A documented system of policies, controls, and review cadences ensuring that AI usage is lawful, safe, and aligned to enterprise values. With the EU AI Act, NIS
An AI governance framework is the operating system for responsible AI: policies (acceptable use, risk appetite), structures (review boards, accountable owners), processes (use-case intake, risk classification, conformity checks, incident response), and tooling (system inventory, documentation, monitoring). It maps obligations, EU AI Act, sector rules, internal ethics, onto the AI lifecycle from idea to retirement.
Governance is now a deployment prerequisite: regulators demand demonstrable control, enterprise customers audit it in procurement, and agentic systems make ungoverned AI an operational hazard. Done well, governance accelerates teams: clear lanes beat case-by-case escalations; done badly, it's either theater or a blocker.
An accountable owner, an AI system inventory, a simple risk-tiering rubric with proportionate review, acceptable-use policy, and an incident path. Start lightweight and harden where regulation or stakes demand.
Proportionality and self-service: clear risk tiers with fast lanes for low-risk uses, golden-path platforms that bake controls in, and review SLAs. Govern the risky few, enable the harmless many.
NIST AI RMF for structure, EU AI Act for binding obligations if you touch Europe, ISO/IEC 42001 for certifiable management systems, plus sector rules. Map once internally, comply many ways outward.