Summary
This document is a technical report detailing the Rapid Fraud Intelligence (Rapid FI) system, which is designed to combat fraud, waste, and abuse (FWA) through a modular and scalable approach. It outlines the system's ability to integrate advanced AI and machine learning (AI/ML) models that flag suspicious behaviors and assign risk scores for prioritizing investigations. The document presents the challenges faced by traditional fraud detection methods and emphasizes the necessity for a proactive defense strategy. Rapid FI aims to transition agencies from reactive tactics to a more anticipatory framework that deters FWA before losses occur. Key features include rapid deployment, investigator-centric design, and a flexible architecture that accommodates various tools to suit unique use cases. The integration of expertise and technology is highlighted as crucial for effective fraud detection, alongside the importance of explainability in model outputs to support potential legal proceedings.
