Case Study: Large Regional U.S. Bank achieves improved customer risk profiling and fewer false positives with Precisely Spectrum Entity Resolution

Large Regional U.S. Bank Improves Customer Profiling to Fight Financial Crimes

Large Regional U.S. Bank faced regulatory scrutiny for gaps in KYC and AML monitoring because its systems took an account‑centric view of risk, generating overwhelming volumes of low‑value alerts. To build a consolidated, customer‑centric profile across multiple accounts and name variants, the bank selected Precisely and deployed Spectrum Entity Resolution to support its watch‑list screening and transaction monitoring.

Precisely’s Spectrum Entity Resolution pulls customer data from CRM and other systems, reconciles name variants and relationships (including beneficial ownership), and feeds an enriched, holistic customer view into screening and monitoring tools. The bank says this has improved its ability to isolate truly high‑risk customers, enables alerts based on customer risk rather than individual accounts, addresses the industry issue of 95–98% false positives, and is projected to reduce compliance costs while increasing confidence in reporting.