- ·Full autonomy is the wrong default for regulated work.
- ·Let the agent prepare. Let a human approve anything consequential.
- ·Gate on risk: route the unusual to people, auto-run the routine.
- ·Every action, approved or not, lands in the log.
The fear that stops most agent projects is simple: what if it does something wrong on its own? It is a fair fear, and the answer is not a better promise about the model. It is a design where the agent never makes the final call on anything that matters. Autonomy is a dial, not a switch, and for regulated work you set it deliberately.
The false choice between manual and autonomous
Teams often think they must pick between doing everything by hand and handing the keys to a machine. Neither is the goal. The useful design sits in between: the agent does the slow, mechanical ninety percent, and a person spends their judgment only on the ten percent that needs it. You keep the human where humans add value, and remove them where they were just re-keying.
Designing the gate
An approval gate is a defined moment where the agent stops, presents a prepared decision, and waits for a human to confirm or reject. Good gates are specific: a payment above a threshold, a vendor whose bank details just changed, a record that does not reconcile. The agent does all the preparation so the human reviews a finished decision in seconds, instead of doing the work from scratch.
What to automate and what to escalate
Tie the gate to risk, not to habit. The routine and verifiable can run automatically and simply be logged. The unusual, the high-value, and the irreversible should always pause for a person. Done well, the volume of work that reaches a human drops sharply while their control over the outcomes goes up, which is exactly the trade a regulated team wants.
