TL;DR
Power Platform governance is the set of owners, rules and admin controls that decides who builds apps, flows and agents, and with which data. It works through four levers, which are environments, data policies, managed environments with environment groups, and roles with release controls. Group workloads into risk zones, then give each zone an owner, an environment group and a matching data policy. Copilot Studio agents also fall under data policies, and each one needs a risk tier and an approval step before publishing. As of November 2026, Microsoft no longer actively maintains the CoE Starter Kit, and the Power Platform admin center carries its core capabilities. A practical rollout takes about 90 days, moving from inventory to one pilot zone and then to a measured, tenant-wide baseline.
Key Takeaways
Power Platform governance decides who can build what, where it runs, which data it touches and how it reaches production. Sort apps, flows and agents into risk zones, then map each zone to an environment group, a data policy and an owner. Govern the default environment first, because every licensed user can build there and it cannot be deleted. Data policies control connectors rather than content, and Blocked wins whenever two policies overlap. Managed environments add sharing limits and solution checker enforcement, but active users then need premium licenses. Power BI is administered in the Microsoft Fabric admin portal, so it sits beside this model rather than inside it.
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The Flow Nobody Owned
This scenario is hypothetical, though Power Platform admins will recognize it. During audit preparation, an administrator opens the Power Platform inventory and scans the list of flows. One flow, built three years earlier in the default environment, belongs to a maker who has since left the company.
The flow still runs every Monday. It reads a vendor list from SharePoint, adds payment terms from Dataverse and emails a spreadsheet to an outside address. Finance depends on that file, yet nobody approved the connection, and nobody can say where the spreadsheet goes next.
Power Platform governance exists for exactly that gap. It gives every app, flow and agent an owner and a risk zone, then applies controls that match the zone. The next discovery then happens in a routine review instead of an audit finding.
What Is Power Platform Governance?
Power Platform governance is the operating model for Power Apps, Power Automate, Copilot Studio, Dataverse and Power Pages. It sets who may build, which environments and connectors they may use, and how a solution reaches production. It also defines the evidence that shows those rules held.
In practice, governance is a small set of decisions backed by admin settings. For example, one decision might say that finance flows may never send data to personal email services. Then a data policy in the Power Platform admin center enforces that decision across the finance environments.
Breadth is why this needs a single model. Power Apps and Power Automate do different jobs, as the Power Apps vs Power Automate comparison shows. Still, both draw on the same connectors, environments and identities. Governance therefore treats them as one estate instead of two separate products.
What It Covers, and Where Power BI and Purview Take Over
Power Platform sits inside a wider control model, and several neighbors hold their own levers. Power BI tenant settings live in the Microsoft Fabric admin portal , which groups administration into four outcomes: govern, secure, operate and optimize. Content inspection, by contrast, belongs to Microsoft Purview.
The table below maps each control area to where it is set and a suggested owner.
Control area Where it is set Suggested owner Environments, data policies and managed environments Power Platform admin center Power Platform admin team Identities, groups and conditional access Microsoft Entra ID Identity and security team Power BI tenant and workspace settings Microsoft Fabric admin portal BI or Fabric admin team Content DLP, audit search and retention Microsoft Purview Compliance team, such as a records or privacy office
This model is also one layer of cloud governance . The cloud model sets tenant-wide guardrails, while this layer handles makers, connectors and low-code release paths. Teams that already run a data governance framework can also reuse its owners and classification rules here instead of inventing new ones.
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Why Governance Pressure Has Grown
Three platform facts explain the pressure. First, every user who signs up for Power Apps is added to the Environment Maker role in the default environment. That makes the licensed workforce a potential group of builders from the first day.
Second, agents built in Copilot Studio fall under the same data policies as apps and flows. Since early 2025, Microsoft has enforced those policies for agents in every tenant, and exemptions are no longer supported.
Third, the CoE Starter Kit that once anchored monitoring is no longer actively maintained. Microsoft’s CoE Starter Kit overview says its core capabilities are part of the Power Platform admin center and that issues are no longer reviewed. The kit’s GitHub repository was also archived on July 2, 2026, and is read-only.
Build a Power Platform Governance Framework With Risk Zones
A governance framework starts by sorting work by risk instead of by product. For example, a flow filing one person’s attachments and a flow posting ERP payments need different controls, though both are Power Automate flows.
