The answer usually isn’t model quality or tooling. It’s whether organizations are establishing the right constraints, setting the right ambition, and designing for scale from day one. The counterintuitive lesson I keep seeing: the organizations moving fastest are the ones that kept their guardrails tightest.

As I shared with Keith, organizations that succeed don’t treat AI as a side project. One customer we discussed, a leading American multinational financial services company, is a good example of getting this right. Their first AI deployment wasn’t about a vague AI-adoption goal, or a generalist chatbot. It focused on a concrete, human problem: employees across branches spending time searching through hundreds of forms and procedures during customer interactions. The agent allowed branch staff—across consumer, small business, and other roles—to describe what they needed in natural language and be routed instantly to the right process.

The impact was immediate: shorter wait times, smoother interactions, and more time focused on the customer, without introducing new risk. Importantly, the agent didn’t approve transactions or make financial decisions. It helped people move faster, and the guardrails were exactly what made that possible at scale.

By setting clear ambition while focused on a high-impact, low-risk use case, they were able to build confidence in the technology. They created momentum while not forcing the organization to compromise governance.

Humans stay in control

Scaling AI successfully means keeping people in the loop. I’ve seen that the most successful implementations are explicitly human led. Transparency is key. Audit trails, activity logs, and clear explanations of agent behavior build trust and make systems easier to improve over time.

Success also requires the right kind of guardrails. In regulated industry workflows, it’s not enough for an agent to be right, it needs to be explainable. For example, in a power of attorney verification—agents can handle extraction, matching, and analysis in seconds. Ambiguous or high-risk cases are escalated to humans. With agents as colleagues, teams can spend less time on routine checks and more time applying judgments where they actually matter.

Scaling without sprawl

As adoption grows, the challenge isn’t just proliferation—it’s clarity. Successful organizations distinguish between:

• Personal productivity agents.
• Team-level agents.
• Enterprise agents.

Each category carries different expectations for governance and oversight. A personal agent helping someone summarize documents doesn’t carry the same risk as an agent touching customer data across systems. Builders can solve problems for themselves or their teams, but expanding solutions generally triggers reviews and accountability.

Governance as an enabler

The fastest-moving organizations have created clear, governed pathways for experimentation and deployment of agentic solutions. New solutions are started in constrained environments with limited data access. As they prove value and maturity, they can be promoted into environments with broader reach and tighter oversight. This approach enables innovation while maintaining visibility, accountability, and control over data access and sharing.

Here’s the reality leaders can’t ignore: people will use AI regardless. The choice is whether they do it inside your platform, with your data protected and your policies enforced, or outside of it.

The urgency has changed

Over the past year what’s changed most isn’t the technology—it’s the level of urgency. Organizations no longer ask why they need AI. They ask how to govern it so they can move now.

In the organizations I’ve worked with, the platforms and controls are often already there. The differentiator is execution: choosing the right first problems, designing with governance in mind, and scaling in a way that keeps humans firmly in control.

That’s how AI moves from a pilot to production—and stays there.

Watch my full conversation with Keith Kirkpatrick to hear more real-world examples and lessons from regulated enterprises putting AI to work today.

The post Scaling AI with purpose: How organizations are balancing ambition and control appeared first on Microsoft Power Platform Blog.

Think about the last time you needed business data mid-flow—building a PowerPoint and needing the latest account details or drafting a follow-up email and wanting to confirm a record before hitting send.  You had to open a separate tab, navigate to the right view, find what you needed, and switch back – unnecessary context switching. That’s the gap we’re closing.

Starting today in preview, you can engage your model-driven apps in Microsoft 365 Copilot — giving users conversational access to their business data and giving makers a way to bring their app’s value into the flow of work. The connection is made through your app’s MCP server—a lightweight setup in Power Apps that’s automatically created and configured for your model‑driven app, registering it as an agent in Copilot and making its data available as conversational capabilities. The experience is built around three capabilities: out‑of‑the‑box grids and forms available now, and custom tools coming soon.

Grids — explore your data without leaving the conversation 

Ask Copilot a question about your business data — “Show me open accounts in the West region” or “Which cases were escalated this week?”— and it responds with an interactive grid drawn directly from your Power Apps data. Users can filter, sort, and scan records using the same views and permissions as the app itself. 

Selecting a record opens it inline, where users can review details, make edits, or keep the conversation going — asking follow-up questions, comparing records, or taking the next step without starting over. And when users need a full screen experience, a deep link is always available — one click takes them directly to the relevant view or record in the full app. 

