Most enterprises are trying to scale AI on top of manual governance, static documents and controls no one can actually verify. This paper shows the way out.
In ‘Data Management That Thinks’, our exerts provide views on:
- Why traditional governance slows AI to a crawl
The real reasons behind shadow AI, inconsistent controls and data teams stuck in admin instead of delivery. - The three capabilities that make governance automatic
Design Observability → Straight-through Design Execution → Data Observability.
A closed loop that cuts manual effort and makes controls machine-enforceable. - What a Data Management Digital Twin actually delivers
Real-time trust in your data, instant audit evidence, fewer surprises, faster AI. - A realistic 3–4 year roadmap
No jargon. No fantasy timelines. Just what it takes — and where to start.
Mark McQueen
Managing Partner & CEO, Head of North America, Ortecha
Matt McQueen
Senior Consultant, Ortecha