Zoned governance is a practitioner pattern rather than a Microsoft standard. Still, Microsoft’s tooling supports it, because environment groups apply one rule set to every managed environment inside them. A zone then becomes a group, a data policy, a release path and a named owner.
Four Zones, From Personal to High-Risk
Classify each workload by data sensitivity, audience, business criticality, external exposure and whether it writes to other systems. The highest-scoring factor sets the zone, so a small app that writes to the ledger still lands in high-risk.
Zone Example workload Environment setup Data policy and release Personal A flow that files one maker’s email attachments Personal developer environment, reached through environment routing Strict baseline policy, with no sharing beyond the maker Team A request-tracking app for one department Shared managed environment with sharing limits Business connectors only, published after a peer review Enterprise A cross-department approvals app on Dataverse Development, test and production environments in a group with locked rules Narrow connector list, released as a solution once solution checker passes High-risk An agent or flow that writes to finance or customer systems Dedicated environments, with IP firewall or customer-managed keys where needed Named connectors only, released through a pipeline after security and data-owner approval
Each rung adds one control instead of rebuilding the model. Personal work lives in a developer environment, team work adds sharing limits, enterprise work adds environment group rules, and high-risk work adds a pipeline release. Makers then only need to know which zone their work belongs to.
Who Decides What
A framework also needs decision rights. The Power Platform admin team owns tenant settings, environment groups and the tenant-wide data policy. Security owns identity rules, tenant isolation and the review of high-risk connectors.
Data owners decide which data a zone may touch, while business sponsors fund and accept each enterprise or high-risk solution. Makers own their apps, flows and agents, including the duty to hand them over when they change roles.
Where a Center of Excellence team exists, it sets standards, runs training and reviews requests that cross zones. Microsoft’s govern-at-scale guidance describes centralized, decentralized and hybrid delivery models, and this split of decisions works with each.
Exceptions Without a Back Door
Exceptions need a design that matches the tooling. Environment groups don’t support per-environment exceptions, and published rules lock each setting in every member environment.
In practice, an exception means moving the workload to a separate environment or group. Alternatively, an admin can exclude one environment from a tenant policy and cover it with its own time-boxed policy. Either way, each exception carries an approver, an expiry date and a compensating control, such as extra monitoring.
The same discipline applies in data access governance , where every access grant also needs an owner and an end date.
Design an Environment Strategy That Matches Risk
Environments are the containers that hold apps, flows, agents and Dataverse data, and they form the main boundary a governance model can draw. Microsoft’s environments overview lists six types, including the deprecated Dataverse for Teams. The five that suit a new design are shown below.
Type Intended use Governance note Default Created for every tenant and shared by all users Every licensed maker can build here, and it cannot be deleted Developer One maker’s own build space Managed only for new environments from November 15, 2026, with one per user Sandbox Non-production testing Supports copy and reset, so it suits test stages Production Live business solutions Needs owners, backups and a release path before go-live Trial Short evaluations Expires after 30 days, with one per user
Microsoft has also deprecated two older options, Dataverse for Teams environments and unmanaged developer environments. Neither belongs in a new design.
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Govern the Default Environment First
The default environment needs attention before anything else. Every user who signs up for Power Apps becomes an Environment Maker there, and the environment cannot be deleted. Microsoft also describes it as a space for experimentation with no backup guarantees and a 1 TB storage cap.
Start by renaming it so makers understand its purpose, then attach a strict data policy. After that, turn on environment routing, a premium feature that sends makers to their own developer environments. It applies when they open Power Apps, Power Automate or Copilot Studio.
Never plan to delete the default environment. Instead, shrink its role until it only holds personal, low-risk experiments.
Development, Test and Production
Enterprise and high-risk zones need separate development, test and production environments. Sandboxes suit the first two stages because they can be copied and reset, while production holds only released solutions.
This separation is what makes later controls work. Pipelines, solution checker enforcement and approval steps all assume that solutions move between environments instead of being edited in place. The same pattern applies across low-code automation platforms , where a citizen developer’s prototype needs a path to a governed release.
Control Who Creates Environments
Admins can limit who creates developer, production and trial environments. The setting sits under Tenant settings in the Power Platform admin center, where each type can be set to Only specific admins.