Forms — create, view, and update records without leaving Copilot 

Forms go beyond read-only access. Users can create new records, view existing ones, or update fields—all directly in Copilot. Imagine receiving a supplier email and asking Copilot to create a new account record from it, or reviewing a contract in Word and logging the key details into your CRM without switching apps. 

Copilot surfaces the right form and, using the same underlying technology as the data entry agent in Power Apps model‑driven apps, intelligently predicts field values based on the context at hand — reducing manual input and making data entry feel effortless.

Available across the Microsoft 365 apps you already use 

These experiences aren’t limited to the Copilot chat canvas. They’re available in the Copilot surfaces across Microsoft 365—Word, Excel, PowerPoint, and more—so users can access and act on their business data right alongside the document, spreadsheet, or presentation they’re working in.

Imagine drafting a proposal in Word, opening Copilot directly within the application, and creating a new account record with fields prefilled from the document—without switching apps, without copy and pasting, without losing context.

Need to go deeper? Both grids and forms include a deep link into the full model-driven app. One click takes users directly to the relevant record or view—no navigation, no searching, context preserved. It’s not a context switch; it’s a handoff to exactly where they need to be.

Custom tools — coming soon 

For scenarios where a grid or form isn’t sufficient, makers can build custom tools — defining their own logic and UX to meet the specific needs of their users. 

Grids, forms, and custom tools are the foundation. As we learn from this preview, we’ll expand the ways makers can extend their apps into Copilot — across more surfaces, more scenarios, and deeper integrations with the Microsoft 365 ecosystem.  

Available now — get started today 

Your model-driven apps are now available in Microsoft 365 Copilot in public preview. Once a maker activates their app’s MCP server for a model-driven app, grids and forms will light up in Copilot automatically – no redesign required.

How to get started

1. Activate your app’s MCP server in Power Apps. This exposes your app’s data and experiences as callable capabilities in Microsoft 365 Copilot, with grids and forms surfacing automatically from your existing configuration. 

2. Download the app package generated by your app’s MCP. This package contains the agent definition and configuration needed to deploy your app’s experience to Microsoft 365. 

3. Deploy to Microsoft Teams or Microsoft 365. Upload the package to your tenant, and your users can immediately start interacting with your app’s data through Copilot—no further setup required on their end. 

Requires a Power Apps model‑driven app with Dataverse. This preview requires a Microsoft 365 Copilot license and a Power Apps Premium license. Custom tools—for exposing app‑specific actions beyond grids and forms—will be available in the coming weeks. Stay tuned!

The post Public Preview: Your business apps, now part of every conversation appeared first on Microsoft Power Platform Blog.

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 the Dynamics 365 Business Applications Update March 18 at 9 AM PDT
• 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 Studio continues 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 administration introduces 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 consumption 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.

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 the Dynamics 365 Business Applications Update March 18 at 9 AM PDT
• Register for the Power Platform and Copilot Studio update April 15 at 9 AM PDT

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

In a recent conversation I had with Dion Hinchcliffe at Futurum, we spent time unpacking a shift I’m seeing consistently across enterprises experimenting with AI. It’s not just about copilots or chat interfaces. It’s about something deeper: a change in how work is designed, governed, and operated when systems can reason and act with intent.

For decades, applications have been the primary interface between people and systems. Work meant navigating menus, filling out forms, and clicking through screens carefully designed to constrain what users could do. Productivity improvements came incrementally—better layouts, faster load times, and more automation behind the scenes—but the underlying engagement model stayed the same. People adapted to software.

That model no longer holds.

As organizations race to adopt AI, a new challenge is becoming clear: translating human intent into systems that can act autonomously—without sacrificing control, security, or trust. Intent-first development addresses that gap by reshaping how agentic applications are designed, governed, and delivered at scale.

Agents as the new interaction layer

Instead of teaching people how to use systems, we can let people express intent—and allow systems to determine how that intent is carried out. This is not about replacing all apps overnight. It’s about changing their role. Apps no longer need to expose every possible action through UI. Instead, they:

• Provide trusted capabilities the agent can invoke
• Enforce business rules and permissions
• Act as systems of record, not systems of navigation

As AI systems become capable of reasoning, acting, and adapting, organizations are beginning to rethink the relationship between humans and software. In an agentic model, the agent becomes the primary interaction surface. A user may no longer need to know which system to open or which workflow to follow. They can simply state what they want to achieve: open a purchase order (PO), resolve this case, prepare a customer briefing.

