Scaling AI Governance with Risk-Based Oversight

AI adoption can outpace oversight when inventories, ownership, approvals, and monitoring remain fragmented across legal, security, compliance, IT, and business teams. The article defines an enterprise governance framework built around AI inventory and risk classification, accountable ownership, human oversight, security, continuous monitoring, and periodic review. It also proposes a five-level maturity model and proportional controls that vary by business impact, data sensitivity, autonomy, and reversibility. Technology leaders should embed these controls into procurement, deployment, onboarding, and vendor management so governance enables safe scale rather than becoming a separate compliance exercise.