No advanced-technology exception. Your AI must explain itself.

"Provide specific, accurate principal reasons for every adverse action, even when the decision was made by an AI model."

ECOA § 1691(d); Reg B § 1002.9; CFPB Circular 2022-03 Adverse action notices must state the specific, principal reasons for denial or unfavorable terms. Generic checklists or boilerplate explanations do not satisfy this requirement. The CFPB has stated clearly that the complexity of a model is not a valid excuse for vague or inaccurate reasons.

→ Nexovern captures decision-level audit trails that record what data influenced each AI-driven credit decision, enabling your compliance team to reconstruct the specific factors behind every adverse action.

"Eliminate proxy discrimination from your models, regardless of whether protected characteristics are used directly."

ECOA § 1691(a); April 2026 Final Rule amending Reg B The April 2026 Final Rule eliminates disparate impact liability under ECOA but maintains the prohibition on disparate treatment and proxy discrimination. Proxy discrimination is direction-agnostic: using input variables that serve as stand-ins for prohibited factors violates the law regardless of intent.

→ Nexovern's runtime monitoring detects behavioral drift that could introduce proxy discrimination, alerting teams when model outputs begin correlating with protected characteristics.

"Understand how your algorithms work and validate the explainability methods you rely on."

CFPB Circular 2022-03; April 2023 Joint Statement (CFPB, DOJ, FTC, EEOC) Creditors must understand how their models produce decisions. If you use explainability tools such as SHAP or LIME, the methods themselves must be validated for accuracy. The joint statement from four federal agencies in April 2023 reinforced that there is no "AI exemption" from existing consumer protection obligations.

→ Nexovern's correlated app and OS evidence reconstructs the full reasoning chain for each decision, giving compliance teams a verifiable record that does not depend solely on post-hoc approximation methods.

"Conduct ongoing fair lending testing and document all model changes."

CFPB Supervisory Guidance; Winter 2025 Supervisory Highlights CFPB examiners found that auto lenders deployed models with 1,000+ input variables without conducting proper fair lending assessments. Credit card issuers were cited for models contributing to disparate outcomes for Black/African American and Hispanic applicants. Continuous monitoring, shadow testing, and comprehensive documentation of model updates are expected.

→ Nexovern maintains continuous, immutable logs of every model interaction, enabling your team to identify drift, run shadow comparisons, and produce examination-ready documentation at any point.

"Maintain immutable audit logs that examiners can review during supervisory examinations."

ECOA record retention requirements; CFPB examination procedures Creditors must retain records of applications, adverse action notices, and the basis for credit decisions for at least 25 months (12 months for business credit). For AI-driven decisions, examiners expect records that demonstrate how the model reached each outcome, not just the final result.

→ Nexovern's continuous logging maintains the immutable, tamper-evident records that regulators and examiners expect, with evidence exports structured for examination workflows.