Microsoft 365 Copilot
Review rollout readiness and access to grounding sources.
Microsoft AI
Microsoft AI governance for Copilot and agents.
We review Microsoft 365 Copilot, Copilot Studio, and Microsoft Foundry workloads against your tenant configuration. Identify source permissions, agent access, environment controls, and ownership requirements before implementation.
Technical focus
Start with the workload and its control boundaries.
Copilot Studio
Review agent actions, connectors, environment controls, and operating ownership.
Microsoft Entra
Examine identity, authorization, access reviews, and agent lifecycle requirements.
Microsoft Purview
Map relevant data protection and audit capabilities to the workload.
Microsoft Foundry
Review model and agent architecture, resource access, and integration boundaries.
Agent 365
Evaluate agent inventory and governance integration for the selected deployment.
Power Platform
Review environments, connectors, approvals, and workflow responsibilities.
SharePoint + Microsoft Graph
Review source permissions and the paths through which applications reach data.
Capabilities depend on the actual environment.
Licensing, product availability, configuration, and deployment model affect which controls apply. No single product automatically makes an AI system compliant or fully governed.
Official technical references
Terminology reviewed October 7, 2026. Validate applicability during an engagement.
Before you start
What does Microsoft AI governance cover?
Microsoft AI governance begins with the workload and the tenant. It examines how identity, source access, agent actions, environments, data protection, and operational evidence fit together. Applicable controls depend on the products, licenses, deployment model, and configuration in scope.
What should be available for the first conversation?
Bring a general description of the systems, the decision you need to resolve, the current stage of work, and the owners who can agree on access and scope. Establish a secure exchange process before sharing detailed architecture or sensitive records.
What does a useful handover contain?
The agreed scope defines what will be delivered. For this engagement, the starting deliverables are:
- Microsoft AI environment and control map
- Prioritized configuration and implementation work
- Ownership, review, and evidence requirements
Verification evidence, operating responsibilities, and unresolved dependencies should be clear before the work is handed over.