Skip to content

AI Governance

Definition

AI governance is the system of policies, controls, accountability, and oversight used to manage AI safely and effectively.

AI governance answers questions every serious business eventually has to ask: who owns the agent, what can it access, what can it do, how is performance measured, how are mistakes handled, and who is accountable when it acts incorrectly?

For SMBs, governance does not need to mean enterprise theater and 47 committees. It means practical operating rules. Define permissions, approval points, logging, review cadence, data boundaries, and shutdown procedures. Boring? Yes. Useful? Also yes.

Related terms

AI Guardrails

AI guardrails are rules, constraints, checks, and controls that limit what an AI system can say or do.

Agent Permissions

Agent permissions define what data, tools, actions, and systems an AI agent is allowed to access or control.

Audit Trails for AI Agents

Audit trails for AI agents are logs that record what an agent did, what tools it used, what data it accessed, and what outputs it produced.

Human-in-the-Loop AI

Human-in-the-loop AI is a design pattern where humans review, approve, correct, or guide AI actions at key points.