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Finance & Fintech AI

Avoid Fair Lending Violations: AI Compliance for Fintech & Banks

FCRA, ECOA, and CFPB compliance for AI credit scoring, lending, and financial services. Explainable AI, fair lending testing, model risk management.

Free Fair Lending Assessment

4 Critical Fintech AI Compliance Risks

Fair Lending Violations from AI Credit Scoring

$10M+ penalties + remediation

Problem: AI credit models showing disparate impact on protected classes (race, gender, age). CFPB enforcement actions average $10M+ in penalties and remediation.

HAIEC Solution: HAIEC provides ECOA/Regulation B compliance testing, disparate impact analysis, and adverse action documentation for AI lending models.

FCRA Compliance for AI-Driven Decisions

Up to $5,000 per violation

Problem: AI credit decisions require adverse action notices with specific reasons. Generic AI explanations violate FCRA Section 615. FTC fines up to $5,000 per violation.

HAIEC Solution: Automated adverse action notice generation with FCRA-compliant reason codes. Model explainability testing and documentation.

Model Risk Management Requirements

Regulatory enforcement actions

Problem: OCC SR 11-7 requires model validation, ongoing monitoring, and governance for AI credit models. Exam failures lead to MRIAs and consent orders.

HAIEC Solution: Model risk management framework: validation documentation, performance monitoring, governance policies, and audit trails.

Explainability for Loan Denials

Class action lawsuits

Problem: Black-box AI models cannot provide specific reasons for credit denials. Violates ECOA, FCRA, and state disclosure laws.

HAIEC Solution: Explainable AI (XAI) tools: SHAP values, LIME, counterfactual explanations. Generate human-readable adverse action reasons.

Fintech AI Compliance FAQ

What AI regulations apply to fintech and lending?

ECOA (Equal Credit Opportunity Act), FCRA (Fair Credit Reporting Act), GLBA (Gramm-Leach-Bliley Act), state lending laws, CFPB guidance on AI/ML, OCC SR 11-7 (model risk management), and upcoming state AI lending laws (California, New York).

How do I prove my AI credit model is fair?

Conduct disparate impact testing (80% rule), validate against protected classes, document model development and validation, perform ongoing monitoring, and maintain audit trails. HAIEC automates fairness testing and generates compliance documentation.

What are adverse action notice requirements for AI?

FCRA requires specific reasons for credit denials within 30 days. AI models must provide: (1) Principal reasons for denial, (2) Specific factors used, (3) FCRA disclosure statement, (4) Credit score if used. Generic "AI decision" is non-compliant.

Do small fintech startups need model risk management?

Yes, if you use AI for credit decisions. While OCC SR 11-7 applies to banks, CFPB expects all lenders to have model governance. Investors and enterprise customers also require MRM. HAIEC provides startup-friendly MRM framework at $490/month vs $50K+ consultants.

How much do fair lending violations cost?

CFPB enforcement: $10M-$100M+ (e.g., Upstart $4M, LendingClub $18M). Class action lawsuits: $50M-$500M. Reputational damage: Loss of banking partnerships, investor confidence, and customer trust. Prevention costs 1/100th of remediation.

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