I'm deploying AI agents that can call external APIs – process refunds, send emails, modify databases. The agent decides what to do based on user input and LLM reasoning.

My concern: the agent sometimes attempts actions it shouldn't, and there's no clear audit trail of what it did or why.

Current options I see: 1. Trust the agent fully (scary) 2. Manual review of every action (defeats automation) 3. Some kind of permission/approval layer (does this exist?)

For those running AI agents in production: - How do you limit what the agent CAN do? - Do you require approval for high-risk operations? - How do you audit what happened after the fact?

Curious what patterns have worked.