Tam Gregersen

Author  ·  Enterprise AI Strategist  ·  Director, Cloud & Security Architecture

The problem I've spent my career on

Most organizations don't fail at technology. They fail at alignment — the persistent gap between what software and systems can do, what technical teams are building, and what leadership actually needs. That gap costs more than most organizations ever measure: in wasted investment, in initiatives that never scale, in decisions made without the right information, and in technology that works in isolation but never quite changes the business.

I've spent my career trying to close that gap. First as an infrastructure and security architect, learning how technical systems actually work and what they require to run reliably. Then as a cloud and security leader, translating that technical depth into strategy, governance, and organizational decisions. And now as a writer and practitioner focused on the most consequential version of the alignment problem facing enterprises today: artificial intelligence.

That argument is the foundation of everything I write and build at Operating Altitude.

What I work on

Operating Altitude is where I develop and publish frameworks for enterprise leaders navigating the intersection of AI, architecture, and organizational design. The work is practitioner-first: grounded in how enterprises actually function, not how they appear in analyst reports or vendor decks.

My current focus is the Enterprise AI Operating Model — a comprehensive framework for how organizations build the governance, measurement, workflow, security, and infrastructure foundations that allow AI to produce durable business value rather than isolated pilots. The book is nearly complete. Companion resources are available now.

Published work

Background

My background is in enterprise architecture, cloud infrastructure, and cybersecurity — built across more than two decades of hands-on technical and leadership work in complex organizational environments. I've designed Zero Trust architecture, led cloud security programs across Azure and AWS, governed identity and access at enterprise scale, and built the compliance frameworks that allow organizations to operate in regulated environments.

The work at Operating Altitude started the way most useful frameworks do — not from a plan, but from a problem I wanted to solve. Part of that problem was I kept watching organizations deploy AI and struggle to show results, not because the technology failed them, but because the management system around it hadn't changed. That observation became the Enterprise AI Operating Model. That paper revealed a gap in how organizations make infrastructure decisions, so I wrote the Infrastructure Decision Guide. That revealed a gap in how employees actually use AI across business functions, so I wrote AI at Work. When I thought I was done, the security dimension surfaced — CISOs were being asked to secure systems they didn't select, without a practical playbook. That became the 90-Day AI Security Playbook. Then I looked at what I had built and recognized it was a book.

I didn't set out to write a book about AI. I set out to solve a problem and kept following it wherever the logic led. That's what Operating Altitude is — the accumulated thinking from that journey, shared in a form others can use.

The frameworks here are not theoretical. They came from understanding how technology actually behaves inside complex organizations, from watching the gap between technical capability and business outcome cost organizations more than it should, and from refusing to let good thinking go to waste.

Get in touch

For inquiries: tam@operatingaltitude.com