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AI governance and privacy for financial institutions
AI governance for credit unions, banks, lenders, and fintech companies, built around fair lending, consumer protection, and examiner expectations.
The rules that shape AI in financial services
Equal Credit Opportunity Act and Regulation B
AI that influences credit decisions must support specific adverse action reasons and fair lending testing.
Gramm-Leach-Bliley Act
AI tools and vendors that receive customer or member information belong in your privacy and information security program.
Bank Secrecy Act
AI used in fraud and AML monitoring needs documentation, validation, and human review.
Colorado SB 26-189
Disclosure duties for automated decisions, including lending, take effect January 1, 2027.
State AI laws to watch
These states set rules for automated decisions in lending and other consequential decisions, or apply civil rights and privacy law to them. See every state on the AI Laws by State map.
AI training for your teams
Department training built around each team’s real work. See every department.
Services for financial services organizations
AI Governance Readiness Assessment
A gap analysis of your AI governance against the NIST AI RMF, with a prioritized plan for what to fix first.
AI Risk Review
An independent review of one AI tool, vendor, or use case before you adopt it or expand it.
AI Vendor Risk Management Program
An ongoing program to vet, approve, and monitor the AI vendors and AI features your organization relies on.
AI Assurance Test
Our most thorough test: an AI system run against 100 or more realistic scenarios, with a signed assurance letter.
AI Governance in 90 Days
A complete starting AI governance program in 90 days: policy, register, approval process, training, and a roadmap.
Fractional Chief AI or Privacy Officer
A named senior executive who owns your AI governance or privacy program and reports to your leadership.
Guides for financial services
AI Regulation Map for Credit Unions
The federal and state laws that apply when credit unions use AI in lending, fraud detection, member service, and marketing, and what each requires.
AI Use Policy Guide for Credit Unions
What a credit union’s AI use policy should cover, which uses to approve, restrict, or prohibit, how to train staff on it, and sample policy language.
AI Risk Register for Credit Unions
A sample register of common credit union AI uses, the data each one touches, its risk tier, the controls it needs, and who owns it.
AI Vendor Assessment Checklist for Credit Unions
The questions credit unions should ask AI vendors about member data, security, model fairness, and contract terms before signing.
AI Governance Blueprint for Credit Unions
Who owns AI decisions at a credit union, how new AI uses get approved, how the board oversees AI, and how to size the structure to your asset size.
AI Training Guide for Credit Unions
A ready-to-run AI training program for credit union staff and directors: modules, real scenarios, clear rules, and a knowledge check.
Talk through your AI and privacy questions
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