Talks and workshops on designing AI people trust.

I speak at conferences, offsites, and leadership events about the part of AI most product teams skip: whether people will actually use the thing. Fifteen years designing enterprise software in regulated industries, most of it now spent on AI, turned into sessions that are practical rather than promotional.

Recurring themes: why AI projects stall between demo and daily use, how to design for trust when the model can be wrong, and what drives adoption once the novelty wears off. Each talk is grounded in the research my pattern library cites, not in hype.

Formats range from a 30-minute keynote to a half-day or full-day working session where your team leaves with something concrete: a shared vocabulary for AI design decisions, a critique of your own product, or a first set of patterns to build against.