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.

What came through clearly in that conversation is that most organizations aren’t struggling to adopt agents because the technology is unsafe. They’re struggling because their governance models were built for a world that no longer exists. 

While traditional security models still depend on a clear distinction between “inside” and “outside,” and that boundary absolutely still matters. What’s changed is the pace. Agents now move fluidly across apps, data sources, and workflows often spanning environments that were designed with autonomous or semi-autonomous systems in mind.

When building an agent or app can take minutes, imposing governance models built around week-long and manual review processes quickly break down. The challenge isn’t whether to govern—it’s how. Governance has to account for blurred boundaries and apply the right oversight so teams can move fast, without losing control. 

When governance strategies boil down to “lock everything down” or “we’ll figure it out later,” the outcome is predictable: either uncontrolled adoption or shadow IT with no visibility. Neither is a win. 

The governance questions every AI agent should answer

The most effective organizations aren’t trying to stop agents. They’re figuring out how to classify risk clearly and apply the right controls at the right time. 

If governance is just a list of things people can’t do, that’s not governance—it’s a backlog of workarounds waiting to happen. Disruptors and innovators always find a way – whether it’s inside the system or outside your line of sight. When there’s no supported path to do the right thing, shadow IT isn’t a failure of discipline, it’s the natural result. Constraints without alternatives don’t stop innovation, they just push it underground, encouraging shadow IT. 

Real governance sets boundaries that let teams move fast and stay safe: 

• What data sources an agent can access 

• How broadly can it be deployed or shared 

• What actions is it allowed to take 

• What identity does it run under 

• What level of oversight applies as risk increases 

A low-risk personal productivity agent is not the same as an agent connected to a core business system. Treating them as if they are leads to predictable points of failure. You either over restrict everything and stall innovation, or you under-protect what actually matters, leaving critical systems exposed. Governance only works when it reflects the real differences in risk. 

Risk isn’t binary—and AI governance needs a risk-based model

A practical way to make this operational is a simple risk-based model. Not theoretical. Operational. 

Think in terms of graduated risk zones: 

• Low risk: constrained, self-serve scenarios where people can build and use agents with tight guardrails—limited data access, limited sharing.  In this scenario, makers don’t need to open a ticket for every idea, and IT doesn’t have to micromanage. Teams can move quickly, building with confidence, without friction, and IT can stay out of the critical path,  

• Medium risk: broader sharing, more sensitive data, more meaningful actions. These scenarios trigger review and oversight—but without resetting momentum or forcing heavyweight governance on every idea. 

• High risk: business critical workflows tied to core systems. These need deliberate control from day one. Not “nobody can build,” but “the right people build inside the right boundaries, with the right oversight.” 

The point isn’t the labels. The point is clarity. Risk is contextual. Governance should be too. 

Where governance actually gets enforced: the platform

Governance only works when it’s enforced inherently by the platform, not layered on through policy decks, emails, or spreadsheets. 

That’s why a concept of managed platform matters: Make security, governance and operations part of the platform experience—inventory, usage insight, controlled sharing, connector governance, and lifecycle management—rather than an external process held together by best intentions. 

Managed environments—our practical adoption of the managed platform concept—are a Power Platform capability, not something limited to a single product or workload. Managed environments enable teams to manage apps, automations, pages, and even agents built in Microsoft Copilot Studio 

One of the cleanest controls is also one of the simplest: sharing limits paired with a clear on‑ramp. 

If someone builds something for themselves or for their immediate teammates, that’s one risk profile. If they want to share their solution more broadly, that’s a different one. The platform needs to distinguish between those cases. When it does, you can let people experiment freely—and require deliberate promotion, review, and accountability when something is ready to scale. 

Agents don’t create permission problems—they expose them 

This bears repeating, because it matters: agents generally operate as the calling user. They don’t magically gain new permissions. Which means agents don’t create access problems; they expose the ones you already have, faster. 

If users have overly broad permissions today, agents will too. That’s not an agent problem—it’s an identity and access discipline problem. Effective agent governance only works when it’s built on solid foundations. 

