A comprehensive 10-point checklist for implementing AI governance in 2025, covering role definition, system inventory, risk assessment, guardrails, monitoring, data governance, policy management, access controls, compliance documentation, and team training. The guide emphasizes using an AI gateway layer to centralize control and safety measures across all LLM operations, with practical implementation examples using Portkey's platform.
Table of contents
1. Define clear roles and responsibilities2. Inventory of all AI systems in use3. Evaluate model risk and categorize use cases4. Implement guardrails on inputs and outputs5. Monitor for drift, performance, and misuseEnsure data governance and provenanceReview and update policies continuouslyImplement access and usage controls9. Maintain compliance documentation10. Train teams on responsible AI practicesGovernance is how you scale AI safely16 Impressions