Case Study: Financial Services achieves faster anomaly detection and 15% higher AML accuracy with Explorium

Accurate and Fast Anomaly Detection for Anti-Money Laundering

Financial Services, a company that monitors millions of transactions, faced mounting anti‑money laundering (AML) pressure and found its rules‑based detection increasingly ineffective against evolving laundering tactics. To meet strict international data‑privacy rules while improving detection, they partnered with Explorium and leveraged the Explorium Enrichment Catalog to find compliant, high‑value external signals.

Explorium connected Financial Services to diverse contextual data—origin and demographic data, crime statistics, lending and financial stability indicators—to build new features for anomaly detection without exposing PII. The enhanced model delivered faster, more precise alerts, cutting investigation time and boosting money‑laundering detection accuracy by 15% to 89% overall, lowering compliance costs and enabling quicker customer service.