AI adoption

Your AI tools are deployed. Why isn't anyone using them?

Most AI rollouts ship the tool and hope adoption follows. It doesn't. People aren't resisting AI as an idea — they're hitting capability gaps (the workflow doesn't fit how they actually work), opportunity gaps (the prompt that worked in the demo doesn't survive their real data), and motivation gaps (the early gains aren't visible enough to compound). Those are diagnosable. Once you can name them, the intervention designs itself. The pages below are how I've been thinking about that diagnostic across two years of AI adoption work — what's specific to AI, what's just classic change behavior wearing new clothes.