Developer environments also change on a fixed date. According to Microsoft Learn , users can’t create new unmanaged developer environments from November 15, 2026. After that date, each user can create only one managed developer environment, and the same tenant setting controls who can create one. To keep an existing unmanaged developer environment, enable managed environments on it before December 15, 2026.
Data Policies: Classify Connectors Without False Assurance
Data policies control which connectors Power Apps, Power Automate and Copilot Studio can use. Microsoft’s earlier name for them, DLP policies, still appears in some Microsoft Learn page addresses. A blocked connector stops a maker from saving an app or flow that uses it, and it also affects solutions at runtime.
Business, Non-Business and Blocked
Every policy sorts connectors into three data groups. Business holds connectors approved for company data, Non-Business holds the rest, and Blocked holds connectors nobody may use. Connectors from different groups also cannot be combined in the same app or flow.
New policies place every connector in Non-Business by default, and unclassified custom connectors land in the default group too. Some connectors cannot be blocked at all, such as core Power Platform connectors like Approvals and Notifications. Among premium connectors, only Dataverse is unblockable.
The Power Automate connectors guide covers the catalog itself, such as the standard and premium tiers. Custom connectors deserve extra care because they front internal APIs and partner systems. They belong to the enterprise application integration layer, so classify each one deliberately instead of leaving it in the default group.
Layer a Tenant Baseline With Environment Policies
Tenant-level policies, set by a Power Platform administrator, can include or exclude specific environments. Environment-level policies need Environment Admin permissions and apply to a single environment.
When several policies apply, all of them are evaluated together at design time and at runtime. According to Microsoft’s guide to the combined effect of multiple policies , Blocked always wins, and the strictest grouping applies. A sound design therefore uses one strict tenant baseline, then adds environment policies where a zone needs narrower rules.
Change Policies Safely
Policy changes are not instant. Microsoft notes that full enforcement can take up to 24 hours, and tenants with more apps, flows and agents take longer. A five-step change routine keeps running flows from breaking without warning.
Map current connector usage in the Power Platform inventory before changing anything. Test the new policy in a sandbox with copies of the affected flows. Tell affected makers what will change and when it takes effect. Enforce the change, then allow up to 24 hours before judging the result. Review open exceptions and their expiry dates after each change.
What Data Policies Do Not Do
Data policies govern connectors and never inspect content. A policy sees which connectors a flow combines, yet it cannot tell a salary file from a cafeteria menu.
Content inspection belongs to Microsoft Purview data loss prevention , which covers Microsoft 365 services, devices, and Fabric and Power BI workspaces. Treat the two as complementary layers, because a clean connector policy says nothing about what data moves through an approved connector.
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Managed Environments and Environment Groups
Managed environments are a suite of premium governance features that an admin switches on for each environment. Once switched on, an environment can enforce sharing limits, solution checks and group rules.
What Switching to Managed Gives You
Microsoft’s managed environments overview lists about 20 capabilities. The ones below map most directly to the zone model.
Capability Governance problem it solves Limit sharing Stops makers from sharing apps, flows and agents with Everyone or with large audiences Weekly usage insights Gives admins a regular view of what is built and used Solution checker enforcement Warns about or blocks solutions with critical issues before import Maker welcome content Puts zone rules in front of makers when they start building Environment routing Sends makers to personal developer environments instead of the default one IP firewall, customer-managed key and Lockbox Adds network and encryption controls for high-risk zones
The Licensing Trade-Off
Managed environments carry a licensing condition. Once an environment is managed, all active usage there needs a standalone license or a pay-as-you-go meter. Power Apps Premium and Power Automate Premium are two such licenses. Microsoft’s managed environments licensing page also sets a date. Starting February 2027, users without an appropriate license can’t open apps in a managed environment.
That turns managed status into a cost decision. For enterprise and high-risk zones, the controls justify the license. For a team zone where users hold only Microsoft 365 licenses, budget the premium licenses before switching. The same rule reaches the personal zone. Routed developer environments are managed, and users there need premium licenses to run Power Platform assets.
Environment Groups and Rules
Environment groups organize managed environments into collections and apply rules centrally. Those rules cover areas such as security and sharing, AI features, data retention and ALM. Only managed environments can join, each belongs to one group, and groups cannot overlap or nest.
Published rules lock the matching settings in every member environment. If an environment leaves its group, it keeps the last configuration but becomes editable again, so check those settings during any reorganization.
