CPMAI: The AI Governance Framework No One Taught You

Most organizations are racing to deploy AI without structure, oversight, or clear roles. They build the wrong model on the wrong data for the wrong reasons, and then send it to production with no accountability.

In this episode, I walk through Cognitive Project Management for Artificial Intelligence (CPMAI) from an independent, practitioner’s point of view.

We start with KnowledgeCraft in 1979 and the discipline of explicit assumptions. Then we break down each CPMAI phase, the control loop behind the framework, and the exam traps that reveal whether you actually understand AI lifecycle governance.

This isn’t about worshipping frameworks. It’s about using CPMAI to keep AI systems aligned with business goals, real-world constraints, and human oversight, especially in regulated environments and public-sector or financial systems.

If you want AI that strengthens institutional trust instead of quietly eroding it, this episode is for you.