AI Workflow Readiness Checklist
A checklist for adding AI to operating workflows without skipping data quality, review, or fallback paths.
AI Workflow Readiness Checklist
AI Workflow Readiness Checklist
- Define the decision AI is allowed to influence.
- Separate extraction, classification, drafting, and final approval.
- Provide examples of good, bad, and edge-case outputs.
- Store the source input, AI output, reviewer, and final action.
- Use structured outputs when downstream tools depend on the result.
- Add confidence thresholds and escalation rules.
- Keep a manual path for urgent or ambiguous cases.
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