Roles, Access and Maker Enablement
Roles decide who can change the controls described above, so they deserve the same care as policies. Power Platform permissions sit in three layers.
Three Layers of Roles
At the tenant level, the Power Platform administrator role comes from Microsoft Entra ID. Environments without Dataverse use Environment Admin and Environment Maker. Environments with Dataverse add security roles such as System Administrator, System Customizer and Basic User.
Assigning the Power Platform administrator role in Entra no longer makes someone a System Administrator in every environment automatically. Plan those assignments per environment instead, and review them when people change teams.
Production connections need the same care. Run production flows on service accounts or service principals instead of a maker’s personal connection, so they keep running after that person leaves. Data access itself follows the source system’s permissions, the same principle behind Power BI row-level security on the reporting side.
Onboard Makers Deliberately
Pair maker welcome content with short training on zones, data groups and the release path. Microsoft’s govern-at-scale guidance also lists maker and environment-admin training as part of governance.
Leavers need a process as well. Before a maker’s account closes, their apps, flows, agents and connections should move to a new owner or receive a retirement date.
Checklist
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Cross-Tenant Connections
Tenant isolation restricts connections to and from other tenants for connectors that use Microsoft Entra ID authentication, such as Office 365 Outlook and SharePoint. When isolation is off, cross-tenant connections are allowed. Microsoft also notes that the Azure DevOps connector is not covered, so restrict it with data policies if insider risk matters.
Make ALM a Production Requirement
Application lifecycle management, or ALM, is where release rules turn into daily practice. In enterprise and high-risk zones, no app, flow or agent should reach production through direct editing.
Solution checker enforcement has three modes. None does nothing, Warn lets an import continue and emails a summary, and Block cancels the import of a solution with highly critical issues. Use Warn in test and Block in production.
Pipelines in Power Platform move solutions from development to test to production. The pipelines host should be a production environment, and every other stage must be a managed environment. A deployment cannot skip a stage such as QA, and the host also stores solution backups for each deployment.
Before a solution enters production, confirm five things.
It is packaged in a solution instead of built loose in an environment. It uses connection references and environment variables instead of hard-coded connections. Solution checker reports no critical issues. In the high-risk zone, a pipeline deployed it, which leaves a record of what moved and when. It has a named support owner as well as a business sponsor.
Power BI content follows its own release mechanism, covered in the Power BI deployment pipelines guide. Keep the two release paths separate in your documentation, because they use different tools and approvals.
Govern Copilot Studio Agents
Agents built in Microsoft Copilot Studio sit inside the same governance perimeter as apps and flows, under Microsoft’s data policies for agents .
Tier Agents by What They Can Read and Do
Agent risk rises with two things, what an agent can read and what it can do. A read-only FAQ agent carries limited risk, while an agent that updates records in a finance system carries far more.
Tier Example Controls before publishing Read Read-only internal FAQ over approved SharePoint pages Knowledge sources on an allow list, with sharing limited to the team Answer Authenticated internal assistant over HR or IT content Microsoft Entra ID sign-in, and the data owner approves each knowledge source Act Agent that writes to systems such as CRM or ERP Named action list, sponsor and security sign-off, then a pipeline release
Approval rises with each step, from a team lead at Read to a business sponsor as well as security at Act. Once a tier is set, it also decides which zone and environment group the agent belongs to.
External-facing agents add a channel decision on top of their tier. Admins can classify Copilot Studio connectors such as chat without Microsoft Entra ID authentication and Direct Line channels. That way, an unauthenticated public agent can be blocked outside approved zones, which matters for agents on service channels in contact center automation .
Controls That Already Apply
Several admin controls cover agents without extra tooling. Data policies can allow or deny endpoints for SharePoint and public-website knowledge sources and for HTTP requests. Microsoft labels connector endpoint filtering as preview. Sharing limits in managed environments also cap how widely makers share agents.
Agents appear in the Power Platform inventory next to apps and flows. Add each one to the owner register from there. Copilot Studio usage consumes Copilot Credits, and because credits are pooled across the tenant, someone should own consumption for each zone.
Governance controls reduce exposure, but they do not stop an agent from giving a wrong answer or following a hostile prompt. That work sits with agent design and testing, and with a wider agentic AI governance program. It also continues through AI agent lifecycle management , from build to retirement.