Behind the scenes, agents orchestrate the necessary steps across systems, policies, and data sources. Procurement rules are applied. Approvals are routed. Records are updated. The user expresses intent once; the system coordinates the work.

Agentic solutions aren’t eliminating applications, but they are changing how people engage with them. Apps are the trusted capabilities agents rely on—serving as systems of record, sources of authority, and enforcement points for business rules and permissions. Applications shift from user destinations to services agents invoke. Agents work because structure already exists.

Rethinking enterprise complexity: Orchestration over navigation

This shift becomes clearer when you look at everyday enterprise processes.

Take something as common as opening a purchase order. Today, that often means navigating multiple tools, involving several teams, and manually coordinating approvals. The complexity isn’t the work itself—it’s knowing how to move through the systems.

With an agent‑first approach, that complexity is inverted. A user can simply say they need to open a PO for a project. The agent determines which background agents are required—vendor management, policy validation, approvals—and orchestrates the process across systems without forcing the user to navigate them.

We see the same pattern emerging in CRM. Rather than sales teams manually updating records, agents can monitor emails, calls, calendars, and systems in the background—keeping data current and surfacing relevant context proactively. The agent becomes the interface to customer intelligence, while the CRM remains the authoritative store behind it.

The value here isn’t conversational UI for its own sake. It’s reducing cognitive load while preserving control.

Agents as the business logic and decision layer 

This shift also changes where business logic lives.

Traditional enterprise systems embed logic deep inside individual applications—rules, workflows, and decision trees hardcoded into each tool. That makes change expensive and reuse difficult. When requirements evolve, logic must be rewritten repeatedly across systems.

Agentic systems invert that model. Logic moves into a shared reasoning layer that sits above systems of record. Agents evaluate intent, context, and constraints, then determine which actions are required right now. Policies, best practices, and exceptions can be defined once and applied consistently across processes instead of being repeatedly embedded in individual applications.

This is where the economics of software start to change. Improvements to reasoning or decision quality can compound across organizational functions—HR, finance, operations, and customer engagement—without rebuilding each system individually. Business value shifts from static workflows to shared enterprise intelligence.

Headless agents as a new layer of digital labor 

Not all agents interact directly with people.

Many of the most impactful agents operate quietly in the background—monitoring systems, reacting to triggers, coordinating tasks autonomously. These “headless” agents update records, flag issues, generate reports, and escalate decisions only when human judgment is required.

Together, conversational and headless agents form a new layer of digital labor. Routine work is handled automatically. Humans stay focused on oversight, judgment, and exceptions. The agent doesn’t replace enterprise logic—it coordinates it.

Operating agentic systems at scale requires a control plane

One point Dion and I kept coming back to is this: the real challenge with agentic systems isn’t building the first one. It’s operating hundreds—or thousands—of them responsibly.

As agents scale across teams and geographies, the questions shift quickly. How do you maintain visibility into what agents are doing and why? How do you enforce security, policy, and compliance consistently as agents act across systems? How do you measure impact, cost, and effectiveness as usage grows?

Without a managed platform, intent first development becomes ungovernable at scale. Logic fragments. Visibility breaks down. Early experimentation turns into operational risk. Governance must mature alongside autonomy.

This is where enterprise readiness becomes decisive.

Governance, lifecycle management, observability, and control aren’t optional add‑ons. They’re the foundation that allows agents to operate safely and reliably. Successful enterprise adoptions hide complexity behind an interface that works the way people already think.  Agents don’t eliminate the need for structure—they depend on stronger, more explicit structure than traditional automation ever required.

From pilots to an enterprise operating model

Most organizations begin with pilots—and that’s the right place to start. But pilots stall when governance, ownership, and measurement are treated as afterthoughts.

The pilots that scale share common patterns: centralized policy management, clear accountability between IT and business teams, built-in monitoring, and an explicit path from experimentation to production. Governance isn’t what slows progress; it’s what gives leaders confidence to move faster.

Over time, this becomes more than a collection of use cases. It becomes an operating model. Work shifts from task execution to outcome driven orchestration. Processes move from periodic redesign to continuous optimization. Systems adapt as business intent evolves.

Building adaptive enterprise systems for an agent-first world

This shift isn’t about predicting the future. It’s about building systems that can adapt as it arrives.

