Case Study: a large multi-national bank reduces false positives and boosts suspicious activity detection with C3 AI Anti-Money Laundering

Multi-National Bank reduces false-positive AML alerts by 85% with C3.ai

A large multi-national bank faced significant challenges with the efficiency of its anti-money laundering (AML) compliance programs. Its investigators were overwhelmed by a high volume of false-positive alerts from disparate data systems, which hampered productivity and made it difficult to identify true money laundering risks. The bank partnered with C3.ai and implemented the C3 AI Anti-Money Laundering application to address these issues.

C3.ai implemented a solution that leveraged sophisticated machine learning algorithms and natural language processing on an enriched dataset. This resulted in an 85% reduction in false-positive alerts and a 200% increase in correctly identified suspicious activity cases. The C3.ai application provided the bank's investigators with interpretable results and streamlined their workflow, dramatically improving investigation efficiency and effectiveness.