Case Study: Swiss Life reduces compliance effort by up to 70% with ACTICO's Name Matching Customer and Machine Learning

Automatically compare customer data with sanctions and PEP lists, implement machine learning procedures, reduce compliance risks

Swiss Life needed to strengthen ongoing KYC and customer‑due‑diligence processes to reliably screen new and existing customers for sanctions, PEPs and other high‑risk profiles while handling large data volumes and reducing manual false‑positive workloads. To meet these regulatory and operational challenges, Swiss Life engaged ACTICO and deployed its Compliance Suite — notably the Name Matching Customer (NMC) application together with ACTICO Machine Learning.

ACTICO implemented automated, high‑performance name matching against official, commercial and internal watchlists with fuzzy matching, whitelists and audit‑proof documentation, and layered machine‑learning models to score and prioritize hits. The ACTICO solution let Swiss Life focus investigations on the most likely true positives, improve accuracy and efficiency, and cut clarification effort by up to 70% while keeping transparent, auditable decisioning.

Swiss Life