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Monitoring, Audit and the Center of Excellence
Monitoring proves that the zones, policies and roles still hold after the rollout ends. It also needs a clear answer on the Center of Excellence, since the tooling behind it has changed.
The CoE Team Versus the CoE Starter Kit
A Center of Excellence is a team that sets standards, trains makers and reviews requests, and Microsoft still recommends one. The CoE Starter Kit, by contrast, was a set of templates for inventory and monitoring.
Because Microsoft no longer actively maintains the kit, new programs should build on the admin center instead of installing it.
What the Admin Center Gives You
The Power Platform inventory gives tenant admins one view of agents, apps, flows and Power Pages sites, with sites still in preview. It also maps connector usage, which helps scope a data policy before it changes.
The Security page scores the tenant as Low, Medium or High and generates recommendations. It updates every 24 hours once tenant-wide analytics is on. The Actions page adds recommendations for managed environments, with inline fixes or automation through the Power Platform for Admins V2 connector.
Audit Evidence and Clean-Up
Microsoft Purview Audit records Power Platform admin activity by default, and that collection cannot be switched off. Power Automate events, such as flow creation, edits, deletions and permission changes, are searchable there too. Retention policies for those records are set in Microsoft Purview .
Governance question Where the answer lives Owner What exists, and who owns it? Power Platform inventory Power Platform admin team Which connectors does each zone use? Inventory connector mapping, compared with data policies Power Platform admin team How exposed is the tenant? Security page score and recommendations Security team Who changed what, and when? Microsoft Purview Audit Compliance team Is capacity within entitlement? Capacity summary in the admin center Platform owner, together with finance
Clean-up comes last. Inactive or orphaned apps and flows should get a new owner or a retirement date. Check run history first, because a flow that runs once a quarter is infrequent rather than abandoned.
Teams that need help with the Purview side can look at Kanerika’s Microsoft Purview services . For tooling choices beyond Microsoft, the data governance tools comparison covers the wider field.
Licensing and Capacity Governance
Power Platform governance has no SKU of its own. Its cost shows up in four places, which are premium licenses, Dataverse capacity, Copilot Credits and admin time.
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Premium licenses follow from managed environments, as covered above. Dataverse capacity is reported in three types, database, file and log, and tenants over their entitlement face progressively stricter states.
Copilot Credits are pooled across the tenant, so one busy agent can draw down capacity meant for others. Give each zone a credit budget and an owner who watches it alongside any pay-as-you-go meters.
Licensing reviews also surface overlap between automation tools. Where a tenant runs both UiPath and Power Automate, consolidation is an option worth costing, as the UiPath to Power Automate guide explains. Any bots that move still need a zone and an owner, just like new flows.
A 90-Day Power Platform Governance Rollout
Treat 90 days as a planning horizon. Each phase ends with an exit criterion, so progress depends on evidence rather than on the calendar.
Days 1-30: See Everything
Open the inventory, list apps, flows and agents, and map connector usage across environments. Then rename the default environment, set a strict tenant-wide baseline policy and restrict environment creation to specific admins. The exit criterion is a mapped inventory, where every production asset has a named owner or a flagged gap.
Days 31-60: Pilot One Zone
Pick one zone, such as enterprise, and build its environment group, rules, data policy and release path. Turn on environment routing so new makers land in developer environments. Run solution checker in Warn mode first, then switch production to Block once makers have fixed early issues.
The exit criterion is an enforced zone, with its owner, policy and release path all working.
Days 61-90: Expand and Measure
Roll the pattern out to the remaining zones and tier every Copilot Studio agent. Then start tracking a short set of metrics, including friction measures so governance does not turn into a brake. The exit criterion is a tracked metric set that a steering group reviews each month.
Metric Healthy direction Production assets with a named owner Rising until every asset has one Makers routed out of the default environment Rising Exceptions past their expiry date Falling toward zero Solutions deployed through pipelines Rising in the high-risk zone Security page score Holding at High, or moving up Days to approve a new environment request Falling, then stable once low
Friction metrics matter as much as coverage. When approvals slow down, makers can drift back to the default environment, and unowned work starts to pile up again.
How Kanerika Helps Enterprises Govern Power Platform
Kanerika works across the Microsoft stack around Power Platform. Its RPA and Power Automate services cover automation builds, while its UiPath to Power Automate migration service moves existing bots onto the platform.
