Anti-money laundering (AML) teams are buried under fragmented tools, scattered data, and manual workflows. Adding more rules has not solved the problem. TBC Bank took a different path, consolidating intelligence on Databricks to create a unified, AI-powered investigation environment.This session shows the production use cases in action: a counterparty AML search engine across sanctions, internal, and external watchlists; an AI engine comparing invoices, contracts, and customs documents; a transaction purpose scanner detecting dual-use and restricted goods; and Genie for natural-language analytics. All built on a shared Lakehouse and delivered through one investigative workspace using Databricks Apps and Lakebase.The result is a fundamental shift in how AML works at TBC Bank: from reactive monitoring to contextual, AI-assisted investigation.
