Establish accountable AI governance before adoption outpaces organizational control.
Designed for organizations adopting AI applications, copilots, embedded AI capabilities, or autonomous agents without a complete inventory, clearly assigned ownership, consistent approval controls, or lifecycle oversight.
What we assess
AI application and agent inventory
Business and technical ownership
Acceptable-use policies and approval processes
Data access and information-handling controls
Vendor, licensing, cost, and contractual visibility
Security, privacy, compliance, and operational risks
Monitoring, exception management, and retirement
Alignment between AI governance, ITAM, cybersecurity, procurement, and data governance
What you receive
AI governance readiness scorecard
Initial AI-estate inventory framework
Ownership and accountability matrix
Risk and control-gap analysis
Governance operating-model recommendations
Prioritized implementation roadmap
Typical engagement: 2–4 weeks
Establish accountable AI governance before adoption outpaces organizational control.
Designed for organizations adopting AI applications, copilots, embedded AI capabilities, or autonomous agents without a complete inventory, clearly assigned ownership, consistent approval controls, or lifecycle oversight.
What we assess
AI application and agent inventory
Business and technical ownership
Acceptable-use policies and approval processes
Data access and information-handling controls
Vendor, licensing, cost, and contractual visibility
Security, privacy, compliance, and operational risks
Monitoring, exception management, and retirement
Alignment between AI governance, ITAM, cybersecurity, procurement, and data governance
What you receive
AI governance readiness scorecard
Initial AI-estate inventory framework
Ownership and accountability matrix
Risk and control-gap analysis
Governance operating-model recommendations
Prioritized implementation roadmap
Typical engagement: 2–4 weeks
