Only 35% of engineering leaders report significant ROI from AI investments, and the gap is getting harder to close. AI is accelerating code creation faster than teams can understand what they've shipped. More code reaches production, but the operational burden of investigating failures, assembling evidence, and coordinating across services grows with it. Most ROI models don't count that work.

This playbook gives engineering leaders a framework to measure AI value across the full lifecycle, make the financial case to executives, and decide whether to build or buy production AI systems with the actual cost structure in front of them.