Govern AI agents with Fabric semantic models and Copilot Studio
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Use Power BI semantic models as the governed calculation layer for AI agents, with Fabric data, Copilot Studio reasoning and explicit security boundaries.
Posted 
Governance card: AI agents need governed context, not raw data. Anchor calculations to one source of truth.
By Power Platform Governance
1 min read
TL;DR
Power BI semantic models provide governed calculations, relationships and business rules so Copilot Studio and data agents can reason over financial and operational data without inventing metrics. The proposed architecture has five layers: Data, Logic, Tools, Skills and Governance, with permissions and compliance applied to agents as digital employees.
Original on M365 FM. Read the original · suggested by Mirko Peters
This is our own summary, not a republication or full translation.
Governance takeaway
- Makers: Use approved Power BI semantic models for agent answers so calculations and KPIs remain consistent.
- Admins/CoE: Define agent roles, permissions and security boundaries across the five-layer architecture because agents need governed context.
- Security/Compliance: Apply automated compliance controls and review access to the underlying enterprise data before enabling conversational insights.
- Leadership/Business: Require a single source of truth for financial metrics so personalized AI insights do not create conflicting versions of business performance.
This post is licensed under CC BY 4.0 by the author.