Buyer resource · PDF

Enterprise AI Readiness Checklist

A buyer and technical-team checklist for deciding whether an AI use case has clear sources, owners, review boundaries, and measurable value before tool selection.

Who should use this

CTOs, engineering leaders, workflow owners, compliance owners, and technical evaluators exploring an AI pilot.

Problem it helps evaluate

Teams often choose a model before defining the workflow, evidence, data boundary, reviewer, failure states, and downstream authority.

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

How to use it

  1. Select one candidate workflow.
  2. Identify allowed sources and data sensitivity.
  3. Name the human owner and reviewer.
  4. Define what AI may draft and what it may not do.
  5. Record measurable success and failure criteria.

What it does not prove

Completing the checklist does not certify readiness, compliance, safety, or production suitability.

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