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# Human review plan

Turn “a person checks it” into a task someone can actually perform. Reviewers need evidence, time and the authority to correct or stop a proposed action.

[By Stolen Orbit](https://stolenorbit.com/en/about/) Revision 2026-09-24

## When to use it and what to produce

[Source for this section](https://stolenorbit.com/en/templates/human-review-policy/#template-purpose)

When AI prepares content, changes records or proposes actions that need judgement before producing effects.

Routing and approval rules with named roles, review evidence, handling windows and a fallback when the reviewer is unavailable.

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## 1\. Decide what needs review

[Source for this section](https://stolenorbit.com/en/templates/human-review-policy/#routing)

Classify actions by consequence and reversibility. Do not treat confidence reported by the model as the sole assurance that an answer is correct.

**See a worked example**

Illustrative example: a response draft stays internal. A proposed discount needs a sales owner; changes to bank details leave the automated workflow entirely.

**Actions and consequences**

List drafts, writes and sends; describe the operational harm that an error could cause.

**Review and stop rules**

Specify always-reviewed cases, verifiable automated checks and circumstances where work must not proceed.

**Cases requiring a specialist**

Define ambiguities and decisions the ordinary reviewer is not authorised to resolve.

## 2\. Make the review feasible

[Source for this section](https://stolenorbit.com/en/templates/human-review-policy/#review-task)

Design the interface and workload with the reviewer. Approval without access to sources and changes is not a useful control.

**See a worked example**

Illustrative example: the reviewer sees the original email beside the draft, corrects a product code and approves a specific identified version before it can be sent.

**Evidence shown to the reviewer**

List source material, extracted fields, proposed action, changes from the current state and warnings.

**Available decisions**

Define approve, correct, reject and request clarification; state the effects of each choice.

**Owner, backup and capacity**

Estimate case volume and review minutes, absence coverage and a manageable queue size.

## 3\. Handle delays and learning

[Source for this section](https://stolenorbit.com/en/templates/human-review-policy/#accountability)

Retain control when approval does not arrive. Record outcomes and use repeated errors to improve rules, source data and training.

**See a worked example**

Illustrative example: a draft without approval during the internal review window stays paused. The backup receives its reference and decides whether to resume the case.

**Expiry and missing approval**

Specify when to alert the backup and suspend the case; silence must not silently become consent.

**Decision trail**

Preserve case reference, approved version, reviewer, time and correction reason with appropriate access.

**Periodic procedure review**

Define who examines missed errors, queue delays and unusually rapid approvals.

## Pitfalls to avoid

[Source for this section](https://stolenorbit.com/en/templates/human-review-policy/#template-pitfalls)

-   Assigning accountability without authority to stop the workflow.
-   Allowing content to change after approval without another check.
-   Increasing volume beyond the reviewers’ actual capacity.

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[Human review of AI: a control should help someone make a decision.](https://stolenorbit.com/en/resources/human-review-for-ai/)

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