Neo4j is a graph database that enables money laundering detection by allowing for various types of queries to be viewed in different ways, including interactive dashboards with graphic visualizations and green, yellow, and red scoring of key performance indicators. The solution framework can ingest data from multiple sources, process billions of transactions per day, and detect suspicious activity in real-time and at scale. It also provides customizable plug-and-play components that allow AML staff to extend the base framework with money queries, custom graph data models, internal and third-party data sources and streams, ingestion APIs, and output APIs. By leveraging Neo4j's capabilities, compliance teams can better comply with AML requirements, reduce costs associated with fines and investigating false positives and false negatives, increase sales by improving brand-value reputation, meet the most stringent AML requirements for performance, availability, security, and agility at extreme scale, and get accurate predictions of suspicious activity.