ZS built a machine learning anomaly detection engine that flagged over $25 million in potential co-pay card fraud.

A specialty therapy co-pay programme had suspected fraud hidden among very large transaction volumes. ZS built a proprietary ML system through assessment, proof of concept and operationalisation with semi-supervised learning and continuous monitoring. The page reports 20+ pharmacies blocked, $25M+ in fraud flagged, 50+ on a watchlist and 70+ pharmacies linked to misuse.

ZS Associates is a consulting and technology firm for life sciences, used by pharma for commercial analytics, AI sales applications, KOL intelligence and fraud detection

This sits in the Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.