Advisory Services
Rigorous AI compliance counsel for regulated financial institutions
We help banks, asset managers, and financial services firms build the governance infrastructure to deploy AI responsibly — and to demonstrate that responsibility to regulators.
What we do
Three practice areas. One integrated approach.
AI compliance in financial services is not a single problem. It spans model risk management, regulatory alignment, and the operational controls that sit between them. Our practice is organized around these three dimensions — and we work across all three, because the gaps between them are where institutions get into trouble.
01
AI Model Governance
Build the governance infrastructure regulators expect
SR 11-7 established the foundational framework for model risk management, but it was written before large language models, generative AI, and third-party AI APIs existed. We help institutions extend their MRM programs to cover the full spectrum of AI systems in use today — from traditional statistical models to foundation models and vendor-supplied AI tools.
Key deliverables
- AI model inventory design and implementation
- Model risk tiering and materiality assessment
- Validation framework development for generative AI
- Model documentation standards and templates
- Governance committee charter and escalation protocols
- SR 11-7 gap assessment and remediation roadmap
02
Regulatory Compliance & Readiness
Map your AI posture to what regulators actually expect
The regulatory landscape for AI in financial services is evolving rapidly and unevenly. The EU AI Act imposes extraterritorial obligations on U.S. institutions with European operations. The SEC has issued guidance on AI use in investment advice. The CFPB has signaled scrutiny of algorithmic decision-making in consumer credit. We help institutions understand what applies to them and what they need to demonstrate.
Key deliverables
- EU AI Act applicability assessment and compliance roadmap
- SEC AI guidance alignment review
- CFPB algorithmic fairness and adverse action analysis
- Regulatory examination preparation and mock reviews
- Compliance program design and policy drafting
- Cross-jurisdictional AI regulatory mapping
03
Operational Risk Management
Identify and control the risks AI introduces to your operations
AI systems introduce operational risks that traditional risk frameworks were not designed to capture: model drift, data quality degradation, third-party dependency, and the opacity of probabilistic outputs. We help institutions identify these risks, design controls, and integrate AI risk into their existing operational risk management programs.
Key deliverables
- AI operational risk assessment and heat mapping
- Third-party AI vendor due diligence framework
- Data governance and lineage controls for AI inputs
- Incident response and model failure protocols
- AI risk appetite statement development
- Integration with existing ORM and RCSA programs
How we engage
Structured engagements. Clear deliverables.
4–6 weeks
Assessment
A structured review of your current AI governance posture against applicable regulatory frameworks. Produces a gap analysis, risk prioritization, and a remediation roadmap with sequenced recommendations.
3–6 months
Program build
End-to-end design and implementation of an AI governance or model risk management program. Includes policy development, process design, tooling recommendations, and staff enablement.
Retainer
Ongoing advisory
Continuous access to our advisors for regulatory developments, examination preparation, and governance questions as they arise. Structured as a monthly retainer with defined response commitments.
As needed
Examination support
Targeted support for regulatory examinations, including pre-examination readiness reviews, document preparation, and examiner response support.
Who we serve
Built for regulated financial institutions
Regional & community banks
SR 11-7 compliance, model inventory, examination readiness
Asset managers
SEC AI guidance, investment model governance, third-party AI risk
Insurance carriers
Actuarial model governance, algorithmic underwriting controls
Broker-dealers
FINRA AI guidance, suitability model risk, surveillance AI
FinTech lenders
CFPB algorithmic fairness, adverse action explainability, UDAP risk
Credit unions
NCUA model risk guidance, proportionate governance frameworks
Ready to discuss your AI compliance posture?
We offer a complimentary 30-minute scoping conversation for prospective clients. No obligation — just a direct conversation about where your institution stands and what it needs.
Get started
- Complimentary 30-minute scoping call
- No retainer required for initial engagement
- Proposal delivered within five business days
- Senior advisor involvement from day one