The client is a large health insurer relying on manual underwriting reviews and rigid legacy rules. These processes slowed risk assessment and extended underwriting decisions to ten days. The insurer needed a modern, automated solution to streamline underwriting while maintaining appropriate human oversight. To enable this transformation, the organization partnered with Zymr.
The insurer relied heavily on manual underwriting reviews, making risk assessment time-consuming and dependent on repetitive human effort. Legacy rules lacked the flexibility needed to support evolving underwriting criteria and more efficient decision-making.
The existing process required underwriters to review risk information manually, creating delays in reaching final decisions. This extended underwriting turnaround to as much as ten days and limited operational efficiency.
Historical data was not seamlessly integrated into the underwriting process, making it more difficult to incorporate relevant information into risk evaluation. The insurer also needed a way to manage exceptions without requiring manual intervention for every underwriting case.
The organization needed an AI-powered underwriting platform that could automate repetitive decision-making, improve risk assessment, and maintain human oversight for complex or exceptional cases.
Zymr helped the insurer modernize its underwriting process with an Azure-based automation platform designed to improve risk evaluation and accelerate decision-making. The solution streamlined underwriting operations while preserving human review where required.
Zymr engineered an Azure-based underwriting automation platform designed to streamline risk evaluation and improve end-to-end underwriting efficiency.