BUSN30135 - Winter 2025
Preventing the Next Enron: Using Graph-Based RAG on Enterprise Data for Fraud Detection, Compliance, and Operational Efficiency
Student team: Danny Elfman, Santiago Etchepare, Michael Mott, Diego Sinay, Matias Zamorano
Abstract
We use GraphRAG to uncover hidden insights and relationships from otherwise siloed or disconnected pieces of information, understanding complex data traditional AI solutions often miss. This leads to more informed decision-making and faster, smarter business operations, saving hundreds of man-hours of work and freeing employees up to accomplish other tasks.