Adopting AI safely is a sequencing problem, not a courage problem: set the data rules first (one page), pick pilots where the payback is measured in hours and the data boundary is clean, and check what each new tool changes about your exposure. Then move fast.
Companies get stuck in one of two ditches: frozen by vague risk, or reckless because the productivity pressure won. Both come from treating "should we use AI" as one big question. It is a series of small ones, and most have clean answers once the ground rules exist.
The order that works: rules first (approved tools, prohibited data, review, owner), then the two or three pilots with measured hours and clean boundaries, then scale what proved out. Our review hands you that sequence ranked and costed; the Insulate & Innovate cohort at $1,450 a seat teaches your team to run it themselves.