Varsha Shah

This talk introduces a framework for AI-driven multi-document correlation designed to enhance enterprise financial compliance and fraud detection. Traditional systems often analyze financial documents independently, missing critical risks that only become apparent when data is connected across multiple systems. The proposed framework integrates graph-based entity correlation, probabilistic risk modeling, and cross-jurisdictional normalization to uncover these hidden relationships, transforming compliance from a reactive process into a proactive intelligence capability.