Trust by design, with verification built-in 

Strong proactive controls matter, but they’re not enough on their own. You still need reactive controls: monitoring, diagnostics, and audit trails, especially when agents take actions with compliance implications. 

Trust but verify still applies. Looking at the familiar expense-approval analogy: humans unintentionally approve things incorrectly all the time. We manage that risk with audits, compensating controls, and limits on blast radius. Agent risk should be treated the same way: know what happened, understand why it happened, and contain the impact when it doesn’t go as planned. 

The takeaway 

The future isn’t “agents everywhere with no control,” and it’s not “no agents because risk.” Both fail. 

The practical path is adaptive governance: classify risk clearly, enforce it through the platform, and create promotion paths so good ideas can scale without turning into tomorrow’s incident response. 

That’s how organizations stop playing defense. If you want to learn how you can start saying “yes” safely, please watch the full interview with Fernando. 

The post ​Building trustworthy AI: A practical framework for adaptive governance appeared first on Microsoft Power Platform Blog.

First introduced in preview, Server logic was designed to simplify how makers and developers implement server-side operations. With GA, Server logic is now ready for enterprise production workloads, backed by strengthened governance, improved extensibility, and the reliability customers expect from Power Platform.

Alongside GA, we’re also announcing two important enhancements that further reinforce enterprise readiness:

• Governance control to disable external calls
• Support for unbound Dataverse custom actions

Governance control to disable external calls

Security and compliance are critical considerations for enterprise applications. Many organizations require strict control over outbound connectivity to ensure adherence to internal policies and regulatory requirements.

With GA, administrators can now disable external calls from Server logic layer.

Support for unbound Dataverse custom actions

Extensibility is key to building scalable and reusable solutions. With GA, Server logic now supports unbound Dataverse custom actions, enabling deeper integration with your existing business logic layer.

Get started

Server logic is now available for production use in Power Pages. Whether you’re enhancing an existing site or building a new application, you can take advantage of its capabilities to deliver more intelligent, secure, and governed experiences.

• Server logic overview
• Server objects
• Tutorials
• Disable external service calls from server logic

The post Announcing General Availability (GA) of Server Logic in Power Pages appeared first on Microsoft Power Platform Blog.

In addition, Governance controls for AI features are now available in GCC and GCC High to provide centralized governance and configuration for these capabilities in Power Pages.

Generative AI Search Summarization in US Government clouds

This capability enhances the Power Pages search experience by generating concise summaries of search results based on user queries. When enabled, search results can include synthesized responses derived from indexed website content, providing an additional layer of contextual information within the search interface.

Data Summarization in US Government clouds

This functionality enables summarization of structured data retrieved through Power Pages, allowing makers to present condensed views of records and datasets. The feature can be integrated into site experiences where summarization of data is required for readability or analysis.

Governance controls for AI features in US Government Clouds

The Copilot hub settings enable administrators to:

• Configure and manage Generative AI Search Summarization
• Configure and manage Data Summarization
• Control integration with Copilot Studio agents in Power Pages

This centralized experience provides a single location for managing AI-related settings and integrations, helping ensure consistent configuration across environments and alignment with organizational governance policies.

Learn more

Data summarization API overview

Power Pages search with generative AI

Governance controls for AI features

The post Generative AI Search and Data Summarization Now Available in Power Pages for U.S. Government Clouds appeared first on Microsoft Power Platform Blog.

We’re introducing a new governance control in Power Platform admin center (PPAC), that lets tenant admins restrict whether non-production sites can be set to public. This capability gives organizations the guardrails they need to keep development and test sites internal while maintaining full flexibility for production.

What’s changing:

• Tenant admins can now configure a setting in PPAC that controls whether makers can switch non-production Power Pages sites from Private to Public.
• When this restriction is enabled, makers will see an access restricted message in the Site visibility pane in Power Pages Design Studio, about the option to make the site public being disabled.

