Insights
Thinking from the vantage point, written as it develops.
Notes on AI transformation, organizational change, and the structural questions that come up when twenty-five years of practice meets a new technology cycle.
Recent thinking
A few of the questions this practice keeps returning to.
Representative entries. The full, regularly published record lives in the AI Change Intelligence newsletter.
Governance
Trust erodes before performance does
Override hesitation, escalation avoidance, and quiet workaround behavior show up in the data weeks before a KPI actually moves. Most governance models are built to catch the KPI miss. The more useful ones are built to catch the silence before it.
Portfolio
Every AI initiative is a hypothesis, not a commitment
Sunk-cost bias is the quiet killer of AI portfolios. The organizations that pivot fastest are the ones that built the review discipline to ask, on a fixed schedule, whether the original value case still holds.
Adoption
Deployment is not the same claim as embedding
A tool can be fully rolled out and still sit beside the work instead of inside it. The gap between those two states is where most enterprise AI investment quietly goes to die, and it is almost never a technology problem.
The full record
AI Change Intelligence
Bi-weekly practitioner insight on AI change architecture, published through AI Change Loop™. Field signals, framework application, and one diagnostic question, every edition.
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Field signal
What is happening in AI transformation right now
Framework in practice
One concept applied to a real scenario
One question
A diagnostic to use immediately
Worth your time
One curated external read
What is coming
A look at the next edition.
More thinking, and more work, is always underway.
See the books and frameworks this thinking has produced, or get in touch directly.