One delivery example is Trax, a global spend-management company. Kanerika migrated Trax’s 16 UiPath automations, a codebase built over two years, to Power Automate in 90 days against a 120-day deadline. The case study reports 50% less effort through automated migration and a 75% cut in annual licensing costs.
That project was a migration rather than a governance program. Even so, its steps will look familiar to a governance team. Kanerika assessed dependencies and integrations first, validated workflows in a pilot phase before full deployment, and updated training and support documentation.
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75% Lower Licensing Costs with Power Automate
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On the data and AI side, Kanerika provides data governance services and AI governance consulting , the neighboring layers this work depends on. Kanerika is a Microsoft Solutions Partner for Data & AI. It holds ISO 27001 and ISO 27701:2019 certifications, SOC 2 Type II compliance and a CMMI Level 3 appraisal.
Power Platform Governance Starts With an Owner for Every App, Flow and Agent
Power Platform governance answers the same questions for every app, flow and agent. It records who owns each one, which zone it belongs to, which data policy applies and how it reaches production. Environments, data policies, managed environments and clear roles then turn those answers into settings.
Start with the inventory and the default environment. Give every production flow an owner and a zone, then expand one zone at a time. For a second view on that first map, talk to Kanerika’s team .
Frequently Asked Questions
What is Power Platform governance?
It is the operating model that decides who can build apps, flows and agents, where they run, which data they touch and how they reach production. It combines named owners and risk zones with admin controls such as environments, data policies, managed environments and roles, all set in the Power Platform admin center.
How do you create a Power Platform governance framework?
Start by sorting workloads into risk zones, such as personal, team, enterprise and high-risk. Map each zone to an environment group, a data policy, a release path and an owner. Then set decision rights for admins, security, data owners, sponsors and makers, and design exceptions with an approver, an expiry date and a compensating control.
What are the best practices for Power Platform governance?
Lock down the default environment first and route makers to personal developer environments. Keep one strict tenant-wide data policy, then add narrower environment policies by zone. Use managed environments where the controls justify premium licenses, release high-risk solutions through pipelines, tier every Copilot Studio agent, and give every production asset a named owner.
How should the default environment be governed?
The default environment cannot be deleted, and every user who signs up for Power Apps becomes an Environment Maker there. Rename it so its purpose is clear, attach a strict data policy and turn on environment routing. That keeps the default environment for personal, low-risk experiments while real solutions move to governed environments.
Is the CoE Starter Kit still needed?
As of November 2026, Microsoft states that the CoE Starter Kit is no longer actively maintained, and its core capabilities are part of the Power Platform admin center. New programs should build monitoring on the inventory, the Security page, the Actions page and Purview Audit. A Center of Excellence team is still recommended.
What are data policies in Power Platform?
Data policies, once called DLP policies, control which connectors Power Apps, Power Automate and Copilot Studio can use. They sort connectors into Business, Non-Business and Blocked groups, and connectors from different groups cannot share data in one app or flow. They govern connectors only and do not inspect the content that moves through them.
Do managed environments need premium licenses?
Yes. Once an environment is managed, all active usage in it needs a standalone license, such as Power Apps Premium or Power Automate Premium, or a pay-as-you-go meter. Starting February 2027, users without an appropriate license can’t open apps there. Switching a broad productivity environment to managed is therefore a budget decision as well as a governance one.
How do you govern Copilot Studio agents?
Copilot Studio agents fall under Power Platform data policies, and Microsoft has enforced this in every tenant since early 2025. Tier each agent by what it can read and do, from a read-only FAQ to an agent that writes to systems. Then match authentication, knowledge-source allow lists, sharing limits and approval steps to that tier.
Does Power Platform governance include Power BI?
Power BI sits beside this governance model rather than inside it. Power BI tenant and workspace settings are administered in the Microsoft Fabric admin portal, and Power Platform data policies do not apply to Power BI content. Content protection for Power BI workspaces comes from Microsoft Purview, so coordinate the two models through shared owners.
How long does a governance rollout take?
A 90-day plan is a practical horizon for a first baseline. The first 30 days map the inventory and lock down the default environment. Days 31 to 60 pilot one zone with its group, policy and release path. Days 61 to 90 expand to the remaining zones and start tracking owner, exception and friction metrics.