• This control applies only to non-production sites (trial and developer environments). Site visibility behavior for production sites is not affected.
• If a non-production site was already public before the restriction was applied, it remains public. However, if it is changed back to private, it cannot be switched to public again while the restriction is in effect.
• The governance control also offers site targeting options, so admins can selectively apply the restriction as per their organization’s needs. When this capability becomes available in your tenant, the default is ‘None’ which means makers will not be able to make non-production sites public until an admin explicitly changes the policy. You can review your setting promptly to avoid any unexpected impact.

How to configure:

• Sign in to the Power Platform admin center.
• Go to Manage > Power Pages > Governance controls.
• Select ‘Set site visibility to public access’ for non-production sites.
• Select the environment you want to manage.
• Choose a policy value for site targeting options.
• Save your changes. Changes take effect immediately in the maker experience.

Why This Matters

• Prevents accidental exposure of test, development, or staging sites to the public internet.
• Supports compliance by ensuring only approved production sites are accessible externally.
• Gives admins granular control with flexible site targeting policy options
• Makers see a clear message when a restriction is in place, with guidance to contact their admin if they need an exception.

Get Started

• Review the official documentation for site visibility governance: Admin Site Visibility Governance and Site Visibility in Power Pages.
• Enable the governance control in PPAC for your Environment.
• Use Power Pages Studio to verify site visibility settings.

We’d love to hear your feedback, share your thoughts on the Power Pages community forum

The post Prevent accidental exposure of non-production Power Pages sites with new admin governance controls appeared first on Microsoft Power Platform Blog.

Data is the center of every organization. With millions of records deleted daily—whether through routine clean-ups, app usage, or retention policies—the risk of accidental or malicious data loss is real and costly. Lost data can disrupt operations, impact compliance, and harm reputation. 

To prevent this, we are excited to announce that the capability to restore deleted table records in Microsoft Dataverse in General Availability starting late April 2026 with additional enhancements based on feedback from customers and MVP community. Organizations have the assurance that they can recover from unforeseen data loss without disruptions, ensuring business continuity and customer trust. 

How Data Loss Happens 

Records can be deleted from multiple sources and understanding these data loss scenarios is essential: 

• Custom apps used by end users. End users often interact with apps directly, and accidental deletions can occur during everyday tasks.  

• Makers building solutions. Makers frequently experiment and iterate while creating apps and flows. During this process, records may be deleted unintentionally. 

• Admins running bulk delete jobs. Admins schedule clean-up jobs to optimize performance and storage. However, these automated jobs can sometimes remove data that later proves necessary. 

• Retention policies moving old data to managed data lakes. Older data moved to cold storage optimizes performance and reduces costs. However, restoring from cold storage can be slow and complex.  

Consistent Deleted Records Keeping 

Previously, deleted records keeping settings could vary by table, creating complexity for admins and uncertainty for users. For example, in environments with parent-child relationships, partial keeping of deleted records often meant incomplete recovery—leading to operational risks. 

To eliminate this complexity, deleted records keeping is now managed at the environment level. Admins can enable or disable deleted records keeping for all tables in an environment with a single setting by going to feature management.  

This change ensures: 

• Consistency: No more guessing which tables are covered. Every table in the environment follows the same deleted records keeping policy, reducing confusion and ensuring predictable outcomes. 

• Reliability: Full recovery of related records. Parent and child records are kept together, eliminating partial recovery scenarios and safeguarding data integrity. 

• Simplicity: Reduced administrative overhead. One setting replaces multiple table-level configurations, saving time and reducing the risk of misconfiguration. 

This streamlined approach to deleted records keeping turn a fragmented setup into a consistent, organization-wide safeguard. 

Admins with Full Control and Visibility 

With this update, admins in Power Platform Admin Centre (PPAC) gain complete authority over deleted record keeping and clean-up, along with clear visibility into storage usage: 

Optimize with Confidence

Admins can manage deleted record keeping periods (up to 30 days). Admins can make informed decisions to balance data safety with storage efficiency, tailoring deleted records keeping period to business needs.

Flexible Clean-Up Options

Admin can use the new “Delete All Records” button for quick purges or selectively delete records for granular control. Whether performing routine maintenance or responding to urgent storage constraints, admins have the tools to act swiftly. 