Agentic transformation isn’t just a technical change. It’s an operational one—reshaping how work is designed, governed, and continuously improved across the enterprise. Organizations that invest early in the right foundations—clear intent, strong constraints, and disciplined scale—will be positioned to turn intelligent applications into a durable advantage, not a fleeting experiment.

The most successful organizations won’t ask how to bolt agents onto existing apps. They’ll ask how to redesign systems so agents can sit confidently at the front door—turning intent into action with trust, speed, and scale.

In an agent first world, applications remain systems of authority and agents simply coordinate how and when those capabilities are invoked. Apps evolve:

• From destinations → to services
• From user driven workflows → to agent orchestrated actions
• From “where work happens” → to “how work is made possible”

If you want to hear this thinking unpacked in more detail, I explore these ideas directly with Dion Hinchcliffe at Futurum—from agents as the new interaction layer, to why governance becomes more critical, not less, as autonomy increases. Our conversation gets into real enterprise examples, the challenges of moving beyond pilots, and what it actually takes to operate agentic systems at scale.

I encourage you to watch the full interview to hear how these concepts show up in practice and to learn how intent first development is shaping the future of enterprise AI.

The post From apps to agents: Rearchitecting enterprise work around intent appeared first on Microsoft Power Platform Blog.

These updates simplify how agents built with Microsoft Copilot Studio integrate with Power Pages, making it easier to bring existing agents to your site while maintaining the access controls and authentication models your organization already uses.

Support for all authentication types available in Copilot Studio

Agents hosted in Power Pages now support all authentication types available in Microsoft Copilot Studio. This allows organizations to configure agent authentication in a way that aligns best with their existing identity and security requirements.

For example, agents can now use Microsoft Entra ID authentication, enabling organizations to securely connect agent conversations with authenticated users.

By supporting the full range of authentication options, Power Pages makes it easier to build secure, identity-aware agent experiences for both internal and external users.

Test agents directly from Copilot Studio

Agents integrated within Power Pages sites can now be tested directly from within Microsoft Copilot Studio.

This enhancement allows makers to validate agent conversations and authentication flows much more efficiently during development without needing to repeatedly switch between tools.  

Bring your own Copilot Studio agent and control visibility with web roles

Power Pages now makes it easier to embed existing agents created in Microsoft Copilot Studio in your site.

You can add a custom agent to a Power Pages site and control which users can access the agent using Power Pages web roles. This enables you to manage agent availability in the same way they control access to other site content.

With web role-based visibility, you can ensure that the right users interact with the corresponding agents, whether the experience is intended for anonymous visitors, authenticated users, or specific user groups.

Learn more

To learn how to configure and enable agents in Power Pages, see the following documentation:

• Configure user authentication for agents
• Configure Microsoft Entra ID authentication for agents
• Enable agents in Power Pages

These enhancements continue to expand how agents can be integrated into Power Pages, helping makers build more secure and flexible conversational experiences for their sites.

We are looking forward to your feedback

Your feedback is crucial in shaping the future of this feature. We want to hear from you!

The post Seamlessly embed Copilot Studio agents into Power Pages appeared first on Microsoft Power Platform Blog.

Three forces are converging. The interface layer is shifting to AI assistants. Agents handle workflow orchestration. And an intelligence layer is consolidating information across structured and unstructured sources. Together, these forces mark Frontier Transformation, where AI moves beyond basic efficiency to open new opportunities for creativity, innovation and growth.

This transformation also creates a new kind of business application: one that is integrated with the AI assistant people use every day, accessible to agents and grounded in the unique intelligence of each organization.

We call these agentic business applications. The applications themselves still reflect real business processes. But how people interact with them, how work moves through them and how they connect to the rest of the business is fundamentally different.

Today, we’re taking a significant step forward in bringing agentic business applications to life across Microsoft 365, Dynamics 365, and Microsoft Power Platform.

Interact with business applications inside Copilot

Microsoft 365 Copilot is becoming an interactive workspace for business applications. Dynamics 365 Sales, Dynamics 365 Customer Service, and custom apps built with Power Apps will surface directly as agents with rich UX inside chat in Microsoft 365 Copilot. Agents using Apps SDK and MCP Apps can also bring Microsoft partner apps into the conversation, including tools teams already use, like Adobe Express, Figma, and Wix. This is the interface layer shift in practice. Instead of switching between applications, users state what they need in Copilot and the system responds. You can review data and take action without leaving the conversation. Copilot becomes the place where work gets done.

