Most failed AI investments fail before they start — the organization wasn't ready and nobody checked. This checklist runs the three-foundation pre-flight (process health, data quality, team capacity) so you know whether to invest now, fix first, or wait.

What's inside

Three readiness areas with explicit signals for go, fix, and no-go. Use before you commit budget to any AI initiative larger than a productivity-tool pilot.

How to use it

  1. Walk through every item in order — skipping ahead usually means missing the prerequisite that makes a later item work.
  2. Score honestly. The point of a checklist is to surface gaps, not to feel good about what's already done.
  3. Run it again in 90 days. Checklists are a baseline; the value is in the delta between runs.