Human review can seem like extra work. But checking a prepared result is different from gathering all the information and producing it yourself. A good review process focuses people’s attention on exceptions and decisions they are responsible for.
Review by Risk
Match the review to the risk
A model can be confident and wrong. Set review requirements around the consequences of an action: preparing an internal draft, publishing a post, making a customer commitment, sending a payment, and controlling equipment carry very different risks.
Run automatically and log: Organize internal material, add tags, create tasks, and compile reports without changing source data.
Run, then check a sample: Review a defined sample of reversible, limited-impact actions governed by stable rules, using a set ratio or exception signals.
Approve each action first: Public publishing, price and delivery commitments, deleting or overwriting data, payments, account permissions, and similar actions.
Do not allow: Actions that cannot currently be controlled safely or whose consequences the business is unwilling to accept.
Evidence in One Place
Give reviewers the information they need
An Approve button is not enough for an informed decision. Show reviewers where the task came from, the information the agent used, the exact action it proposes, any departure from normal rules, missing details, and the likely consequences.
For a social post, show the draft alongside the product information it uses, the platform and planned publishing time, and any price or performance claims. For an inventory recommendation, show how stock is calculated, which orders are on the way, and the rule that triggered the alert.
Assign the Reviewer
Give each decision to the right person
Send each decision to the person responsible for it. Marketing approves brand language; production or planning approves unusual delivery dates; the relevant commercial lead approves customer credit and payment terms. Routing everything to the boss creates a new queue.
Record the Changes
Use corrections to improve the system
If people keep fixing the same issue, saving the corrected output alone will not solve it. Record the reason: incorrect data, a missing rule, a wording preference, a new exception, or a decision that applies only this time.
Turn repeatable corrections into rules or reference material. Keep one-off decisions in the task record so they do not become permanent instructions by mistake.
Review the review process over time. As data, rules, and error handling become more reliable, some recurring, low-risk tasks may move from checking every action to checking a sample. New tasks may still need approval each time.
When Nobody Responds
Plan for an unanswered approval request
Approvers go on leave, attend meetings, and miss notifications. Decide what the system does if no one responds: wait, ask a delegate, cancel the task, or finish only the steps that have no external effect. Silence should not become permission by default.
Before You Launch
Check your approval process
- Every action type has a risk level and an accountable owner.
- Reviewers can see the sources, reasons, and proposed action.
- Reviewers can explain why they rejected or changed something.
- Approval, execution, and failure records show who acted and when.
- Emergency-stop and rollback paths work in practice.
- Regularly check whether each approval still adds useful oversight.
Useful human review has a clear place in the workflow, a responsible person, and a way to learn from corrections. We can help you put those details into your agent’s design.
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