AI Agent Readiness FAQ for Founders: No. A working demo proves the happy path. Readiness means the team has tested failures, permissions, cost, latency, rollback, escalation, and what happens when the user asks for something risky.
Is a working demo enough?
No. A working demo proves the happy path. Readiness means the team has tested failures, permissions, cost, latency, rollback, escalation, and what happens when the user asks for something risky.
What should we test first?
Start with the workflows that can cause customer harm: account changes, refunds, data lookup, email sending, tool actions, or advice that users may act on. Low-risk FAQ answers can wait.
Do we need human approval?
If the agent can change data, spend money, contact customers, or expose private information, yes. Human approval does not need to be permanent, but it should exist until the workflow proves stable.
When should we ask for an outside review?
Ask before a public launch, before adding powerful tools, after a serious failure, or when the team cannot clearly explain the agent’s permission boundary.
What does “ready” look like?
Ready does not mean perfect. It means the team knows the main risks, has tested them, can see what the agent did, and can stop or reverse bad behavior quickly.
Recommended next step
Use this article together with AI Agent Readiness Audit and Sample AI Agent Readiness Audit Report. If you are preparing a real launch, also run the AI Agent Readiness Self-Assessment.