{"id":134304,"date":"2026-06-11T08:31:27","date_gmt":"2026-06-11T15:31:27","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/power-platform\/blog\/?p=134304"},"modified":"2026-06-11T08:31:30","modified_gmt":"2026-06-11T15:31:30","slug":"whats-new-in-power-platform-june-2026-feature-update","status":"publish","type":"post","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/power-platform\/blog\/2026\/06\/11\/whats-new-in-power-platform-june-2026-feature-update\/","title":{"rendered":"What\u2019s new in Power Platform: June 2026 feature update"},"content":{"rendered":"\n
\n\t

\n\t\tSummary<\/span>\n\t\t 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:<\/span>\n\t<\/p>\n<\/div>\n\n\n\n\n

\n\t\n
\n\t
\n\t\t
\n\t\t\t
\n\t\t\t\t\n\n

Get started with the latest updates today!<\/h2>\n\n\n\n

Jump into Power Apps, Power Automate, and Power Pages to try the latest updates, you can use an existing environment or get started for free using the Developer plan.<\/p>\n\n\n\n

\n
Developer plan<\/a><\/div>\n\n\n\n
Power Apps<\/a><\/div>\n\n\n\n
Power Automate<\/a><\/div>\n\n\n\n
Power Pages<\/a><\/div>\n<\/div>\n\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t<\/div>\n<\/div>\n<\/div>\n\n\n\n

Agentic apps<\/h2>\n\n\n\n

Power Apps MCP server introduces closed-loop learning for enterprise agents<\/strong><\/h3>\n\n\n
\"\"<\/figure>\n\n\n\n

Enterprise AI has made building agents faster than ever. But teaching those agents how your organization works still means feeding knowledge in as documents and custom instructions or standing up a data science team to run the training, evaluation, and optimization cycles yourself. For IT leaders running agents at scale, that\u2019s a ceiling on how much institutional knowledge your systems can hold, and an overhead that grows with every agent you add.<\/p>\n\n\n\n

We introduced closed-loop learning for agents connected to the Power Apps MCP server<\/a>, starting with the data entry tool<\/a>. Every correction a user makes through the agent feed<\/a> persists as structured memory. On future runs, the agent retrieves that memory and applies it. Over time, those corrections consolidate into organization-wide patterns the agent applies across tasks. The feedback loop runs automatically in production. Nothing to configure, no data pipelines to build.<\/p>\n\n\n\n

\n
Learn more<\/a><\/div>\n<\/div>\n\n\n\n

AI powered development<\/h2>\n\n\n\n

Release planner code app: Explore Microsoft release plans with Power Apps code apps<\/strong><\/h3>\n\n\n\n
\"Animated<\/figure>\n\n\n\n

The Power CAT team has released a sample application called the ‘release planner code app’, built using Power Apps code apps, React, and custom connectors that helps users explore Microsoft’s release plans across Power Platform, Dynamics 365, and Microsoft Copilot.<\/p>\n\n\n\n

The app provides a modern experience to search, filter, and track upcoming features by product, release wave, cloud availability, and release status. Users can view release plan items in card, calendar, and timeline views, helping makers, developers, architects, administrators, and business users stay informed about Microsoft’s latest investments.<\/p>\n\n\n\n

The sample demonstrates how developers can use Power Apps code apps to build enterprise-grade experiences while integrating external APIs and modern web development patterns.<\/p>\n\n\n\n

\n
Learn more<\/a><\/div>\n<\/div>\n\n\n\n

Power Automate<\/h2>\n\n\n\n

Compare desktop flow versions side by side with built-in version control<\/h3>\n\n\n
\"\"<\/figure>\n\n\n\n

Power Automate for desktop now includes version comparison as part of built-in version control, making it easier for makers to understand exactly what changed between two versions of a desktop flow. Teams can compare versions side by side across subflows, actions, variables, UI elements, and images, and use search within the comparison view to quickly locate specific changes.<\/p>\n\n\n\n

