Finance & Investment

Causal Intelligence for Financial Decisions

The Problem

Black box models are a regulatory time bomb

Financial regulators worldwide are cracking down on unexplainable AI. From credit decisions to investment recommendations, "the algorithm said so" is no longer an acceptable answer.

Regulatory Scrutiny
OCC, Fed, and SEC increasingly demand model explainability. Exam failures are costly.
Fair Lending Compliance
ECOA and fair lending laws require demonstrable non-discrimination in credit decisions.
Model Risk Management
SR 11-7 requires documented validation. Black boxes fail validation by definition.
Customer Disputes
Adverse action notices require specific reasons. "AI decision" invites lawsuits.
The Solution

Every financial decision with a complete audit trail

Aequitas provides the causal transparency financial regulators demand, without sacrificing model performance.

Contradiction Screening & Verification™
Maps every prediction to specific causal factors. Know exactly why a credit score changed.
Formal Logical Analysis™
Validates that model logic aligns with economic theory and regulatory expectations.
Independent Audit Layer™
Three independent auditors stress-test every output for bias and logical consistency.

See It In Action

Interactive "what-if" stress testing sandbox where users can manipulate market conditions and watch causal effects cascade through a financial system in real-time.

Initializing analysis engine...

Calibrating causal graph renderer

TRY IT: Drag sliders to apply market shocks

Real-World Applications

UseCases

See how organizations transform their operations with transparent AI governance

01

Credit Underwriting

Explainable credit decisions that satisfy fair lending requirements.

BeforeWeeks of manual review to explain model outputs to examiners
AfterInstant, regulator-ready explanations for every decision
02

Investment Analysis

Causal factor attribution for portfolio recommendations.

BeforeCorrelation-based insights that break down during market stress
AfterCausal relationships that hold across market regimes
03

Risk Model Validation

Automated SR 11-7 compliant model documentation.

BeforeMonths of manual model documentation and validation
AfterContinuous validation with real-time documentation

Ready to transform finance governance?

See how Aequitas can bring transparency to your finance AI decisions.

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