Visibility into storage used by deleted records 

Admins can now view the storage consumed by deleted records, enabling informed actions to manage database capacity. 

This approach not only empowers admins but also transforms deleted records keeping management into a strategic advantage—balancing data safety with cost efficiency and operational clarity. 

Business Benefits

These improvements aren’t just technical changes—they deliver tangible business benefits: 

• Reduced risk. Protect against accidental or malicious deletes with a reliable safety net. 

• Operational resilience. Restore critical data quickly to maintain continuity and avoid downtime. 

• Simplified governance. One setting for all tables means fewer surprises and easier compliance. 

With Dataverse, your organization gains a dependable safety net and the flexibility to stay in control of its data. To learn more:  

• Restore deleted Microsoft Dataverse table records – Power Platform | Microsoft Learn 
• Restore deleted records with code – Power Apps | Microsoft Learn 

The post Safeguard, Restore, and Manage Deleted Records in Microsoft Dataverse appeared first on Microsoft Power Platform Blog.

Summary Welcome to the Power Platform monthly feature update! We will use this blog to share news in Power Platform from the last month, so you can find a summary of product, community, and learning updates from Power Platform in one easy place. Now, let’s dive into what’s new in Power Platform:

Managed platform

Licensing capacity reporting

Licensing capacity reporting is now fully available in the Power Platform admin center (Licensing → Power Automate → Usage), giving admins a single place to see which users are over capacity and which flows are driving that usage. Export options, a consolidated licensing page, and additional improvements are on the way.

Power Platform inventory

Power Platform inventory is now generally available, giving tenant administrators a unified view of cloud flows, Copilot Studio agent flows, and Workflows agent workflows across every environment. Expansion with connectors, actions, and key usage data is on the way — making it even easier to spot your most active automations, enforce compliance, and prevent orphaned resources.

The new usage page

The new usage page is now in public preview with modern dashboards showing adoption trends and resource-level analytics for Power Apps, Power Automate, and Copilot Studio. For Power Automate, the page already shows flow run data so you can track execution patterns across your tenant.

Agentic apps

Bringing Microsoft 365 Copilot into model-driven apps

In this demo from the Microsoft 365 & Power Platform Community call, you see how Microsoft 365 Copilot integrates with model-driven Power Apps to answer questions about your app data, generate visualizations using code interpreter, and take action across Microsoft 365. You’ll see how Copilot uses app and data context to generate documents, create presentations, and even schedule meetings—all directly from your app

Turn app data into action with Microsoft 365 Copilot

Previously, we walked through how to enable Microsoft 365 Copilot in model-driven apps. Now it’s time to put it to work where your business processes actually run. In the Copilot side pane, you can ask Copilot to summarize table data, visualize what’s active, see what’s pending, recap the history of a specific record, and reference related content surfaced through Work IQ. The result is a more natural transition from “what’s going on?” to “what should I do next?” without ever leaving the app.

Because this experience is powered by Microsoft 365 Copilot, you can also bring in the right agent at the right moment. You can @mention first‑party agents like Researcher and Analyst, or involve a custom agent your organization has made available. That agent collaboration helps turn insights into action, whether that means drafting a document, creating a PowerPoint, or taking next steps like scheduling a meeting. All of this stays grounded in your app context and chat history. Ready to get started? Begin with the admin and maker setup guidance, then explore how end users work in the pane, and finally learn how to tailor the experience with agents.

Building modern apps

New quality updates for modern controls in canvas apps

We’ve shipped quality updates across all nine modern controls in Power Apps canvas apps—Text, Number Input, Date Picker, Text Input, Tab List, Combo Box, Radio, Link, and Info Button. This is one of the most comprehensive control refreshes to date, addressing top maker feedback around consistency, reliability, and flexibility. Whether you’re building new apps or maintaining existing ones, these updates make modern controls noticeably better to work with.

The biggest improvements are in consistency, performance, and developer experience. Controls now share a unified property model with standardized names and typed enum values predefined value sets, which means better IntelliSense, fewer formula errors, and less guesswork. The OnChange behavior has been refined across controls to fire at the right moments—reducing unnecessary recalculations and making apps feel faster and more responsive. Mobile-optimized defaults are also now applied automatically when you add controls to a mobile layout.

