Case Study: Large Regional U.S. Bank achieves customer-centric AML detection and fewer false positives with Pitney Bowes Spectrum Entity Resolution

Large regional U.S. bank improves customer profiling to fight financial crimes

Large Regional U.S. Bank, a century‑old regional bank serving consumers and businesses in more than a dozen states, was under regulatory scrutiny for gaps in KYC and missed suspicious-activity reporting. The bank’s account‑centric AML/KYC approach generated overwhelming low‑value alerts and failed to consolidate customers who held multiple accounts or used name variants, so it selected Pitney Bowes’ Spectrum Entity Resolution (part of Pitney Bowes Financial Crimes and Compliance solutions) to address the problem.

Pitney Bowes deployed Spectrum Entity Resolution to pull and consolidate customer data across the bank’s CRM and account systems, resolve name variants and relationships, and feed a customer‑level risk profile into screening and transaction monitoring. The result: alerts are now customer‑centric and better isolate high‑risk customers, improving investigator efficiency and regulatory reporting. Pitney Bowes’ solution helps the bank reduce low‑value alerts and projected compliance costs while boosting confidence it is identifying and reporting financial crimes (addressing a landscape where 95–98% of transaction alerts can be false positives).