In development
AI Governance Isn't an AI Problem
Most AI governance failures are really failures of ordinary risk management, vendor review, and decision rights — AI just makes the gaps more visible.
I haven't published here yet, but these are the pieces I'm actively developing — drawn from 25+ years of technology leadership and the questions I keep coming back to. Check back for the finished essays.
In development
Most AI governance failures are really failures of ordinary risk management, vendor review, and decision rights — AI just makes the gaps more visible.
In development
Why treating AI as its own separate initiative usually backfires, and what it looks like to fold AI into strategy an organization already has.
In development
Lessons on decision-making, communication, and prioritization from leading a business through recovery under real pressure.
In development
Notes on building a technology organization — not just infrastructure — while a company grows far faster than its systems were designed for.
In development
Smaller teams have less room for error and fewer people to catch mistakes, which makes deliberate technology strategy more important, not less.
In development
A case for keeping technology decisions anchored to organizational purpose instead of chasing capability for its own sake.
In development
Why most technology transitions succeed or fail based on trust and communication, not the technology itself.
In development
Licenses don't change how people work. Training, workflow design, and permission to experiment do.