AI rollout plans often assume the organization needs a new center of expertise.
Sometimes it just needs to notice the operators it already has. The people who understand the work end to end, keep informal process maps in their heads, and know which step is performative because they have lived with it for years. Those people are often better AI champions than the loudest tool enthusiasts.
Boz Vitanova's point is practical: AI adoption has to grow from the work.
Traditional rollout playbooks struggle because the tool keeps changing. A mandate from leadership can create license usage without capability. Power users can create impressive demos that never connect to company objectives. Time saved is easy to claim and hard to trust if nobody ties the workflow to an outcome that matters.
The better pattern is to find high-performing, process-oriented people and help them build workflows that match the way work already moves. Then connect those workflows to OKRs or business goals so success is visible outside the enthusiast circle.
This also changes the product development lifecycle. Some translation layers are getting compressed. Junior roles will feel that pressure first, which makes intentional apprenticeship more important, not less.
AI champions are not mascots for a rollout. They are operators with enough context to keep the technology honest.
Related episode: Turning Top Performers Into AI Champions With Boz Vitanova.