Migration is guided every step of the way. When you open an app using a previous version of a modern control, you’ll see an in-product notification with a “learn more” link and an “update” button coming soon on all controls. Dedicated per-control migration guides walk you through every property rename and formula change needed—so you stay in control of when and how you upgrade.

AI powered development

vibe.PowerApps.com Walkthrough

This video explores the new vibe.powerapps.com preview, which enables developers to build full code Power Apps from a prompt using AI-driven plan, data, and app generation. You’ll see how the unified experience simplifies app creation, editing, and publishing without requiring VS Code or manual code authoring.

Power Automate

Object-centric process mining analyzes processes by following real interacting business objects

Object-Centric Process Mining (OCPM) is a new approach to process analysis in Power Automate Process Mining that models processes as they occur in real business environments. Unlike traditional case-centric process mining, which groups events under a single case notion (e.g., Order ID), OCPM allows a single event to belong to multiple objects and object types — such as orders, invoices, deliveries, and payments — preserving the full web of interactions and dependencies end-to-end. 

This capability solves a fundamental limitation of case-centric mining: when events routinely touch several objects of different types simultaneously, forcing them into a single case can hide cross-object relationships, duplicate events, or distort metrics. OCPM keeps these relationships explicit, rendering object-centric process maps that show object lifecycles, activity nodes spanning multiple object types, and color-coded object-flow edges. This makes it straightforward to identify multi-object bottlenecks, verify compliance policies that span entities (e.g., “ship only after payment”), and analyze how different process flows converge and interact. 

OCPM is ideal for scenarios where dependencies across object types drive outcomes — such as order-to-cash, procure-to-pay, or supply chain processes — while case-centric mining remains the right choice for tightly scoped, single-instance workflows. 

Process intelligence experience: a customizable interface for process analysis

The process intelligence experience is the next-generation interface for process analysis in Power Automate Process Mining. It replaces the previous fixed process overview with a flexible, card-based dashboard system that adapts to your analysis needs. Users can create multiple tabs to organize different analytical perspectives, apply dynamic filters across all visualizations, and arrange, resize, and configure cards to build personalized analytical workspaces. 

Key enhancements include the ability to group related metrics and visualizations together logically, switch between preconfigured analytical perspectives instantly, and share dashboard configurations with team members. Continuous data refresh ensures you’re always working with current information, while the customizable layouts give you complete control over what you see and how you see it — enabling tailored views for different stakeholders and use cases.   

Power Pages

Infuse intelligent experiences into Power Pages sites with the new Agent API

Agent API for Power Pages enables site creators to build custom chat and other user experiences and integrate these seamlessly with their custom-built Microsoft Copilot Studio agents. This enhancement gives organizations more flexibility for integrating intelligence into their web experiences.

Public preview: Build Power Pages sites with AI using agentic coding tools

We’re announcing the public preview of the Power Pages plugin for GitHub Copilot CLI and Claude Code. Describe the site you want in natural language and the plugin handles the rest — from project scaffolding and setup to Web API integrations, permissions, and site deployment.

