What are Monitor Alerts?

Monitor alerts allow tenant and environment administrators to proactively monitor the operational health of their Power Platform resources and receive notifications when health metrics fall below thresholds they define. Instead of learning about problems from end users, admins can identify and address issues before they cause disruption. This reduces downtime and improves reliability across the organization.

What’s New with GA

Predefined alerts — protection with zero configuration

The biggest addition we’ve added is predefined alerts: a set of configured, Microsoft-authored alerts that are enabled by default for every tenant. These alerts automatically surface high-use canvas apps, model-driven apps, agents, desktop flows and cloud flows whose health has dropped below recommended baseline thresholds — with no setup required.

For example, predefined alerts will flag when:

• The availability of high-use canvas apps drops below 90%
• The availability of high-use model-driven apps drops below 90%
• High-use cloud flows are experiencing success rate degradation

Predefined alerts give admins an immediate signal on what matters most in their tenant, even before they’ve configured a single custom alert rule. Items can trigger these alerts regardless if they’re in a managed environment, and predefined alerts will encourage users to create their own alert rules to monitor these items against their own custom thresholds.

Redesigned Monitor overview page

We redesigned the Monitor overview page to be alerts-centric. When you land in Monitor, you now get an at-a-glance view of active alert conditions and resource health across your environments — making it faster to identify what needs attention and act on it.

Code app alerts

Custom alert rules now support alerting on your code apps in addition to canvas and model-driven apps. This gives admins deeper visibility into code app performance and the ability to catch performance degradation before it affects users’ day-to-day experience.

Work queue alerts (public preview)

Admins can now configure alerts for Power Automate work queues in Monitor, enabling proactive monitoring of work queue health alongside apps, flows and agents. This capability is launching in public preview alongside alerts GA.

How Monitor Alerts Work

Admins define threshold-based rules on Monitor metrics. For example, this can look like receiving an alert when a cloud flow’s success rate drops below a custom threshold, or when a canvas app’s availability falls below an acceptable level.

Monitor alerts evaluate alert rules daily after aggregating new metric data for your environments. When a metric breaches a threshold, admins receive an email notification with a direct link to the details that triggered the alert.

You can scope alert rules to an environment or individual item, configure multiple recipients per rule (including security groups), and manage all active rules and review triggered alert history from the Alert Rules view in Monitor.

What’s Supported

We’re excited for you to improve the operational health of your apps, agents and automations in Power Platform. Learn more about Monitor and how to create alerts here.

The post Power Platform Monitor Alerts Are Now Generally Available 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 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.

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.

With this preview, Microsoft Power Platform admins gain a clearer view into what drives engagement, which resources create the most impact, and where to focus efforts to accelerate adoption and value across the platform. To explore the experience, visit the documentation or simply head to the Power Platform admin center, select ‘Manage’ in the left navigation, and click on ‘Usage’ to bring up the new experience.

Why we built the new usage page

We heard customers’ feedback and requests for a reliable, unified view of usage across the platform. Organizations depend on Power Platform to accelerate digital transformation – and now, with the usage experience, they can:

• Understand adoption patterns
• Identify top-performing solutions
• Detect emerging opportunities or risks

The new usage page consolidates usage metrics across Power Apps, Power Automate, and Copilot Studio, giving admins a single pane of glass to see how apps, agents, and workflows are built and used in their organization.

What’s included in the public preview

During public preview, admins get access to a view featuring:

Summary view

A high-value snapshot of how your organization is engaging with the platform:

• Adoption over time – Track daily active usage over the last 28 days
• Usage by product – View aggregated usage across:
  • Power Apps → Active users launching apps
  • Power Automate → Flow runs
  • Copilot Studio → Agent sessions
• High-value resources – Quickly identify the top three apps, flows, and agents driving adoption

Detailed resource tables

Interactive, sortable tables let you explore usage trends across individual items, making it easy to identify which items are driving the most usage. The following item types are supported across Power Apps, Power Automate, and Copilot Studio:

• Power Apps – Canvas and model-driven apps
• Power Automate – Cloud flows
• Copilot Studio – Agents built in Copilot Studio

These tables help admins pinpoint trends, track growth, and troubleshoot issues at the resource level.

