Bridging the gap between AI governance policy and the teams that must execute it - in pharma, financial services, and healthcare.
Governance that works in practice - not just on paper.
"Most AI governance failures are not technical. They happen in the gap between what the policy says and what the organization actually does."
Daniel Ngueya is an AI governance advisor and DBA candidate (Marymount University) researching the operational dimensions of AI governance in regulated industries - building frameworks that hold under real regulatory scrutiny.
Schedule a 30-minute call to discuss your AI governance challenges.