Buyer resource · PDF

Human-Reviewed AI Workflow Checklist

A practical checklist for prompt contracts, typed outputs, reviewer roles, evidence visibility, fallback rules, blocked actions, and audit destinations.

Who should use this

Engineering, operations, product, and governance teams designing an internal AI workflow.

Problem it helps evaluate

A useful AI draft can become an operational risk when review ownership and downstream authority are implicit.

Version: 1.14.0 · Modified: 2026-06-17 UTC

How to use it

  1. Define the workflow and human owner.
  2. List allowed sources and refusal rules.
  3. Specify typed output and required evidence.
  4. Define review, edit, reject, block, and escalation states.
  5. Choose audit events and release criteria.

What it does not prove

The checklist does not authorize production actions or replace security, legal, or compliance review.

Next step

Start with a short fit call, then scope the assessment.

The first conversation should decide whether the next step is a fixed-scope assessment, modernization blueprint, governed AI pilot, or reliability review.

Book a 20-minute fit call