Key points
- Give reviewers the proposed action and the information supporting it.
- Limit tool permissions to the task, including separate read and write access.
- Define when the agent should stop or hand work to a person.
Put the important decisions in view
Human oversight works best when it is part of the workflow. A person should understand what an agent intends to do, what information supports the action, and what the consequences may be. An approval button alone is not enough if the reviewer cannot assess the decision.
Use the smallest useful set of permissions
Give an agent access only to the information and tools its task needs. Separate reading from writing. Separate drafting from sending. A research agent usually does not need permission to change a customer record, and a drafting agent does not automatically need permission to publish.
Make actions traceable
Record the meaningful inputs, tool actions, approvals, and outcomes of a workflow. Useful records help teams investigate mistakes and improve the system. They should also respect privacy, with deliberate choices about what is retained and who can see it.
Plan for uncertainty
Agents should have a way to stop, ask for clarification, or hand work to a person. Define what happens when information is missing, a tool fails, or a result does not meet the expected standard. A safe handoff is often a better outcome than continuing with a weak assumption.
What an approval step needs to show
- The exact action proposed, including which record or system it changes.
- The sources used and the information that is still uncertain.
- The effect of approving, rejecting, or editing the proposal.
- A record of the decision and a clear route for handling an error.
Sources and further reading
These primary sources provide background on agent design and AI risk management. The workflow examples and checklists above are TRAVRENZO’s editorial guidance.