Governance & Fiduciary Risk Management
Board-defensible AI governance that satisfies fiduciary duty, withstands regulatory scrutiny, and enables delivery at the speed the market demands—without creating institutional liability.
Who it's for
CIOs, General Counsel, Chief Compliance Officers, and Boards requiring defensible AI oversight in HIPAA, CMS, and state-regulated environments.
Top outcomes
- Board-ready AI risk register and governance charter
- Model risk and audit trail framework
- Regulatory compliance mapping — HIPAA, CMS, state frameworks
Problems it solves
No board-level AI risk frameworkShadow AI creating unquantified regulatory and liability exposureCompliance and legal teams unable to evaluate AI risk independentlyUngoverned model decisions in clinical and financial workflows
Engagement formats
- Fixed-fee 3–5 week assessment and governance design
- Add-on: operating model, policy templates, and ongoing advisory
- Board-ready AI risk register and governance charter
- Model risk and audit trail framework
- Regulatory compliance mapping — HIPAA, CMS, state frameworks
- Shadow AI discovery and controlled remediation roadmap
- Regulatory and fiduciary exposure mapping
- Stakeholder interviews and artifact review
- Risk register and gap analysis
- Governance framework design
- Board and leadership readout
- Audit readiness posture score
- Time to first defensible governance framework
- Reduction in ungoverned model deployments
- Regulatory review cycle time
- Payer AI governance design for CMS audit readiness
- Model risk signoff process for clinical AI programs
- Shadow AI discovery and controlled wind-down
- No board-level AI risk framework
- Shadow AI creating unquantified regulatory and liability exposure
- Compliance and legal teams unable to evaluate AI risk independently
- Ungoverned model decisions in clinical and financial workflows
Outcomes
- Board-ready AI risk register and governance charter
- Model risk and audit trail framework
- Regulatory compliance mapping — HIPAA, CMS, state frameworks
- Shadow AI discovery and controlled remediation roadmap
Process
Step 1
Regulatory and fiduciary exposure mapping
Step 2
Stakeholder interviews and artifact review
Step 3
Risk register and gap analysis
Step 4
Governance framework design
Step 5
Board and leadership readout
Success metrics
Audit readiness posture score
Time to first defensible governance framework
Reduction in ungoverned model deployments
Regulatory review cycle time
Example use cases
- Payer AI governance design for CMS audit readiness
- Model risk signoff process for clinical AI programs
- Shadow AI discovery and controlled wind-down
Ready to architect your AI strategy with someone who has operated at every level of the stack?
Schedule a 15-minute strategy briefing or send a direct note — let's determine fit.