Deliver a productized assessment and implementation service for one software team. The engagement maps AI usage by task and risk, strengthens requirements and acceptance criteria, installs review and testing checklists, pilots the controls on real changes, and trains developers to verify output without surrendering code ownership. Reusable assessment templates and policy modules can later become a repeatable product or hybrid managed service.

AI coding adoption is moving faster than most teams can establish quality controls. The evidence indicates that requirements clarity, exception testing, human judgment, and task-specific trust thresholds are becoming immediate operational concerns rather than abstract governance topics.