Get started today and shape the product

Visit the Learn documentation on usage page or go straight to your Power Platform admin center → Manage → Usage to learn more and explore the new Usage view.

We look forward to hearing how you use these insights to help your organization grow adoption and unlock even greater value with the Power Platform. And we’ll be continuing to build on this unified view leveraging your feedback – so don’t hesitate to share it with us.

The post Announcing the public preview of the new usage page in the Power Platform admin center appeared first on Microsoft Power Platform Blog.

With the General availability, customers in Singapore Local and South Africa can access all the capabilities of Power Pages including:

• Power Pages Design Studio to Design websites seamlessly
• Template Hub which provides access to business solution templates
• Enhanced security workspace and governance levers
• Seamless transitions for current Power Apps portals customers
• Power Pages licensing available in subscription-based model
• Learn Hub to get up to speed with curated learning

You can access Microsoft Power Pages here: https://make.powerpages.microsoft.com/

Your feedback will help us continue to build on and improve the capabilities of this feature. We want to hear from you!

To learn more about Power Pages, see the documentation. 

The post Microsoft Power Pages is Generally Available in Singapore Local and South Africa appeared first on Microsoft Power Platform Blog.

Watch how easy it is to create an alert, catch a threshold breach, and take guided action—without living on dashboards.

Why Monitor Alerts Matters

When incidents hit, every hour counts. Historically, admins had to log into Monitor and scan metrics to catch issues on daily/weekly basis. Monitor Alerts changes that by letting you define what “healthy” means and notifying you daily when reality drifts below that bar.

Benefits include:

• Fewer surprises: Alerts only when conditions you care about are met.
• Faster response: Go straight from alert to action.
• Focus on fixes, not hunting for issues.

Where It Lives

Monitor Alerts are available in the following context:

• Audience: Tenant administrators and environment administrators
• Surface: Monitor in the Power Platform admin center
• Availability: Public preview
• Setup: None required—start using it immediately

Monitor already provides operational health metrics and actionable recommendations. Alerts add an early-warning layer so you can react before issues escalate.

What You Can Alert On

Monitor Alerts currently supports:

• Canvas apps
• Model-driven apps
• Cloud flows
• Desktop flows

Examples include:

• App load times exceeding thresholds
• Spikes in flow failures in critical environments
• Degradation in availability for executive-facing apps
• Error spikes in desktop flows

Quickstart (No Configuration Needed)

1. Open Power Platform admin center
2. Navigate to Monitor > Alerts
3. Create an alert: pick environment and resource type
4. Define condition: choose metric, set threshold, specify evaluation window
5. Add recipients (DL or named admins)
6. Save & test
7. Tune thresholds to balance sensitivity and noise

Best Practices

• Align thresholds to SLAs: Start with business expectations.
• Alert on trends, not blips: Use sustained windows to avoid alert fatigue.
• Route smartly: Send to on-call DL; add context in alert description.
• Pair with recommendations: Use Monitor’s insights to accelerate root cause analysis.
• Review regularly: Adjust thresholds as usage grows.

Learn more: Power Platform Monitor Alerts

The post Take Charge and Stay Ahead with Power Platform Monitor Alerts appeared first on Microsoft Power Platform Blog.

Power Platform Monitor enables operational insights for administrators across environments

Power Apps Monitor empowers makers with operational insights into the apps that they own or co-author

Monitor is available in the Power Platform admin center and in Power Apps at make.powerapps.com. This is a must-have business tool that will empower makers and administrators with deeper visibility into the operational health of their business-critical apps and automations.

Visibility that scales with your role

Monitor is designed to meet the needs of makers, Center of Excellence teams, Operations teams, and administrators. Makers can now access performance and health insights for the apps they own or co-author directly in make.powerapps.com. Additionally, people with administrative and governance responsibilities can use Monitor in the Power Platform admin center to monitor resources, enabling cross-tenant oversight.

