Free checklist

AI Readiness Checklist

10 questions to answer before you start an AI project

Most AI projects that fail do not fail because of the model. They fail because the use case, the data or the people were not clear. Answer these ten questions honestly; each clear "yes" makes your project faster, cheaper and safer.

What's inside

1. 01One concrete use case
2. 02A measurable goal
3. 03Where the data lives
4. 04Data protection decided
5. 05Systems to connect
6. 06Human in the loop
7. 07A quality bar with examples
8. 08Users, devices and languages
9. 09Operations after launch
10. 10Budget, timeline and a stop rule