AI Governance
Responsible AI, model risk, and controls that hold up under regulation and scrutiny.
- Governance assessment
- Framework build engagement
- Ongoing assurance retainer
What we deliver.
Governance built for the reality of enterprise AI: policy, oversight, and controls proportional to your regulatory posture — designed so responsible AI accelerates delivery instead of blocking it.
What clients get.
Board-approved AI policy and operating model
Model risk framework aligned to SR 11-7 and NIST AI RMF
Auditable controls across every deployed AI system
Faster review cycles for new AI initiatives
How we work.
AI policy & operating model
Board-level policy, roles, and decision rights that make responsible AI operational, not aspirational.
Model risk & controls
Model inventory, tiering, and controls calibrated for finance, healthcare, and public sector.
Assurance & audit
Independent assurance of AI systems against internal policy and external regulation.
Regulatory readiness
Preparation for EU AI Act, NIST AI RMF, sectoral guidance, and internal audit.
A recent example.
A regional bank told by its regulator to produce an AI governance framework within 90 days.
There was no model inventory, no clear ownership, and no way to answer a supervisory letter with confidence.
- Built a full model inventory and tiered every deployed and planned AI system by risk
- Wrote board-approved AI policy and mapped controls to SR 11-7 and NIST AI RMF
- Stood up an independent review cadence so new initiatives could ship without stalling
Regulator sign-off in 11 weeks and AI review cycle time cut from 6 weeks to 8 days.
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