AI transformation can't be point-in-time: there's a new model every few days, and a roadmap built on a consulting exercise is obsolete before the ink dries
AI transformation can't be point-in-time: there's a new model every few days, and a roadmap built on a consulting exercise is obsolete before the ink dries. Bearing replaces the static current-state deck with a live instrument: a continuously refreshed map of how an organization actually works, where to deploy AI next, and whether the last deployment paid off.