This dual-surface approach ensures that everyone, from individual app builders to Center of Excellence teams, can identify issues faster, understand root causes, and take informed action.

What’s included

Monitor supports operational health metrics and recommendations for:

• Canvas apps – available in both Power Apps and Power Platform Monitor
• Model-driven apps – available in both surfaces
• Cloud flows – available in Power Platform Monitor
• Desktop flows – available in Power Platform Monitor

These insights go beyond raw telemetry. Monitor surfaces contextual recommendations, such as optimizing Power FX code to improve load time in canvas apps or identifying bottlenecks in flow execution, so you can improve performance and reliability without guesswork. We’re also excited to introduce configurable alerts, coming soon! These alerts will proactively monitor the health of your resources and notify you when the performance dips, so you can take action before issues escalate.

Built for action, not just observation

Monitor isn’t just about dashboards, it’s about driving outcomes. With this release, you can:

• Identify underperforming resources
• Understand the impact of issues on users and business processes
• Take guided steps to resolve problems before they escalate

And because Monitor is integrated into the tools you already use, there’s no need to switch contexts or learn a new interface.

Available now & no setup required

Monitor is now generally available and enabled by default. No configuration is needed to get started. Simply head to:

• Power Platform admin center to monitor across environments
• Power Apps to monitor your own apps

To learn more, check out the documentation on Power Platform Monitor and Power Apps Monitor

The post Effortless Visibility and Operational Insights for All with Monitor appeared first on Microsoft Power Platform Blog.

Microsoft Power Platform enables organizations to build low-code apps and automation within your established governance, controls, and operational models. This framework can be applied to AI agents as well. Microsoft Copilot Studio is built upon the developments and experiences from Power Platform, allowing organizations to utilize their existing resources.

Copilot Studio plays a leading role in the agent shift. According to Microsoft’s FY25 Q3 earnings release, Copilot Studio has been used by over 230,000 organizations, including 90% of the Fortune 500¹. IDC project 1.3 billion AI agents by 2028². The scale and speed of adoption make one thing clear: governance is emerging as a critical priority.

CIOs should consider these five key areas:

1. A Governance Mindset Is Essential for Agents
2. Low-code Lessons Apply Directly to Agents
3. Driving Visibility, Cost Control, and Business Value
4. Empower Innovation with Guardrails
5. Community, Training, and Experimentation Drive Adoption

1. A Governance Mindset Is Essential for Agents

Agents don’t just respond to prompts. They initiate actions and operate across disparate systems. That means governance can’t be static. It must evolve to cover the growing agent behaviors and industry requirements.

Begin by considering agents as digital labor. Assign them trackable identities, define their roles and permissions, and continuously monitor their behaviour and performance.

According to Microsoft’s 2025 Work Trend Index, Frontier Firms—organizations powered by intelligence on tap and human-agent teams—are emerging through three phases of AI evolution: from assistants to digital colleagues running entire businesses processes. This progression is redefining collaboration, as humans shift from users to orchestrators of digital labor.

Not every agent should have the same level of autonomy. Some might only perform low risk activities like answering questions. Others, like a sales development agent, might handle RFPs and pricing proposals autonomously. CIOs should define tiers of autonomy and enforce them with technical guardrails. Just like you wouldn’t give a new hire full system access on day one, agents also need scoped permission and supervision. Consider the agent supervision across review, monitor and protect depending on the agent complexity.

Reviewers are responsible for identifying and reviewing AI-generated output and content to verify accuracy. Monitors observe and track the actions of AI and agents, enabling human or AI-based follow-up as necessary. Protectors have the ability to adjust or restrict AI and agent actions and permissions.

2. Low-code Lessons Apply Directly to Agents

If you have experience with Power Platform, you’re already familiar with this process. You can apply the same playbook: establishing a center of excellence, enforcing security measures like Data Loss Prevention policies, managed environments, and role-based access controls to agents as well.

