AI product design for the people who answer for adoption

Yes, and it is some of our most common work. The audit usually finds the model was adequate and the experience was not: users could not see why an answer appeared or fix it when it was wrong, so they stopped asking. Redesigning those moments restarts adoption more often than retraining does.

That is the exact brief this page answers. Bring the pilot as it is, awkward usage graph included. We audit where the experience loses people, redesign for adoption, and ship the fix with your team, so the next steering meeting has a curve on it.

They own the model, its data and its evaluation. We own the experience around it, and we bring them design constraints early: what needs to be explainable, where confidence has to surface, what undo requires from the pipeline. The interface gets designed against the model's real behavior, failure modes included, because that is what users meet.

A named owner with decision power, access to a handful of real users, and a weekly demo slot. That is the whole ask. You do not reorganize anything around us. We fit into your stack, your design system, and your workflows.

The audit read lands in days. The first redesigned flow, clickable and testable with your users, lands in weeks. Adoption data starts accumulating the day the fix ships, so by week four you have a curve to show, whichever way it points.