AI knowledge rollout: pick first users by receptiveness, Nikkei Crosstech column advises

The column sits in a series that has already covered the earlier machinery of an AI knowledge program: KPI gates, criteria for pulling back or revising the effort, and deciding measurement data up front while standing up knowledge preparation as a service. This installment picks up exactly where that left off — at the point a company has cleared its proof-of-concept gate and committed to production.

The question it poses is organizational rather than technical: who should be the first users, in what order should the organization be widened, and how does the practice take root in daily work. The answer offered is to select the first users by receptiveness and expand in stages, folding in the concern raised at the end of the previous installment — accommodating changes to work processes and habits.