COMPEL Glossary / GL-07
Agent Governance
The specialized governance framework for autonomous and semi-autonomous AI agents that extends traditional AI governance with agent-specific controls: autonomy level classification, tool access controls, data access boundaries, approval boundaries, human-in-the-loop thresholds, auditability requirements, fallback and kill switch mechanisms, escalation rules, simulation testing requirements, and agent risk tiering.
Context in the COMPEL framework
Agent governance is a transformation enabler that applies wherever AI agents operate with any degree of autonomy. As organizations move up the autonomy spectrum, agent governance controls become increasingly critical to safe operations.
Where you see this
Agent Governance is most commonly referenced when teams work across the Calibrate , Model , Produce , Evaluate and Learn stages — especially within the Agent Governance layer . It appears in governance artifacts, assessment instruments, and delivery playbooks wherever COMPEL is operationalized.
Related COMPEL stages
Related domains
Synonyms
autonomous AI governance , agentic AI governance , agent oversight , agent control framework
See also
- AI Operating System — A structured, repeatable management system that enables an organization to plan, govern, deliver, measure, and continuously improve AI capabilities across people, process, technology, and governance dimensions.
- Governance Control — A defined mechanism — preventive, detective, or corrective — that enforces policy compliance, mitigates identified risks, or ensures operational integrity for AI systems.
- Production Readiness — The verified state in which an AI system meets all prerequisites for safe, governed operation in a production environment.
Related articles in the Body of Knowledge
Related Terms
Other glossary terms mentioned in this entry's definition and context.