Audit AI agent actions with action-level logging that records what the agent was asked, what it decided, which data and systems it touched, what it proposed, who approved it, and what changed. This produces one traceable record per business action rather than fragments scattered across systems. Regulatory mapping then links those logs to the relevant framework, such as the NIST AI RMF or an ISO/IEC 42001 control, so the audit trail supports both internal review and external compliance. Logging that captures decisions, not just outputs, is what makes agent behavior defensible.