As an example, a human resources (HR) employee can now call on their custom HR app, built with Power Apps, right within Copilot to compile a list of office locations with the highest new hire counts this quarter, viewing the results in an organized table with filter options. Additionally, they can prompt the application to show the results in a map view, all without leaving their Copilot interface.

Or a customer service representative can begin their day in Microsoft 365 Copilot by reviewing a summary of priority cases they need to focus on, easily viewing and updating their data from Dynamics 365 Customer Service.

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Public preview for this capability will be available later this month for Power Apps, with availability for Dynamics 365 Sales and Dynamics 365 Customer Service launching in early April 2026. Throughout the next month, we’ll also introduce support for this capability across a handful of Microsoft partner apps, including Adobe Express, Adobe Acrobat, Base44, Box, Canva, Coursera, Figma, Miro, Monday.com, Optimizely, and Wix. All pre-built partner app experiences will be accessible via the Microsoft 365 Agent Store for users with Microsoft 365 Copilot.

Bring Copilot and agents into Dynamics 365 and Power Apps

The experience works in both directions. Microsoft 365 Copilot and agents like Researcher and Analyst will be accessible directly within Dynamics 365 Sales, Dynamics 365 Customer Service, and custom apps built with Power Apps. Employees get the same Copilot capabilities they trust across Microsoft 365 while staying grounded in their operational systems.

Customers can continue to benefit from pre-built agents in Dynamics 365, including Sales Qualification Agent, Case Management Agent, and Account Reconciliation Agent, which help teams automate routine work and focus on higher value decisions.

Consider a seller working in Dynamics 365 Sales who asks Researcher to generate a full account overview: customer relationship management (CRM) context, internal knowledge, and external research combined in one response, surfaced in place. The unit of value shifts from “find the right screen” to “get the answer and act.” This creates a more consistent experience across productivity tools and business applications. Work moves from insight to execution with less friction between systems.

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Microsoft 365 Copilot in Dynamics 365 Sales, Dynamics 365 Customer Service, and canvas apps in Power Apps will be available in public preview by early April 2026. Microsoft 365 Copilot in model-driven apps built with Power Apps will reach general availability by early April 2026. A Microsoft 365 Copilot license is required. This experience with Power Apps also requires a Power Apps premium license.

Microsoft 365 Copilot in Power Apps allows us to ask questions and make decisions directly against our Dataverse data, while also combining insights from Microsoft 365 when needed. The experience now feels truly unified, allowing our users to summarize complex operational data, trigger actions, and seamlessly access insights. We’ve seen significant increases in the value provided to both our internal solutions and customer-facing products.Peter Kestenholz, Founder & Head of Innovation, Context&

Grounded in your organization’s intelligence with Work IQ

Underpinning all of this is Work IQ. Work IQ connects signals from Microsoft 365 with operational data from Dynamics 365 and Power Apps. It follows work as it happens across documents, meetings, chats, and business processes. This is the intelligence layer: the thing that resolves entities and relationships across structured and unstructured sources, so agents and Copilot share a common understanding of what is happening across the business.

Decisions discussed in a meeting or email can connect to live data in a business application. Changes in one place surface where attention is needed elsewhere. And because this intelligence is grounded in Dataverse and your organization’s own data, actions stay aligned to real processes and real context.

For example, when a pricing change is discussed in a meeting, Work IQ understands how that decision impacts active opportunities in Dynamics 365 Sales, surfacing the affected opportunities within Copilot for review.

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Work IQ plays an important role in making business applications agentic. Without it, agents operate on partial information. With it, they act on the full context of the business.

Users with a Microsoft 365 Copilot license can experience Work IQ with Dataverse integration directly inside Power Apps, Dynamics 365 Sales, and Dynamics 365 Customer Service in public preview by early April 2026.

Learn more about how Work IQ uses Dataverse to ground Copilot in business data

See how it all comes together

Copilot, agents, and Work IQ come together as a system of work. Within that system lies a new generation of business applications: applications that understand context, respond to intent, and support execution where work actually happens. The business application stack is entering a significant architectural shift. What we’re announcing today is one step in that larger transition. We are building a platform where applications, intelligence and execution converge so teams operate with more clarity and less overhead.

You’ll see this foundation expand across Dynamics 365, Microsoft Power Platform, and Microsoft 365 as we bring more agentic capabilities into the flow of work. Agentic business applications are already taking shape.