Maintain consistency by applying your existing compliance, security, and audit frameworks to agents, updating them for new behaviors as needed. In addition to using Power Platform Admin Center, leverage other Microsoft tools like Purview and Entra ID, and ensure your governance framework supports safe innovation.

Additional IT guidance content can be found on the adoption site.

3. Driving Visibility, Cost Control, and Business Value

Visibility is the foundation of effective agent governance. Without it, agents can proliferate unchecked, leading to redundancy, security gaps, and unnecessary costs. This is why CIOs must establish reliable telemetry that offers deep insight into who created an agent, what data it accesses, how often it’s used, and the resulting impact on the organization’s resources.

Fortunately, tools like Copilot Studio’s built-in analytics and Power Platform Admin Center offer the transparency and insights to manage agent usage and costs effectively. By tracking consumption and reviewing performance regularly, teams can identify underused or redundant agents, forecast expenses with tools like the cost calculator, and ensure agents stay aligned with strategic goals.

Read the agents cost management E-book here

While managing costs helps keep investments in check, it’s the business value that ultimately justifies them. CIOs should look beyond usage limits and budget forecasts to ask a more strategic question: what outcomes are agents actually driving? This shifts the focus from spend to impact.

Ultimately, governance without visibility is just guesswork. Robust telemetry ensures that every agent is accounted for, managed wisely, and contributing to safe, scalable innovation.

4. Empower Innovation with Guardrails

The people closest to the work often have the best ideas for how agents can help them. Empowering business teams to build their own agents can accelerate innovation and speed.

But empowerment without guardrails is a risk. All agents must operate within strict security and compliance boundaries. Enforce permission models so agents only access authorized data sources. Use environment strategies and connector policies to keep sensitive data safe and audit each key step.

A zoned governance model, with centralized policy and progressive autonomy, gives CIOs a scalable way to manage agents. IT sets boundaries allowing business units to innovate safely within these zones:

• Zone One: Personal Productivity – The entry point for experimentation and innovation provides isolated environments where individuals can safely explore agent capabilities, guided by governance and security policies.
• Zone Two: Collaboration – This zone supports team-based agent development with stronger controls, including environment-level policies, connector restrictions, and operational oversight. It enables broader adoption while maintaining compliance and consistency.
• Zone Three: Enterprise Managed – The most advanced zone, designed for production-grade agents. It includes enhanced security protocols, continuous monitoring, and structured lifecycle management. This zone supports complex, cross-functional and autonomous agent scenarios with full visibility, scalability, and strategic alignment.

Scaling agent deployment effectively requires not just the right tools, but also thoughtful organizational structures and clear assignment of roles and responsibilities. Establishing rhythms and governance frameworks ensures responsible agent management across the organization.

As organizations operationalize agents and build the structures to support them, CIOs will likely encounter demand for roles that didn’t exist just a few years ago. They’re emerging in response to the unique demands of building, governing, scaling, and securing AI and agent systems responsibly.

5. Community, Training, and Experimentation Drive Adoption

People are the engine behind every successful technology initiative—and AI and agents are no exception. The biggest challenges in agent governance aren’t technical. They’re cultural. To succeed, you need more than policies and platforms. You need people who are bought in, equipped, and empowered. 

Build an active agent community hosting events such as “Agent Show-and-Tell” and hackathons. Acknowledge successful projects and appoint departmental champions to mentor others and drive adoption.

Training should cover both agent development and guidance on responsible governance. Support users with learning paths based on their different AI readiness levels and take advantage of the agent creator community.

Support experimentation within a structured framework. The Center of Excellence should manage best practices, training, and governance, gathering insights to improve and scale effective approaches.

What to Do Next

CIOs are uniquely positioned to lead the agent transformation by building and evolving on what already works. The governance models, CoEs, and controls you’ve established for Power Platform don’t need to be reinvented, they need to be extended to incorporate agent autonomy, decision making and responsible AI.

