Right problem. Right tools.
We help organizations pick the AI work worth doing, prove the plan with the people who do the work, and teach the people using the tools to use them well.
Three ways we help
1. Lead the effort. (AI Implementation Leadership) For organizations with a major AI effort underway or about to start. We help you choose the right problems, sequence the work and judge every project by whether it moves the organization. It’s the portfolio discipline John’s company ProSight pioneered. The result: more bang for the buck.
What you get: a clear portfolio of AI work, measures that show it’s paying off, and a standing way to decide what’s in and what’s out.
2. Prove it first. (Discovery and Design-Partner Programs) Before you build, validate. A small group of people already doing the work tests your vision, fills the gaps and puts their endorsement on it. You keep the vision and the credit.
What you get: your plan, confirmed and sharpened by the people who know whether it will work.
3. Teach fluent drivers. (AI Fluency Training) Most people using AI at work taught themselves. Curiosity isn’t training. We teach fluent drivers, not mechanics: pick the right tool, check its work, protect private information and keep up as the tools change.
What you get: practical sessions built on our pocket cards, for executives, managers and front-line teams, including clinical teams.
You hold the vision.
Think of it as commissioning a painting. You hold the vision; we’re the painter. We learn the picture you want, then validate it with the people doing the work before anyone builds.