Most teams stall at the same point: the agent works, but nobody trusts it enough to let it touch a customer. The answer is not a better prompt. It is a review surface.
In Enverif, an approval policy sits between the agent's decision and the real-world action. A drafted email waits. A CRM write waits. A scheduled post waits. A human sees the exact payload, approves or edits it, and the run continues.
This has a second-order effect: approvals produce training data about your own standards. After a few dozen approvals you can see which categories of action are always approved unchanged — and those are exactly the ones worth making autonomous.
Start with everything gated. Loosen deliberately. That order is much easier than the reverse.
Put your first AI employee to work this week.
Start on Enverif Cloud, or clone the repository and self-host. Approvals are on by default either way.