Calls to action:

1. Governance is the foundation, not the finish line.

Agents introduce new opportunities but also risks and responsibilities. CIOs must lead with a governance mindset that treats agents like digital labor—assigning identities, defining autonomy, and enforcing oversight through familiar tools like PPAC, DLP, Purview, and Entra ID.

2. Culture will make or break your agent strategy.
Technology alone won’t drive adoption. Build a community of practice, empower champions, and invest in training that reinforces not just how to build agents—but how to govern them responsibly.

3. Ready to operationalize? Start here.
Download the e-book for detailed insights and a shareable copy of the five sections.

Check out these additional resources to get started

• Agent Governance Whitepaper
• Implementation Guide
• Agent Success Kit
• Agents Cost Management E-Book
• Agent Creator Community
• How to deploy transformational enterprise-wide agents: Microsoft as Customer Zero

Citations:

1: Microsoft Earnings Release, Call Transcript, FY25, Q3

2: IDC Info Snapshot, sponsored by Microsoft, 1.3 Billion AI Agents by 2028, #US53361825 and May 2025

Disclaimers

This blog is for informational purposes only and does not constitute legal, regulatory, or compliance advice.

The strategies, tools, and governance models referenced herein are based on Microsoft technologies and may not be suitable for all organizations, industries, or jurisdictions.

Any forward-looking statements are subject to change and should not be interpreted as commitments or guarantees.

The post Evolving Power Platform Governance for AI Agents appeared first on Microsoft Power Platform Blog.

What is the Action Center?

The Action Center provides a centralized environment-level dashboard that surfaces critical insights and recommended actions directly in Power Pages Home. Whether it’s flagging expiring trial sites, outdated configurations, or pending security settings, the Action Center makes it easy to stay proactive, secure, and compliant.

How it Works

1. Access the Action Center

To access the Action Center, go to Power Pages Home, select your environment, and then click on ‘Action Center’ from the left pane.

2. Review Key Recommendations

The Action Center presents a prioritized list of insights to help you manage your environment effectively:

• Trial Sites Expiring Soon: Highlights sites set to expire in the next 7 days so you can convert them to production if needed.
• Inactive Sites: Flags websites that haven’t received traffic in the last 30 days. These might be outdated or unused.
• CDN Not Enabled: Lists production websites without Content Delivery Network (CDN) enabled. Enabling CDN improves site performance and global delivery.
• Web Application Firewall (WAF) Disabled: Surfaces sites that haven’t enabled the out-of-the-box WAF feature, a key protection against malicious web traffic.
• SSL Certificates Expiring: Lists production sites with SSL certificates that are expired or will expire within 90 days. Renew them to ensure secure access.
• Still on Bootstrap 3: Lists websites that are still using Bootstrap version 3. Migrate to the latest version for improved user experience and performance.
• Still on Standard Data Model: Lists websites that are still using the standard data model. Migrate to the enhanced data model to ensure consistency, modernization, and access to new capabilities.

3. Take Action or Collaborate

Where possible, makers/site owners can act directly through Power Pages Admin Center or Design Studio. For actions that require elevated permissions, you can coordinate with tenant administrators.

4. Share Recommendations with Your Team

All recommendations can be shared using Microsoft Teams for collaborative triage. You can share the entire recommendation or select specific items to send to your teammate by name.

The shared Teams card includes a direct link to the recommendation, so it’s easy to follow up.

Why It Matters

With Power Pages scaling across organizations, it’s essential to provide operational observability, security readiness, and administrative agility all in one place.

The Action Center equips your teams to:

• Detect and address risks early
• Maintain operational efficiency
• Keep environments secure and up to date
• Promote collaboration between roles

Learn more: https://learn.microsoft.com/en-us/power-pages/getting-started/action-center

Start Exploring Today!
From Power Pages Home, select your environment, then choose Action Center from the menu to open the dashboard.

Happy managing!

The post Power Pages Home Action Center Is Generally Available – Stay Informed, Stay in Control appeared first on Microsoft Power Platform Blog.