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.
Governance begins with a clear view of what an agent does, how the problem is organized, and what process an organization can follow.
Governance starts with understanding the system that will actually run in production.
Once the agent and its environment are understood, the next step is to collect evidence about how the system behaves.
Evaluation findings become governable when they are connected to requirements and controls.
Governance turns evidence and controls into an accountable production decision.
The method, worked end to end against one ordinary agent.
Two agents at one organization, governed with the same method and released against different bars.