Finding the Ultimate Beneficial Owner in a Pile of KYC Documents with Document Intelligence

Neo4j’s walkthrough demonstrates how Document Intelligence can convert 20 KYC documents into a knowledge graph and support beneficial-ownership investigations without manually defining extraction rules. In a fictional loan-screening case involving Anchor Point Partners LLC, Cypher ownership traversals reveal that guarantor Dorian Voss has two indirect ownership paths to the applicant despite not appearing on its cap table, including through Vantage Point Estates and through a chain involving Meridian Holdings, Northgate Ventures, and Cobalt Trading. Further graph analysis identifies a circular ownership structure among Meridian, Northgate, and Cobalt, while the Louvain community-detection algorithm separates Voss’s personal holding chain from the reciprocal-ownership core and from unrelated businesses. The post outlines how to create or restore the graph in Neo4j AuraDB, use an Aura Graph Analytics session for analysis and visualization, and explicitly remove temporary analytics resources afterward because they are billed while active.

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