This space is intentionally incomplete.
Over the last years, I’ve spent a large part of my work at the intersection of product leadership, organizational change, and emerging technologies, most recently AI. Across different companies, industries, and operating models, one pattern keeps repeating: the technology changes fast. Organizations change slowly.
And most of the real work happens in the gap between the two.
This page is where I’m collecting my notes, observations, and patterns around what the current wave of AI actually means in a business context, beyond hype, tooling, or surface-level experimentation. Much of this thinking comes from working closely with leadership teams and practitioners, seeing what sticks, what fails, and why.
Over time, as these ideas reach critical mass, this will evolve into a condensed, structured synthesis: a blend between a briefing, a white paper, and a practical framework.
But a pragmatic lens on how AI adoption, strategy, and organizational behavior intersect in the real world.
For now, this is a living space. Fragments first. Structure later.
Clarity earned, not assumed.
