When AI Boosts Efficiency, Who Takes Responsibility?
The article explains how many organizations start AI projects with safe pilot scenarios and see productivity gains, but then stall because accountability mechanisms lag behind, and it proposes a detailed framework for assigning decision ownership, matching governance intensity to impact, measuring performance, and establishing continuous improvement loops.
