The 3 failure cases we test before any AI agent goes live

A demo shows what an AI agent can do. A release should prove what it won't do. Before any of our AI employees goes into production, we test three cases:

1. The customer asks for something unapproved, like a non-standard offer. The agent must route it for review and never apply it.

2. A system write fails, for example the CRM update times out. The agent must not report success. It retries safely or escalates.

3. The knowledge base doesn't support an answer. The agent asks a clarifying question or hands off, instead of improvising.

If any of these fail, the release waits. It's slower, but it's why enterprise teams let the agents act at all.

What's on your pre-launch checklist for AI features? What failure taught you to add it?

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