How does AI Catalyst run AI projects?

Question

Accepted Answer

We follow a pragmatic path: discovery, design, pilot and scale, always with measurable KPIs, evaluation and governance in place. The first step is to understand users, systems, data, risks and metrics. Without that, most AI projects drift into broad experimentation with weak business value. Once scope is clear, we prefer bounded pilots with explicit success criteria. That creates momentum and reduces delivery risk before a wider rollout.