Manager, Enerjisa Üretim

Dynamics 365 integrates seamlessly with Enerjisa Üretim’s external systems like SAP, streamlining operations and enhancing efficiency. Real-time inventory updates from SAP into Dynamics 365 helps ensures that technicians have the right materials. And integration with HRweb and Yüklenici Entegre Sistemi (YES) optimizes resource allocation, matching skills and qualifications to work orders.

Based on study with IDC, 85% reduction in unplanned asset downtime, using Dynamics 365, ensuring smoother operations​.¹

Deliver better customer experiences

Manufacturers are facing intense global competition, making customer experience essential to maintain relevance. To differentiate and retain customer trust, they must reconsider traditional business models and explore new revenue streams like product-as-a-service and aftermarket services.

Dynamics 365 assists manufacturers in transitioning to a product-as-a-service (PaaS) model by integrating IoT, AI, automation, and flexible financial frameworks.

• Dynamics 365 Supply Chain Management and Microsoft Azure IoT enable real-time product performance monitoring and predictive maintenance, reducing downtime, helping to ensure timely spare parts delivery and streamlined logistics, which are important for service-based models.
• Microsoft Dynamics 365 Field Service uses AI and IoT data for a predictive service model, enhancing efficiency and optimizing service contracts to improve customer satisfaction.
• Microsoft Dynamics 365 Finance supports flexible pricing, pay-per-use, and subscription models, converting products into ongoing services.

Hobart Corporation, a provider of commercial food equipment, needed to modernize its field operations to better support nearly 400,000 customers across the United States and Canada and solve inefficiencies in service delivery.

By adopting Microsoft Dynamics 365 Customer Service and Field Service, Hobart standardized processes, improved dispatch accuracy, and provided field technicians with mobile access to real-time inventory and customer data. This transformation enabled quicker response times, improved first-time fix rates, and better parts availability. The solution also facilitated predictive maintenance, ensuring proactive issue resolution before failures occurred.

As a result, Hobart significantly enhanced operational efficiency, customer satisfaction, and workforce productivity, reinforcing its reputation for high-quality service.

Organizations facing similar issues can also use the recently announced Scheduling Operations Agent (SOA) for Dynamics 365 Field Service, now in preview. This AI agent creates optimized schedules for technicians, even as conditions change throughout the workday. Whether it’s traffic delays, double bookings, or last-minute cancellations, the SOA helps ensure that schedules remain efficient.

The SOA uses advanced algorithms to address common scheduling challenges. By considering factors such as technician skill sets, territories, and promised time windows, the SOA maximizes technician utilization and prioritizes work orders effectively. This enhances productivity and helps ensure that customer commitments are met accurately.

Based on study with IDC, 40% faster order and product delivery times, using Dynamics 365, increasing customer satisfaction.¹

Operating sustainably by driving energy and employee efficiencies

Manufacturers are under increasing pressure to improve energy efficiency and reduce their carbon footprint while maintaining productivity. By integrating Microsoft Dynamics 365 ERP solutions and Sustainability Manager in Microsoft Cloud for Sustainability, manufacturers can gain real-time visibility, AI-driven insights, and automated tracking to drive sustainability at scale.

Dynamics 365 ERP collects energy consumption data from IoT sensors, smart meters, and production systems, offering a comprehensive view of energy usage across facilities. This data flows into Microsoft Sustainability Manager, where AI-powered analytics identify inefficiencies, benchmark performance, and recommend optimizations. Manufacturers can track carbon emissions in real time, ensuring they meet sustainability targets.

With predictive analytics and AI-driven workload balancing, manufacturers can optimize machine usage, reduce energy waste, and lower costs. Additionally, optimized supply chain operations help minimize environmental impact through smarter logistics and material sourcing.

Camfil, a leading manufacturer of premium clean air filtration solutions, is using Dynamics 365 to enhance sustainability and profitability. By implementing Dynamics 365 with a standardized data model, Camfil has harmonized its processes across more than 30 production facilities and nearly 6,000 employees.

The integration of Dynamics 365 Finance, Dynamics 365 Supply Chain Management, Dynamics 365 Project Operations, Dynamics 365 Customer Service, and Dynamics 365 Sales has improved operations such as ordering, manufacturing, warehousing, shipping, and invoicing. This harmonization enabled by Dynamics 365 has led to better resource utilization, improved energy efficiency, a more connected and collaborative culture, and enhanced customer satisfaction through continuous innovation in air filtration systems—all contributing to a more sustainable and cost-effective manufacturing operation.

A well-empowered workforce can better manage inventory, demand planning, and supplier interactions, reducing waste and inefficiencies.

Based on study with IDC, 27% more manufacturing processes automated, 20% improvement of productivity across supply chain, procurement, and inventory management teams by using Dynamics 365 AI-powered ERP solutions.¹

Future-proof your manufacturing operations in 2025 

AI-powered solutions for ERP and service systems are more than a technological upgrade. They’re a strategic imperative for manufacturers aiming to improve the supply chain, drive operational excellence on the factory floor, deliver great customer experience, and operate sustainably and efficiently.

If you’re registered for Hannover Messe, we invite you to visit the Microsoft booth (#G06, hall 17) and join Sameer Verma, Microsoft’s GM, Dynamics 365 AI ERP, to learn how Dynamics 365 drives manufacturing excellence with AI agents. The session will take place on Monday, March 31, 2025, at 12 PM Central European Time (UTC +1).

Also, continue to visit the Dynamics 365 blog to learn more about how Dynamics 365 and Microsoft Power Platform are helping retailers reimagine the road ahead; and feel free to contact us to learn more about the Dynamics 365 AI-powered ERP system solutions. 

Source

¹ IDC White Paper, sponsored by Microsoft, The Business Value of Microsoft Dynamics 365 for Manufacturers, doc #US53226425

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