Question 1

Do you have a complete list of agents currently running?

Accepted Answer

You need clear visibility into which agents are running in development, testing, and production; which teams own them; what permissions they have; and which tools or services they are allowed to call. If you don’t yet have a centralized inventory, that’s the first gap you need to close.

Question 2

Do you have any boundaries that are actually enforced?

Accepted Answer

What you need is not just policy documents and internal guidelines, but real technical controls that stop agents from exceeding their allowed scope — for example via connectivity gateways, policy engines, and role-based access configured consistently across environments.

Question 3

When something goes wrong, can you trace the entire flow?

Accepted Answer

Your organization should be able to follow the full chain from user request, to agent actions, to the final system changes. Without that end-to-end traceability, it’s very hard to investigate incidents accurately or assign accountability.

How to Govern Autonomous AI Agents in Production with an AI Agent Governance Framework