AI Agent Governance Checklist | AIFlowOS
Score your AI agent controls across six governance domains: identity, data, model, action, audit, and oversight. Identify gaps and prioritise remediation to meet enterprise and regulatory requirements.
Governance Domains
Agent identity, authentication, and authorisation. Does each agent have a unique identity with least-privilege permissions?
Data access controls, classification, residency, and retention. Is agent data access scoped and audited?
Model selection, versioning, failover, and bias monitoring. Are model decisions explainable and tested?
Action scope, approval gates, rollback, and blast radius. Can agents take action autonomously or with human approval?
Decision logging, tamper-evident trails, and compliance reporting. Are all agent decisions recorded immutably?
Human-in-the-loop, escalation paths, and performance monitoring. Is there clear human accountability for agent actions?
Scoring Guide
Score each domain 0–5: 0 = Not addressed, 1 = Planned, 2 = Basic controls exist, 3 = Defined processes with documentation, 4 = Measured and monitored with alerts, 5 = Continuously improved with automated enforcement. A total score of 24+ indicates strong governance posture. Below 12 signals critical gaps requiring immediate remediation.
FAQ
What are the six domains of AI agent governance?
The six domains are: Identity (who or what the agent is), Data (what data it accesses), Model (which AI model powers it), Action (what actions it can take), Audit (how decisions are recorded), and Oversight (human supervision and approval gates).
Why is AI agent governance important?
Databricks research shows governance increases production success likelihood by 12x. Gartner projects over 40% of agentic AI projects will be cancelled by 2027 due to insufficient governance and unclear ROI.
How do I score each governance domain?
Each domain is scored 0-5 based on maturity: 0=not addressed, 1=planned, 2=basic controls, 3=defined processes, 4=measured and monitored, 5=continuously improved. Total possible score is 30.
What compliance standards apply to AI agent governance?
Key standards include ISO 42001 (AI management systems), SOC 2 (trust services), and GCC-specific regulations requiring auditable trails, data residency, and human oversight for AI decision-making.