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

Learning updates

Training paths and labs

Updated training

• Add an AI model to process invoice forms – Online workshop
• Create your first desktop flow – Online workshop
• Create subflows and web automation with Power Automate for desktop – Online workshop
• Install required software for Power Automate: Automation – Online workshop
• Integrate with cloud flows – Online workshop
• Use Outlook email to trigger desktop flows and pass inputs – Online workshop
• Use input and output variables – Online workshop
• Integrate with Microsoft Teams to get approvals – Online workshop
• Build agents in Copilot Chat – Online workshop
• Build a conversational agent in Copilot Studio – Online workshop
• Use tools in Copilot Studio – Online workshop
• Make your agent autonomous in Copilot Studio – Online workshop
• Solution architect series: Explore Microsoft Copilot Studio
• Build effective agents with Microsoft Copilot Studio
• Use Azure AI Services for Language in a Microsoft Copilot Studio
• Guided Project – Create agents with Microsoft Copilot Studio
• Create an agent with Microsoft Copilot Studio and Dataverse for Teams
• Build an initial agent with Microsoft Copilot Studio
• Enhance Microsoft Copilot Studio agents
• Work with entities and variables in Microsoft Copilot Studio
• Set up a Microsoft Copilot Studio agent for voice
• Use Agent Flows in Copilot Studio
• Use Dataverse choice columns with formulas
• Create a Dataverse table for the machine ordering app – Online workshop
• Get started with Power Apps and SharePoint
• Get started with model-driven apps in Power Apps
• Integrate a Power Apps app with Power Automate – Online Workshop
• Create a machine ordering Power Apps canvas app – Online Workshop
• Create a model-driven Power Apps app for machine ordering – Online Workshop

Power Apps maker

New

• Use preview tools and upcoming features in Dataverse MCP server
• Create and edit generative pages with AI code generation tools (preview)

Updated

• Create an Azure Synapse Link for Dataverse with Azure Data Lake
• Add Microsoft 365 Copilot chat for app users in model-driven apps (preview)
• Configure a row summary for a model-driven app (preview)
• Create an Azure Synapse Link for Dataverse with your Azure Synapse Workspace
• Use managed identities for Azure with your Azure data lake storage
• Get preview features early with the Dataverse accelerator (preview)
• Get started with Power Apps
• Recent modern control updates in canvas apps
• Combo box modern control in canvas apps
• Date picker modern control in canvas apps
• Info button modern control in canvas apps
• Link modern control in canvas apps
• Number Input modern control in canvas apps
• Tab List modern control in canvas apps
• Text modern control in canvas apps
• Text Input modern control in canvas apps
• Radio modern control in canvas apps
• Overview of modern controls and theming in canvas apps
• Build apps through conversation with Copilot
• Create a canvas app with data from a list
• Create a blank canvas app from scratch
• Create a canvas app using Microsoft Dataverse
• Create a canvas app based on Excel data
• Complete guide to building canvas applications
• Use plans to create a business solution with Copilot
• Use plans to create AI-Powered business solutions with Copilot
• Collaborate on canvas apps in Microsoft Power Apps Studio
• Error handling in Power Apps

Power Automate

New

• Process intelligence experience overview (preview)
• Manage tabs in the process intelligence experience (preview)
• Customize layouts in the process intelligence experience (preview)
• Filtering overview in the process intelligence experience (preview)
• Filter by attribute values in the process intelligence experience (preview)
• Filter by timeframe in the process intelligence experience (preview)
• Filter by variant in the process intelligence experience (preview)
• Filter by edge in the process intelligence experience (preview)
• Visualization cards overview in the process intelligence experience (preview)
• Use KPI (key performance indicator) cards in the process intelligence experience (preview)
• Use process maps in the process intelligence experience (preview)
• Use variant DNA in the process intelligence experience (preview)
• Use horizontal bar charts in the process intelligence experience (preview )
• Use process maps in the process intelligence experience (preview)
• Use donut charts in the process intelligence experience (preview)
• Use line charts in the process intelligence experience (preview)
• Use statistical grids in the process intelligence experience (preview)
• Power Automate environment actions reference
• Run-only user role
• Understand callback registration for Dataverse triggers

Updated

• Send a message in Teams using Power Automate
• AI Builder actions reference
• Flow control actions reference
• Run desktop flows via URL or desktop shortcuts
• Variable data types
• Safe stop
• Prerequisites and limitations
• Version control in Power Automate for desktop (preview)
• Run a desktop flow in picture-in picture
• Use a flow to add a row in Dataverse
• Troubleshoot known issues with Microsoft Dataverse
• Use a flow to update a row in Dataverse
• Work with scoped variables in Power Automate for desktop
• Manage desktop flow connections

Power Platform administration

New

• Role-based access control for Power Platform admin center
• Monitor system jobs

