You can see how an AI agent might help, but you do not want an unchecked output becoming a business decision.
The review boundary should be part of the workflow from the beginning. It determines what the system contributes and where a responsible person takes over.
The build duration describes delivery. It does not establish accuracy or prove that review can be removed. To evaluate an agent, inspect the handoff as carefully as the output.
Separate preparation from approval
Start by describing what the agent produces. Is it gathering information, suggesting an option, preparing a record, or taking an action that changes something?
Those contributions require different levels of oversight. Preparing a suggestion for a researcher is different from treating that suggestion as an approved formulation. A clear workflow makes the distinction visible to the people using it.
Ask which step changes the status of the work from proposed to accepted. Name the person responsible for that decision. Avoid relying on an informal assumption that someone will probably check it later.
Give the reviewer something they can inspect
A fluent answer is not enough to make a decision. The reviewer needs the relevant context and a way to compare the output with the information the task depends on.
When scoping your own workflow, ask what information the reviewer should see alongside the output. Specify those needs rather than assuming every agent product already exposes the evidence in the form your team requires.
Decide what happens when the answer is uncertain
Not every case should proceed through the same path. Missing information, conflicting records, or an unfamiliar request may require a person to investigate before work continues.
Write down how those cases should be handled. Who receives them? Can the user pause the workflow? What happens to work already prepared while the issue is resolved?
These are requirements to discuss and test, not properties to assume because a system is called an agent. Read [internal link: What to Define Before Starting an AI Agent Pilot] for turning those boundaries into an initial scope.
Evaluate the handoff with actual work
During a pilot, include ordinary cases and difficult ones that the team recognizes. Ask reviewers to record what they needed to correct and whether they had enough information to decide.
Do not treat the presence of a review button as proof that oversight works. The person must understand what they are approving and have a practical route to question it.
Before approving an agent workflow, point to the exact place where a person reviews the output and decides what happens next.
