A Practical Decision Approval Checklist

Check what is actually being approved.

Identify the exact recommendation and its current version. Confirm the budget, affected teams, timing, and intended outcome. “Proceed with the pilot” is too vague if one reader expects a small internal trial and another expects a public launch. Material changes after approval should trigger renewed review rather than inheriting authority from an earlier conversation.

Inspect the supporting evidence.

Can the reviewer trace important claims to a document, measurement, or accountable source? Are the inputs recent enough for this decision? Note unresolved contradictions and distinguish a model-generated estimate from a verified business fact. A confident explanation or agreement among several agents does not establish that the underlying information is correct.

Confirm authority and required specialists.

Name the accountable decision owner. Check whether spending, data access, procurement, security, or customer commitments require another approver. A manager's approval does not replace legal advice, a security assessment, or regulated professional judgment. Route those questions to the appropriate specialist before the team treats the recommendation as executable.

Write the risk conditions in plain language.

Record what could go wrong, who bears the impact, and which safeguards must be in place. For a hypothetical customer-facing pilot, conditions might include a limited audience, human review of outputs, and a support escalation path. Conditions should be observable. “Be careful with customer data” is weaker than defining the permitted data and checking access before launch.

Define a stop or rollback rule.

Explain which signal would pause execution, who can act on it, and how the team would return to a safe state. If the decision is difficult to reverse, increase the evidence required before approval. Do not write a rollback promise when contractual commitments, data deletion, or public communications make a true reversal impossible.

Record one of three outcomes.

Approve the specified recommendation, approve it subject to named conditions, or return it for further work. Include the reviewer, date, rationale, and review deadline. Keep the record where the execution team can find it. The checklist supports judgment; it does not automatically confer compliance, transfer accountability to AI, or remove the need to reconsider when circumstances change.