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To improve third-party liability (TPL) accuracy and reduce friction in claims processing, a leading health insurer partnered with Launch to modernize its TPL data ingestion and curation process. The result: a cloud-native, AI-powered platform that reduced manual labor by 80% and incorrect decisions by 90%.
Our client—a major U.S. health insurer—was struggling with outdated systems and costly manual processes around Third-Party Liability (TPL) claims. They depended on third-party data feeds costing over $10 per record, but these feeds were error-prone and lacked consistency. Infrastructure limitations, service delays exceeding 15 days, and poor data visibility compounded the issue.
They saw the opportunity to apply AI and automation—but lacked the infrastructure, governance, and data readiness to move forward.
A major health insurer cut data errors by 90% and manual labor by 80%, transforming claims processing through cloud and AI innovation.
Launch brought deep healthcare experience, AI expertise, and a human-centered approach to redesign the client’s TPL record process:
With the new system in place, the client saw meaningful, measurable transformation across their TPL function:
With streamlined processes, reduced labor, and better data visibility, the client is poised for stronger relationships and smarter decisions—all while preparing for future AI-driven capabilities.
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