Purpose
Roles, evidence gates, risk tiers, oversight routines and decision records for enterprise AI governance.
FRAMEWORK
AI Governance Operating Model
Roles, evidence gates, risk tiers, oversight routines and decision records for enterprise AI governance.
framework routeevidence-oriented modelhuman review required
Evidence artifacts
Use the model to collect decision records, assumptions, risk boundaries, review checkpoints and operational evidence before relying on the output.
Use limits
This framework supports structured review. It does not replace accountable expert review, certification, regulatory approval or operational sign-off.
RELATED TOOLS
Instruments that operationalize this model.
Open a tool to turn the framework into an evidence checklist, readiness score or decision artifact.
AI Assurance
AI Governance Evidence Mapper
Maps an AI use case to the governance evidence required before approval, release or expansion.
open instrument → AI AssuranceAssurance Radar
Measures eight AI assurance dimensions and produces a maturity radar with evidence gaps and next artifacts.
open instrument → AI AssuranceAI Control Readiness Review
Checks whether an AI initiative has enough controls, evidence and ownership to proceed toward production.
open instrument → Enterprise Architecture and Digital TrustAI Evidence Registry and Source-Freshness Monitor
Tracks dated sources, evidence objects, owners, review cadence and staleness for AI governance outputs.
open instrument → Enterprise Architecture and Digital TrustAI / Agentic Release Gate CI Adapter
Converts release-gate evidence into machine-checkable CI status conditions.
open instrument → AI AssuranceAI System Self-Classifier
Walks through intended use, autonomy, affected persons and context to produce a preliminary AI system classification packet.
open instrument →