Intellectual Property
Governance Frameworks
Structured models for AI governance, developed from advisory practice and grounded in regulatory reality. These frameworks inform every engagement.
AI Autonomy Levels Model
Classification framework
A four-level classification system (Assisted, Supervised, Delegated, Autonomous) that maps AI agent capabilities to governance requirements. Used to determine oversight intensity, decision rights, and risk controls for each deployment.
Decision Rights Matrix
Accountability framework
A structured model for assigning accountability across AI-augmented decisions. Maps who proposes, who approves, who overrides, and who audits, preventing the accountability vacuum that undermines most AI deployments.
Governance Stack Diagram
Architecture framework – Coming soon
Risk Tiering Framework
Risk classification – Coming soon