Working tool · published
AI workflow readiness checklist
Assess task boundaries, source data, exception handling, human review, security, observability, and measurable value before automating.
Reviewed 2026-07-20 · National guidance, Austin proofBrowser checklist
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The task and the failure mode
Built for: Teams deciding whether a recurring business process is ready for an AI-assisted workflow.
Automation fails when the task has unstable inputs, undefined correctness, no exception owner, sensitive access, or no baseline cost and quality measure.
Workflow
- 01Define the bounded decision or transformation.
- 02Inventory inputs, permissions, and failure modes.
- 03Specify human approval and escalation points.
- 04Design logs, evaluation, rollback, and access controls.
- 05Pilot against a baseline before expansion.
Evidence to retain
- Representative inputs including edge cases.
- A written output-quality rubric.
- Named owner for exceptions and incidents.
Release checklist
- Stable task boundary
- Authorized data access
- Representative examples
- Acceptance rubric
- Human review gate
- Failure and rollback path
- Audit log
- Baseline time, cost, and quality
Boundaries and caveats
A high checklist score does not remove the need for a bounded pilot.
Sensitive, high-impact, or regulated decisions need qualified governance and security review.
Primary sources
- NIST AI Risk Management Frameworkwww.nist.gov
- Google Search Central: Creating helpful, reliable, people-first contentdevelopers.google.com
- Google Analytics: About key eventssupport.google.com