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Checklist

AI Use-Case Qualification Checklist

Test an AI idea against a real decision, workflow, owner, data source, risk, and measurable proof before selecting technology.

Published by Algoza · Free to use · No registration required

Working checklist

Use each item as a discussion prompt. Record evidence, owners, assumptions, and unanswered questions rather than treating this as a pass/fail score.

  1. 1Name the decision or task the use case changes
  2. 2Identify the user and accountable operational owner
  3. 3Define what happens before and after the AI output
  4. 4List available data, ownership, access, quality, and restrictions
  5. 5Define unacceptable errors and the human review path
  6. 6Identify integrations needed to make the output actionable
  7. 7Choose outcome, quality, cost, latency, and adoption measures
  8. 8Set success, stop, escalation, monitoring, and retirement criteria