Case Study: a mid-sized health plan recovers $24M in claims revenue with Zymr's AI revenue analytics platform

a mid-sized health plan recovers $24M with Zymr

The customer, a mid-sized health plan, faced significant challenges in managing millions of claims across disconnected systems. This fragmentation and reliance on manual processes limited their visibility into revenue performance and made it difficult to identify financial leakage. To address this, they partnered with Zymr to implement an AI-driven revenue analytics platform.

Zymr engineered an intelligent, cloud-based analytics ecosystem that processed over 4.1 million claims records. Their solution included machine learning models for predictive insights and dashboards for operational performance. This enabled the health plan to identify approximately $24 million in revenue recovery opportunities and achieve 91% prediction accuracy across its claims analytics models, while also improving reporting speed by 35%.