AI Governance & Regulatory Technology

AI Fraud Detection Without Auditability

Designed a compliance-grade AI governance platform with explainability, auditability, and forensic evidence controls.

Business Problem & Context

AI models produced accurate fraud classifications but failed regulatory and audit reviews due to missing explanations, incomplete evidence trails, and weak decision traceability.

Architecture & Strategy

To solve the challenges, a robust and scalable architecture was required. We prioritized decoupling services and introducing event-driven patterns.

Explainable AI Layer

Decision Trace Repository

Immutable Audit Ledger

Policy Governance Engine

Human Approval Workflow

Model Monitoring Platform

Forensic Replay Engine

Event-Driven Architecture Stack

Measurable Outcomes

Audit Readiness Score

AI Explainability Coverage

Compliance Exception Rate

Decision Reconstruction Accuracy

Regulatory Review Success

Model Drift Detection Time

Investigator Productivity

Core Tech Stack