Strategy and Solutions
The client is a global health insurer operating with legacy policy administration and claims processes. Fragmented data, manual underwriting, and limited automation slowed risk decisions and claims processing. The insurer needed a modern, scalable platform that could support AI-driven underwriting, automate claims validation, and strengthen governance. To enable this transformation, the organization partnered with Zymr.
The insurer relied on legacy policy and claims systems that made it difficult to access and analyze historical data efficiently. Underwriting decisions depended heavily on manual reviews, resulting in long turnaround times and inconsistent processing across cases.
Claims operations faced similar challenges. Manual validation and eligibility checks increased processing effort and limited the ability to automate straightforward, low-risk claims. The absence of a modular digital architecture also made it difficult to introduce new capabilities without disrupting existing operations.
Data governance and security were additional concerns. Sensitive policyholder and claims information required stronger access controls, encryption, and traceable audit mechanisms to support regulatory and operational requirements.
The insurer needed a modern platform that could combine AI-driven risk assessment with configurable business rules, automate claims checks, and provide secure, governed access to critical data.
Zymr modernized the insurer’s legacy policy and claims operations through a modular Azure-based platform. The solution improved underwriting speed, introduced greater automation into claims processing, and strengthened security and governance across the platform.
Zymr implemented a modular Azure platform designed to modernize risk and claims workflows while allowing the insurer to integrate AI and automation into its existing operating environment.
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