Resources / Industries / Financial Services
AI governance resources for Financial Services
Lenders and financial firms use AI in credit, fraud, and member service, all areas covered by long-standing consumer protection laws.
Business types we cover
- Asset Management Firms
- Commercial Banks
- Commodity Brokers
- Credit Unions and Lenders
- Crowdfunding Platforms
- Debt Collection Agencies
- Family Offices
- Fintech Companies
- Foreign Exchange Brokers
- Hedge Funds
- Investment Banking
- MGA & BGA Organizations
- Microfinance Institutions
- Mortgage Companies
- Mutual Fund Companies
- Payment Processing Companies
- Payroll Processing Firms
- Private Equity Companies
- Real Estate Investment Trusts
- Retail Insurance Agencies
- Retirement Plan Administrators
- Specialty Finance Companies
- Trust Companies
- Venture Capital Firms
- Wealth Management & Advisors
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.
AI Impact Assessment Example for Credit Unions
A worked example assessing an automated personal loan decision model, from purpose and data to risks, controls, and approval.
AI Incident Response Playbook for Credit Unions
What a credit union should do, hour by hour, when an AI tool exposes member data, makes wrong decisions, or misleads members.
AI Board Oversight Guide for Credit Unions
The questions credit union directors should ask about AI, what to review and approve, and the warning signs to watch for.
Privacy Program Guide for Credit Unions
The privacy laws, notices, data map, and member rights a credit union privacy program needs to cover, including AI tools.
AI Contract Clause Library for Credit Unions
Sample contract terms for AI vendors serving credit unions, covering member data, model changes, audits, and incidents.
State AI Law Tracker for Credit Unions
The state AI and privacy laws most likely to affect credit unions, what each one requires, their status, and when each takes effect.
AI Use Case Catalog for Credit Unions
Where AI helps credit unions most, rated by value and risk, with the data each use touches and the controls it needs before launch.
Data Protection Assessment Template for Credit Unions
A filled-in example assessment of an AI member service chatbot, covering data flows, risks, and safeguards, ready to adapt for your own systems.
AI Tabletop Exercise Scenario for Credit Unions
A ready-to-run scenario where a member service chatbot exposes account details, with timed developments and questions for each phase of the response.
AI Regulation Map for Commercial Banks
The federal and state rules that govern AI at commercial banks, from fair lending and model risk to third-party oversight, and what examiners expect.
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