20-Point AI Adoption Framework© Checklist

What’s Inside:

The checklist covers all 20 foundational steps including: defining the problem, testing assumptions, identifying risks, data readiness, AI security, governance, human-in-the-loop oversight, and more.

AI Adoption doesn’t require more fear or hype. It requires clarity.

Based on my aviation career and 15 years inside the fast-moving world of tech, I created this pre-flight checklist as the distilled essence of all 20 posts of the 20-Point AI Adoption Framework©.

It’s a simple, actionable guide designed to help any organization adopt AI responsibly and confidently. It gives you the questions to ask, the guardrails to assess, and the foundation to build upon.

Check each post here:

1. Define the Problem

2. Test Assumptions

3. Identify Risks

4. “Slop” Happens

5. Purify Your Data

6. Stakeholder Alignment

7. The Data Steward Mandate

8. Data Readiness Score

9. AI Data Security

10. AI Innovation Safety

11. AI Governance

12. AI Governance Council

13. The AI Illusion

14. The Ethics of Acceleration

15. The Environmental Cost of Intelligence

16. Human-in-the-Loop is the Moat

17. The Gravity of Now

18. A Letter to Leaders

19. Ask More Questions

20. The Moment We Choose

Feedback welcome!

Editors note: This is the rejected main image for this post. I took a very scientific family poll, and went with the logo-based image generated by ChatGPT 5.1. Sadly, my Gemini Nano Banana Pro experiment was kind of a fail, since I wasn’t able to get the words to all match the actual words in the checklist below. But I really liked it overall and decided to keep it as it is representing the moment in time right now with image generation.)

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