AI deployment, our client’s compliance officer asked us a question we couldn’t answer.

“How do you know your agent isn’t hallucinating patient symptoms?”

We had unit tests. We had integration tests. We had a model that performed beautifully on the demo dataset. What we didn’t have was an evaluation harness that could measure hallucination rate, context faithfulness, or tool-selection accuracy in production.

That gap nearly killed the project. Six weeks later, we had a 12-metric evaluation framework running against every agent response, every tool call, every retrieval operation. The compliance team signed off. The agent shipped.

Across the 100+ enterprise AI agent deployments we’ve shipped since then, that framework has evolved into the playbook below.…