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Business decision review: evidence, ownership and follow-through

A copyable business decision checklist: name the owner, attach evidence, compare alternatives, set approval limits and record follow-through. Includes scoped guidance for AI-assisted review.

Decision-review checklist

  1. Decision and owner: State what must be decided, who is accountable and who must be consulted.
  2. Evidence: Attach the source for each important claim. Label estimates and assumptions, and identify what remains unknown.
  3. Alternatives: Include keeping the current approach. Compare the consequences, costs and dependencies of each option.
  4. Approval and limits: Record who can approve the action, which constraints apply and what would require escalation.
  5. Follow-through: Record the chosen action, the owner, the review date and the measures that will show whether it worked.

Reviewed and updated October 8, 2026.

A useful decision record: An important business decision should leave a trace of the question, the evidence, the alternatives and the person responsible for what happens next.

Find the source of delay

Follow a decision through request, review, revision and approval. Record where it waits and why: missing evidence, unclear authority, an unresolved dependency or disagreement about the goal. Keep the time spent reviewing separate from time spent waiting.

Review speed and quality together

Define what a sound decision requires before setting a deadline. Record the consequences of delay and the consequences of acting on incomplete information. Where an action can be reversed, agree on a bounded trial and the conditions for continuing or stopping it.

Use AI within an explicit review process

An AI system can help organize source material, extract candidate facts or prepare a draft comparison. Require the reviewer to check important claims against their sources, label assumptions and retain responsibility for consequential actions. Evaluate the system on the actual task before relying on its output.

Related reading

The business-case evidence review shows why meeting summaries were checked against verbatim transcripts. The conversation-intelligence architecture report describes source-linked facts, with prototype and synthetic-data demonstrations labeled by status.

For delivery scope, see AI business-case and ROI modeling and custom AI development. Request a project review to discuss the decision process you need to improve.

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