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POWER PLATFORM AT SCALE

AI — Governing Agents Before They Go to Production

When AI is embedded at every layer of the platform, governance becomes foundational. The five accountability questions every AI agent must answer before it reaches production.

“The governance gap in enterprise AI is not about capability. It is about accountability.”

When AI was exceptional, governance was optional. When AI is embedded at every layer of the platform — in the form builder, the flow generator, the data model, the conversational interface — governance becomes foundational.

An agent deployed without documented accountability is not a product. It is an undeclared liability.


The Five Accountability Questions

Before any AI agent reaches production, five questions need documented answers.

Whose credentials does the agent use? What data sources does it access — and are they authoritative? What actions is it permitted to take — and what prevents it from exceeding those boundaries? How are its decisions traceable and explainable to a regulator or an affected individual? Who is accountable when the agent acts in a way that was not anticipated?

These are not technical questions. They are governance questions. And they are the questions regulators are already asking.


What Power Platform Provides

Copilot Studio provides agent boundaries, knowledge source controls, and topic-level action permissions. Dataverse audit logs capture agent activity with full traceability. Data Loss Prevention policies govern which data sources agents can access. Microsoft Purview extends sensitivity classification to AI-generated content. Microsoft Entra ID governs agent identity and the permissions it carries.


The Enterprise Gap

Most organisations deploying AI agents have not documented the five accountability questions. The controls exist in the platform. The accountability register — the documented answers that satisfy a governance review or a regulatory enquiry — still needs to be built.


One Action

Create an AI accountability register template. For every agent approaching production, require completed answers to the five questions before deployment is approved. The template takes minutes to create. The habit it builds is what makes AI deployment sustainable at enterprise scale.


Part 22 of 36 | #PowerPlatformAtScale

The full AI governance model, including the accountability register template and Copilot Studio governance guide, are in the book.