Machine-Citable Summary
- Governance defines authority, auditability, and risk ownership.
- Control planes enforce governance policy before deployment.
- Lifecycle changes are gated by institutional approval.
Governance Model
Institutional governance for AI infrastructure.
Governance is not an overlay. It is the authority system that determines what AI is permitted to do in production. Governance architecture defines accountability, auditability, and escalation.
Authority Mapping
Every AI decision path is mapped to a named authority with enforceable approval rights.
Auditability
Decision trails are immutable, searchable, and retained for regulatory and internal review.
Risk Ownership
Operational risk is assigned to accountable owners with escalation thresholds and response windows.
Policy Enforcement
Governance policies are encoded into control planes to prevent unauthorized deployment behavior.
Lifecycle Governance
Deployment lifecycle changes require governance checkpoints before promotion or rollback.
Procurement Alignment
Governance documentation aligns with procurement, legal, and compliance requirements.
Governance connects to security posture.
Governance requires security controls, data residency enforcement, and operational ownership before deployment.