A career spent on
how people learn.

John and I built custom learning management systems together at Agilence — later acquired by eLearning Brothers.

For the insurance and finance industries, we shipped LMSs that were genuinely state of the art: every feature the large players had, at a fraction of the cost, built to standards regulated industries can't compromise on. That work taught us what actually makes training stick — and what just looks good in a demo.

When generative AI arrived, we explored it honestly. We built avatar solutions on top of Synthesia, HeyGen and Colossyan. Early adopters were fascinated, but most struggled to find a use case that returned real ROI. So we kept looking for the place where it mattered.

We found it. Taking multi-hour advisor debriefs entirely off the calendar with personalized AI avatars saved our client dramatic time and money — and they're now scaling it into an enterprise program. That clarified everything: AI belongs exactly where it removes real cost or creates real practice. Nowhere else.

So we came home to learning — the thing we've done for two decades — and asked a sharper question: not “how do we use AI,” but “where does AI genuinely move the needle?” The personas, the coaches, Render 2.0 — all of it answers that one question.