• Tune in to the Microsoft Frontier Transformation digital event on March 9, 2026 at 8:00 AM PT.
• Register for the Business Applications Update event streaming on March 18, 2026 at 9:00 AM PT.

The post A new way of working is taking shape: Frontier Transformation appeared first on Microsoft Power Platform Blog.

Productivity is a starting point, not the goal

Most organizations begin their AI work with personal productivity: meeting summaries, drafting content, finding information faster.

There’s nothing wrong with starting there. The risk is stopping there. Tools help individuals move faster, but they don’t change how ;work flows through the business. The underlying processes stay the same. People still coordinate across systems. Measurement happens after the fact. Frontier Firms, businesses that are operationalizing AI across functions, take the next step: process-level change. They redesign workflows so that agents handle defined tasks end to end, with people stepping in where judgement and context matter most.

Systems of record are moving beyond storing data

The most effective AI deployments shift responsibility from people to agentic systems operating under clear boundaries. In customer service, agents handle routine interactions, gather context across sales, service, and billing and route complex cases with the right information attached. In finance, agents monitor payment patterns, flag exceptions, and initiate follow-up within defined limits. In both cases, the system of record is no longer a passive data store—it owns a workflow. That requires well-defined inputs, rules, and handoffs. Getting those right is the hard part!

The differentiator: governance and measurement

As agents scale, complexity arrives fast. You don’t end up with a handful of automated processes. You end up with hundreds or thousands. Without visibility, teams lose track of what is running and why. Progress in agentic CRM and ERP will not come down to who adds the most agents. It will come down to who can govern them. Frontier Firms also measure outcomes: resolution time, cash collection, pipeline velocity. Every deployment ties back to a metric that already matters to the business. If leaders can’t tell whether the system is helping, progress stalls.

What this means for business leaders

The organizations pulling ahead are redesigning processes with agents, so people can focus on work that creates real impact. That work starts small: one function, one process, one metric. Then it builds through iteration. I discuss these ideas in more detail in my conversation with Mitch Ashley, including how AI moves from experimentation into the core of how a business operates. Watch the full discussion to hear how these patterns are showing up across industries.

What else can you do?

• Turn great ideas into impactful solutions with Microsoft Power Platform
• Learn to transform your business with modern, AI-first applications in Microsoft Power Apps
• Optimize business processes with an end-to-end automation solution built for enterprise with Microsoft Power Automate

*Gartner Q&A with Roxane Edjlali, February 2025: 63% Lack AI-Ready Data

The post Agentic business transformation: What leaders need to get right appeared first on Microsoft Power Platform Blog.

This plugin is purpose-built for Power Pages. It understands table permissions, web roles, site settings, setting up authentication and Web API patterns. The code it generates is platform-aware, so you spend less time on manual configuration and more time building your site.

How it works

The plugin provides nine conversational skills covering the full lifecycle of a Power Pages single-page application (SPA) site. Here’s a typical end-to-end flow:

• Create your site (/create-site). Describe what you’re building, the pages you need, and your design preferences. The plugin scaffolds the project with your choice of framework (React, Vue, Angular, or Astro), installs dependencies, and opens a live browser preview.
• Deploy and activate (/deploy-site, /activate-site). The plugin builds your project, uploads it to Power Pages, and provisions a public URL.
• Set up your data model (/setup-datamodel). A specialized Data Model Architect agent analyzes your site’s code, checks your Dataverse environment for existing tables, and proposes a schema with an ER diagram. The plugin doesn’t create anything until you approve.
• Connect to live data (/integrate-webapi, /add-sample-data). The plugin scans your components for mock data and replaces it with production-ready API code, including typed clients, CRUD services, and framework-specific patterns. A Permissions Architect agent proposes table permissions and site settings for your review. You can also populate your tables with realistic test records.
• Add authentication and SEO (/setup-auth, /create-webroles, /add-seo). The plugin generates sign-in and sign-out functionality with Microsoft Entra ID, role-based access control, web role definitions, sitemaps, and meta tags.
• Deploy the final site (/deploy-site). A final deployment pushes your code, permissions, web roles, and site settings to your Power Pages environment.

Each skill works independently and checks its own prerequisites, so you can run them in any order. At every critical step, the plugin proposes changes and waits for your approval before it acts.

A typical end-to-end workflow

Get started

You need the following:

• Node.js 18 or later

• Power Platform CLI (PAC CLI) – latest version

• Azure CLI – latest version

• GitHub Copilot CLI or Claude Code

You also need a Power Platform environment with Power Pages and authenticated sessions for both PAC CLI and Azure CLI.