This capability builds on the version control experience for desktop flows, where makers can save drafts, publish stable versions, review version history, and restore earlier versions when needed. With versions stored in Microsoft Dataverse and retained for up to 12 months, organizations get a more structured and governed way to manage changes across the lifecycle of desktop automations.<\/p>\n\n\n\n

\n
Learn more<\/a><\/div>\n<\/div>\n\n\n\n

Public preview: Launch a Power App directly from a desktop flow with the new \u2018run Power App\u2019 action<\/h3>\n\n\n
\"\"<\/figure>\n\n\n\n

The new \u2018run Power App\u2019 action lets desktop flows open a Power App directly and establish a native communication channel between the two experiences. Makers can pass inputs from the desktop flow into the app, capture outputs back into the flow, and trigger callable subflows from app events, unlocking richer attended automation scenarios without relying on UI-based workarounds.<\/p>\n\n\n\n

This integration is especially useful for guided forms, app-based front ends for desktop automations, and event-driven experiences where user actions in a Power App determine what the desktop flow does next. Available in preview for Power Automate for desktop version 2.68 or later, the feature brings modern app experiences together with local automation in the same environment.<\/p>\n\n\n\n

\n
Learn more<\/a><\/div>\n<\/div>\n\n\n\n

Managed platform<\/strong><\/h2>\n\n\n\n

Generally available: Advanced connector policies<\/strong><\/h3>\n\n\n
\"\"<\/figure>\n\n\n\n

Copilot, agents, and AI-first projects have multiplied both the people who build and the places they build in. A tenant that had a few dozen environments two years ago can have thousands today. And what you need to govern is no longer just which connectors \u2014 it\u2019s which actions and MCP servers inside them that AI tools utilize. Today, we\u2019re making advanced connector policies (ACP)<\/strong> generally available to meet that moment.<\/p>\n\n\n\n

\n
Learn more<\/a><\/div>\n<\/div>\n\n\n\n

Public preview: Power Platform inventory now shows the connectors and connector operations used by apps, flows, and agents in your tenant<\/h3>\n\n\n
\"a<\/figure>\n\n\n\n

Power Platform inventory has always shown admins what<\/em> exists in their tenant. Now it shows what each resource talks to<\/em>. Rolling out in public preview since June 2, inventory captures the connectors and connector operations used by every canvas app, model-driven app, cloud flow, agent flow, Microsoft 365 agent flow, and agent (authored in either Copilot Studio or Microsoft 365 Copilot Agent Builder). For flows, it also captures the trigger connector and trigger operation, and for agents it captures richer metadata about how each connector is used as a tool or knowledge source.<\/p>\n\n\n\n

This unlocks a range of governance and IT scenarios: pinpoint every resource impacted by a connector deprecation, security issue, or licensing tier change in seconds; understand which connectors dominate adoption across the tenant; and ground advanced connector policy (ACP)<\/strong> \u2014 now generally available \u2014 decisions in real usage patterns so you know exactly which resources are affected before you tighten or block a connector. No action is required to opt in \u2014 connector data flows into inventory automatically.<\/p>\n\n\n\n

In the Power Platform admin center, a new connectors<\/strong> column appears across the inventory grids \u2014 the unified manage > inventory<\/strong> page as well as the resource-specific views under Copilot Studio<\/strong>, Power Apps<\/strong>, and Power Automate<\/strong> \u2014 so you can see each resource\u2019s connector footprint at a glance. The same data is queryable programmatically through the Power Platform for admins V2 connector<\/strong>, the Power Platform inventory API<\/strong>, and Azure Resource Graph<\/strong>, making tenant-wide analysis a single query rather than a manual project.<\/p>\n\n\n\n

\n
Learn more<\/a><\/div>\n<\/div>\n\n\n\n

Learning updates<\/h2>\n\n\n\n

Training paths and labs<\/h3>\n\n\n\n

New<\/strong><\/p>\n\n\n\n