Human review gives an authorized person a defined decision to make using the original evidence and a model's assessment. In an enterprise app, the review process needs an owner, clear actions, and a record of what the person decided. The application must check that the decision still applies before acting on it.
Consider a fictional purchasing app that uses a decision model to suggest whether a request belongs in software, equipment, or services. Procurement staff review the suggestion before the app routes the request. Their review determines the destination team; budget owners separately approve spending.
Copy link to headingDefine what the reviewer is deciding
"Approve" is an ambiguous button when several approvals exist in the same process. It might mean the category is correct, the vendor is acceptable, or the company can spend the requested amount. Name the action after the decision the reviewer has authority to make.
For purchase routing, the useful actions are:
Confirm category. Accept the suggested category and submit the request for routing to the next approver.
Change category. Select a different allowed category and record why the suggestion was unsuitable.
Request information. Identify the missing detail and return the request to the employee for updates.
Confirming or changing a category can make the request ready to route, while a request for information should leave it pending until the employee responds. The app should preserve who made each decision and the request revision they saw.
Define the category policy before training reviewers on the interface. If a request bundles software with implementation services, reviewers need to know whether to split it or assign a primary category. Disagreement on that rule will otherwise appear as disagreement about model quality.
For other enterprise decisions, the review actions will differ. An incident reviewer may choose the responsible response team. Someone reviewing access requests may verify evidence but lack permission to grant access. The interface should reflect those responsibilities rather than use a universal approval action.
Copy link to headingGive reviewers enough evidence to challenge the suggestion
Reviewers need to see what the employee submitted and what the model inferred as separate information. If the interface shows only the model's category, accepting it is easier than checking it. Put the source description near the controls used to confirm or change the category.
The following fictional record illustrates a review screen.
The amount supplies context; confirming the category does not approve that amount. If a field comes from employee-entered text rather than a verified record, label it accordingly. Reviewers should not have to infer which information the organization has checked.
Decision models may return a category without an explanation. Do not invent a rationale and present it as the model's reasoning. Show the actual input and the applicable category definitions. If another model generates a supporting summary, identify it as generated text and retain access to the original evidence.
Keep the model ID and the version of the question and category definitions with the review record. Those details help developers investigate changes in behavior without cluttering the reviewer's main screen. Apply access controls to the supporting documents as well as the review page, and retain evidence according to the organization's policy.
Copy link to headingHandle changes before accepting a review
Suppose Jordan opens revision 2 of the diagramming request. Before Jordan confirms the category, the employee adds a substantial implementation service and changes the amount. Jordan's review now refers to an older request.
The app should record which request revision the reviewer saw and compare it with the current record when they submit. If material fields have changed, show the reviewer the changes and require a new assessment. Preserve the outdated submission with its request revision and the reason it was not accepted so staff can reconstruct what happened.
The application must also prevent two reviewers from completing the same pending review independently. Accept a decision only if the review is still pending and the request revision still matches. The database must enforce both conditions when recording the decision so a competing review or request edit cannot invalidate an earlier check. If another reviewer has already completed the review, show the accepted outcome instead of submitting a second routing action.
Choose which changes invalidate a review based on the decision. Editing the purchase description can change its category. Updating a contact phone number usually cannot. The application can use a whole-record revision for simplicity or track the fields relevant to the review, but the rule needs to be explicit and tested.
Copy link to headingTrack review and execution separately
After Jordan confirms software, the app may need to send the request to a procurement system. That system can be unavailable even though the human review succeeded. Showing "completed" at the moment of confirmation would conceal work that remains unfinished.
Keep the review outcome and routing status separate:
Use the same action identifier for the initial routing request and every retry. Send it as an idempotency key if the downstream system supports that feature, which lets the system recognize repeats of the same action and avoid duplicate records. The app may not know whether a request succeeded after a network timeout. Without duplicate-prevention guarantees, check the downstream outcome before resending.
The workflow should preserve the accepted review while routing recovers. Changes to the underlying request or applicable policy may require a fresh assessment, but the integration failure still needs separate recovery.
Copy link to headingUse durable waiting for reviews that take time
Human review may outlast the web request that started the process. Store the pending case for the reviewer to return to, and use a durable workflow that preserves its progress across server restarts. The workflow can then continue once the application accepts the decision.
For an implementation using Vercel's Workflow SDK, awaiting a hook created with createHook pauses the workflow until application code calls resumeHook with the review result. The review submission should pass through an authenticated application route. That route checks the person's authority for the specific case and the request revision before resuming the workflow.
The hook token identifies the waiting workflow; it does not establish the reviewer's identity. Workflow SDK's hook security requirements leave authentication and authorization to the application. Derive reviewer identity from the authenticated session, rather than accepting a name sent with the form.
The application also needs a path for an unanswered review. Assign a backup team, surface overdue cases, and allow reassignment when the original reviewer is absent. Avoid treating elapsed time as approval unless the business process explicitly permits that behavior for the particular action.
Copy link to headingUse review outcomes to improve the workflow
Record why staff change a suggestion using a small, useful set of reasons, such as incorrect category, missing information, or unclear policy. Those causes require different fixes. Better form fields may reduce missing information, while inconsistent category rules need agreement among the people responsible for procurement.
Track waiting time as well as the time spent actively reviewing. Even a model that responds in seconds may do little to shorten turnaround time if requests then sit unassigned for days. Compare total routing time and time spent on rework before and after the change.
Acceptance rates alone do not establish that suggestions are correct. Reviewers may miss errors or rely too heavily on the displayed answer. Check a sample independently, including accepted suggestions, before using review results to justify automation. The next step is testing the enterprise workflow against agreed answers and explicit rollout criteria.
Copy link to headingFrequently asked questions
Copy link to headingDoes every AI decision need human review?
No. The review requirement depends on the action's consequences, the reliability demonstrated in testing, and the organization's rules. Teams may automate a bounded routing task while retaining review for ambiguous requests or actions that require a person's authority.
Copy link to headingIs human review the same as authorization?
No. Human review checks or resolves a decision, while authorization determines whether the person or system may perform an action. Someone allowed to correct a purchase category may still lack permission to approve the expense.
Copy link to headingWhat happens if a request changes during review?
The application should compare the reviewed revision with the current request before accepting the decision. Changes that affect the judgment require a fresh assessment and a clear explanation to the reviewer. Keep the previous review in the history, tied to the version the person saw.
Copy link to headingShould reviewer corrections train the model automatically?
Reviewer corrections need quality checks before becoming training or evaluation data. They may reflect inconsistent policy, incomplete evidence, or a reviewer mistake. Preserve the correction and its context, then decide whether the right fix is better input, revised criteria, or a model change.