To install the plugin, open GitHub Copilot CLI or Claude Code and run the following commands:

/plugin marketplace add microsoft/power-platform-skills
/plugin install power-pages@power-platform-skills

After installation, run /create-site and describe what you want to build.

For the full walkthrough, see Get started with the Power Pages plugin for GitHub Copilot CLI and Claude Code.

Tip: New to GitHub Copilot CLI or Claude Code agentic coding tools?

Read Tips and best practices for guidance on writing effective prompts, sharing errors with context, building incrementally, and getting the most out of the plugin.

We are looking for your feedback

Your feedback helps us improve the developer experience on Power Pages. Share your thoughts and reach out on the Power Pages Community Forum. You can also submit ideas through the Power Pages Ideas portal.

The post Build Power Pages sites with AI using agentic coding tools (preview) appeared first on Microsoft Power Platform Blog.

Then, customers like you pushed us further.

You told us where agents didn’t scale, where authentication slowed runs, and where it was hard to understand why something failed—or to prove it behaved correctly. You also told us where your organization needed more control, visibility, and flexibility before rolling out CUAs broadly.

Today’s updates are a direct response to that feedback.

Computer‑using agents in Microsoft Copilot Studio now offer more model choice, stronger security and governance, and easier scale—so you can automate more of your work across web and desktop apps with confidence.

Here’s what’s new—and why it matters.

Choose the right model to navigate dynamic interfaces

Computer-using agents now support multiple foundation models, including Anthropic’s Claude Sonnet 4.5 alongside OpenAI’s Computer-Using Agent. This gives you the flexibility to choose the best fit for each agent, based on the interface and the task.

• Use OpenAI Computer-Using Agent to orchestrate multi‑step web and desktop flows.
• Opt for Anthropic Claude Sonnet 4.5 when you need high performance reasoning on dynamic user interfaces (UIs) and interpretation of dense, changing dashboards.

Secure authentication with built in credentials and Azure Key Vault

Authentication shouldn’t be the reason automations stall. Computer use now offers built‑in credentials so agents can:

• Securely perform website and desktop app logins
• Reuse them across multiple agents and automations
• Eliminate manual login prompts during runs, enabling unattended execution

For example, if an agent needs to log into a vendor portal and update a desktop ERP every night, built-in credentials now let the agent authenticate to both the web portal and the desktop app automatically. This removes manual interruptions and makes overnight processing dependable while maintaining governance controls. No need to babysit “unattended” runs.

You can choose between two storage options aligned to your governance needs: internal storage (encrypted in Microsoft Power Platform) for low-friction setup, or Azure Key Vault for enterprise-grade secret management.

Credentials are encrypted and are never exposed to the AI model, so only authorized agents can access them. This way, your security and compliance team can feel confident scaling CUAs to more scenarios.

See every computer-using agent action with session replay and audit logs

As agents touch more business‑critical systems, teams need to know what happened, why it happened, and where.

Computer use now has advanced monitoring and richer observability, so operations, security, and compliance teams can inspect behavior step‑by‑step. This includes:

• Session replay with screenshots
• Step‑by‑step action logs (with action types, coordinates, timestamps, and context)
• Run summaries (instruction text, duration, action counts, average time per action, and human escalation counts)
• Resource tracking (including websites, desktop apps, credentials used)
• Export options for offline review

But what does this look like in practice? Imagine an agent run produces an unexpected update, and your team can’t tell whether the agent misread the UI, clicked the wrong control, or encountered a hidden pop‑up.

Session replay and action logs now show exactly what the agent saw and did, pinpoint the step where the UI changed, and produce an exportable record for audit review. That way, you can fix issues faster and retain a defensible compliance trail.

Beyond the monitoring pane, compliance is further strengthened through:

• Microsoft Purview integration, sending audit logs to Purview
• Dataverse logging with configurable verbosity—choose All data, Data without screenshots, or Minimal
• Retention options from 7 days to indefinite, to match regulatory and governance requirements

Simplify infrastructure with managed Cloud PCs for computer-using agents

Scaling UI automation shouldn’t require managing fleets of desktops or fragile virtual machines. The new Cloud PC pool, powered by Windows 365 for Agents, provides fully managed cloud‑hosted machines that are Microsoft Entra joined and Intune enrolled, designed for computer use runs and built to scale with demand.

