AI Agent Governance

An End-to-End Guide to Evaluating, Governing, and Releasing AI Agents with ProofAgent

A practical field guide to deciding whether an AI agent is ready for production — how to evaluate its behavior, score its context, turn requirements into testable controls, and make a release decision you can defend to an auditor.

By Dr. Fouad Bousetouane · 154 pages · free to read.

Part I · From AI Agents to Production Readiness

Governance begins with a clear view of what an agent does, how the problem is organized, and what process an organization can follow.

Part II · Understanding the AI Agent

Governance starts with understanding the system that will actually run in production.

Part III · Evaluation and Context

Once the agent and its environment are understood, the next step is to collect evidence about how the system behaves.

Part IV · Compliance and Controls

Evaluation findings become governable when they are connected to requirements and controls.

Part V · Governance and Release

Governance turns evidence and controls into an accountable production decision.

Part VI · Applying the Framework

The method, worked end to end against one ordinary agent.

Part VII · Use Cases

Two agents at one organization, governed with the same method and released against different bars.