How do you design an AI governance framework for LLMOps in enterprise systems?

AI governance defines policies, controls, and auditing mechanisms to ensure LLM systems are safe, compliant, and auditable.

An enterprise AI governance framework ensures LLM usage complies with legal, ethical, and operational constraints. It includes model approval workflows, prompt review systems, dataset provenance tracking, access control policies, audit logging, and periodic risk assessments. Governance also enforces guardrails for hallucinations, toxicity, and data leakage. It acts as the control plane over all LLM operations.