How do you build confidence before giving AI agents more autonomy?
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One thing I've noticed is that giving an AI agent more autonomy isn't usually a technical decision—it's a trust decision.
Before allowing an agent to take more responsibility, what gives your team enough confidence?
Do you increase autonomy gradually, require human approval, monitor success rates, or follow another process?
I'm curious how different teams balance autonomy with reliability in production.
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the thing that actually moved the needle for us wasn't success rate, it was sorting tasks by how expensive a wrong call is to undo. an agent that can mess up a draft or a local file gets a long leash immediately, because being wrong costs you a redo. an agent that can send a message, spend money, or touch anything another person sees gets a human in the loop no matter how good its track record looks, because being wrong there costs someone else's trust and you can't always undo that with an apology. success rate tells you how often it's right, not how bad it is when it's wrong, and those are different questions. gradual rollout by task type ends up mattering less than gradual rollout by reversibility.