Governance & Auditability

AI governance defines who can approve, operate, change and audit AI systems across models, providers, data, permissions, risk, evaluation and the full lifecycle.

Agentic AI uses models inside multi-step execution loops where they can choose tools, observe results, update state and adapt their next action within explicit runtime and permission boundaries.

Enterprise AI architecture explains how AI changes company systems across data authority, identity, permissions, providers, risk, governance, evaluation, compliance and operations.

Correct output does not prove correct reasoning, safe execution, or a trustworthy system.