Three AI platforms, definition through to release

The situation

A company building in the digital trust and AI space needed capability that did not exist to buy. The thinking and the building had to sit close enough together that a specification handed to strangers would have lost most of it.

What I did

• A decision fluency platform, from product definition through to released software. It reads how a leader turns information into decisions, and how those decisions show up as leadership, across two connected instruments and ten measured behaviours. The output is a profile a person recognises rather than a score they argue with.
• A media platform for data, analytics and AI leaders, the same route. Editorial, interviews and events built around the questions that only come up once you are accountable: how to read a value claim before funding it, what a board brief has to do, why explainability belongs to the decision rather than the model. A readiness diagnostic and a decision led framework sit behind it, so a reader can place themselves rather than only read about other people.
• An adoption index, in build. A quarterly reading across six dimensions covering access, usage, workflow integration, trust and business value, comparable across business units and repeatable year on year.
• Owned the architecture, the data model, the measurement design and what ships in what order, with each release instrumented from the first day rather than the first review.