Updated

• Restore deleted Microsoft Dataverse table records (preview)
• Tutorial: Provision a new environment with an ERP-based template
• Move apps from the default environment (preview)
• Virtual Network support overview
• Set up virtual network support for Power Platform
• Important changes (deprecations) coming in Power Platform
• Opt in to early access updates
• Get Support in Power Platform
• Content security policy
• Discover what drives engagement in Power Platform by using the Usage page (preview)
• Geo-to-geo migrations
• Security roles and privileges for Dataverse
• Role-based security roles for Dataverse
• Allow external language models for generative responses
• Configure Dataverse search for your environment
• Power Platform inventory
• Manage Dataverse auditing
• General availability deployment
• Virtual Network support white paper
• Tenant-to-tenant migrations

Power Platform developer

New

• Power Platform management API Reference
• Microsoft Power Platform REST API reference
• Troubleshoot Microsoft Power Platform CLI
• How to: Connect your code app to Microsoft Copilot Studio agents
• Quickstart: Create a code app from scratch by using the new npm CLI (preview)
• pac model command reference

Updated

• Dataverse SDK for Python overview
• Dataverse SDK API Reference
• Microsoft Power Platform CLI Reference
• How to: Set up Azure App Insights for your code app
• Dataverse table/entity reference
• Dynamics 365 Enabled apps table/entity reference
• Dynamics 365 Field Service table/entity reference
• Dynamics 365 Sales table/entity reference
• Dynamics 365 Customer Service table/entity reference
• Dataverse Web API Reference
• How to: Connect your code app to data

Power Apps user and mobile

Updated

• Visualize data in a view with Copilot (preview)
• Configure files and images in offline canvas apps
• Install the Power Apps mobile app
• Modern, refreshed look for model-driven apps
• Find data in a view with AI (preview)
• Use Copilot’s form fill assistance feature in model-driven apps
• Use row summaries in model-driven apps
• Supervise agents in model-driven apps with agent feed
• Use Microsoft 365 Copilot chat in model-driven apps (preview)
• Timeline highlights with generative AI in Dynamics 365

Power Pages

New

• Get started with the Power Pages plugin for GitHub Copilot CLI and Claude Code (preview)

Updated

• Access user and website details with server objects
• Power Pages server logic overview (preview)
• Add an agent from the set up workspace
• Configure Web Application Firewall for Power Pages
• Overview of the Security workspace
• Setup identity provider for MCP in Power Pages
• Configure redirect URI for MCP server access
• Setup and connect to MCP Server via Microsoft 365 Copilot
• Connect to Power Pages MCP server
• Configure site settings for MCP server in Power Pages
• Power Pages authentication white paper
• Use the Visual Studio Code extension
• Use solutions with Power Pages

The post What’s new in Power Platform: March 2026 feature update 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.

With the Agent API, you can design user experiences that align with your site’s user journeys while enabling agents to understand the context of the page and respond more effectively.

Bring intelligence directly into the web experience

The Agent API allows Power Pages sites to connect custom web chat or other user experiences with agents. Instead of relying solely on a standard chat interface, makers and developers can now create conversational experiences that are embedded directly into their site’s layout and workflows.

The Agent API unlocks new ways to bring intelligent assistance into Power Pages sites:

• Custom chat experiences – Design chat interactions that match your site’s branding and user experience instead of relying only on the default interface.
• Context-aware conversations – Provide agents with information about the user’s current webpage or journey so responses can be more relevant and helpful.
• Infuse intelligence beyond chat – The Agent API is not limited to building chat interfaces. You can use custom-built Copilot Studio agents to power intelligent capabilities across the site, such as summarizing content, helping users understand complex information, help users fill forms with AI intelligence, ask agents to execute tasks, and more.

Get started

To learn more and explore how to get started, see the following documentation:

• Power Pages agent API
  https://learn.microsoft.com/power-pages/configure/client-api#pagesagent
• Create a custom chat interface in Power Pages
  https://learn.microsoft.com/power-pages/getting-started/create-custom-chat-interface

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 Infuse intelligent experiences into Power Pages sites with the new Agent API appeared first on Microsoft Power Platform Blog.