In other words, these Cloud PC pools provide managed capacity for high-volume runs when demand spikes—without the overhead of keeping dedicated hardware patched, available, and idle the rest of the time. This way, your team can handle spikes without over-provisioning hardware.

Note: For evaluation, you can create up to two Cloud PC pools per tenant with 50 hours of free usage for published autonomous agents—making it easier to pilot CUAs at scale before broader rollout.

Extend—don’t replace—your automation

If you’ve built automations with Microsoft Power Automate and RPA, computer use expands what you can automate—especially when:

• Interfaces change frequently
• APIs aren’t available
• Decision logic becomes more complex

Thankfully, you can keep classic RPA for deterministic scenarios with stable interfaces. CUAs then add flexibility and adaptive reasoning where RPA falls short (such as dynamic web apps, shifting layouts, or complex decisioning). After all, the goal isn’t to start over—it’s to modernize and extend what you already have.

For example, say you have an RPA bot that depends on fixed selectors. Historically, it broke each time a web form changed, forcing constant script updates.

Now, the RPA stays the same, while a CUA handles the variable UI portions—navigating changing layouts, interpreting dialogs, and escalating edge cases. The result? Reduced maintenance and improved reliability.

Get started and help shape what comes next

Ready to try computer‑using agents in a US‑based Copilot Studio environment?

1. Create or open an agent in Microsoft Copilot Studio.
2. Go to Tools → Add tool → New tool and select computer use.
3. Describe the task you want the agent to perform in natural language.
4. (Optional) Choose a model, configure built‑in credentials, and set up a Cloud PC pool for secure, scalable runs.

For deeper guidance, configuration details, and best practices, see the computer use documentation.

Before you go: We’re actively investing in advanced governance, operations, and scale for CUAs—and customer feedback directly informs the roadmap. Tell us what you think of the latest CUA updates today:

• Email feedback to computeruse-feedback@microsoft.com
• Join the Copilot Studio community

The post Computer-using agents now deliver more secure UI automation at scale appeared first on Microsoft Power Platform Blog.

AI agents and business teams together are redefining how modern systems are built

As I told Daniel, we’re seeing a dramatic expansion in what’s possible to build, driven by AI and agents. At the same time, we’re seeing an equally dramatic expansion in who needs to be involved. Companies that want AI to meaningfully change how they operate need the people who are doing the work every day, those who understand finance, human resources (HR), supply chain, and customer service, to be able to shape the systems they rely on. This is an imperative for success.

If more people need to shape systems, the software itself needs to change. Systems designed to require a human to click through every step bottleneck participation. Agents help shift that dynamic. They can monitor, reason, and act—with humans providing intent, oversight, and judgment. Daniel and I talked through practical examples, like refunds and fraud detection in retail where traditionally slow, manual processes can now be rethought. When agents work alongside apps and automation, they can radically accelerate how fast teams build and help them reduce costs. They also give business teams a more direct hand in improving customer experiences.

But my conversation with Daniel wasn’t about handing off everything to AI. Adopting an agent‑first means teams can spend less time wiring together steps and more time defining what should happen, where human input is required, and how outcomes can be governed.

One thing I emphasized to Daniel is that trust and governance are foundational. Systems must be observable, auditable, and adjustable. Agents need boundaries and humans need visibility into what’s happening. Black boxes that fire and forget aren’t the answer. That’s why we’re focused on higher‑level abstraction, not throwing a prompt over the fence and hoping for magic. Great systems start with planning, architecture, data modeling, and policy. We’re building experiences that help people with deep process expertise think like software architects, with AI supporting their work, not replacing human judgment.

Applications stay and they take on a different role, becoming shared spaces for human-and-agent collaboration and oversight. As I said to Daniel, the future interface is about delivering the right information to the right place at the right time.

The broader point Daniel and I kept coming back to is this: the future of enterprise software is not a single killer agent or a clever prompt. It’s a managed environment where intent turns into action—safely, repeatedly, and at scale.

That’s the shift we’re building for. And it’s the shift enterprises need to start planning for now.

Watch my full conversation with Daniel Newman from Futurum to hear us unpack what agent‑first development really means for enterprises.

What’s next for agent-first development

• Turn great ideas into impactful solutions with Microsoft Power Platform
• Learn to transform your business with modern, AI-first applications in Microsoft Power Apps
• Optimize business processes with an end-to-end automation solution built for enterprise with Microsoft Power Automate

The post The shift reshaping enterprise applications appeared first on Microsoft Power Platform Blog.