Strategy and Solutions
The client is a multi-state property and casualty (P&C) insurance carrier managing high-volume claims across multiple markets. Its automated claims workflows supported first notice of loss (FNOL), adjuster approvals, and payment triggers, but limited end-to-end test coverage created uncertainty around release quality. The insurer needed a scalable QA strategy to strengthen automation reliability, accelerate regression cycles, and reduce production defects. To address these challenges, the carrier partnered with Zymr.
The insurer relied on multiple automated workflows to process claims, from FNOL intake through adjuster approvals and settlement payments. However, limited end-to-end validation made it difficult to identify defects across complex workflow dependencies before production deployment.
Regression testing was heavily manual and time-consuming. Each release required extensive validation across claims scenarios, taking up to five days to complete and slowing delivery cycles.
The absence of comprehensive load testing also created concerns around system performance during periods of high claims volume. Defects that escaped into production increased operational risk and could delay claim processing and settlement.
The insurer needed a robust QA and automation framework that could continuously validate critical claims workflows, improve release confidence, and accelerate testing without compromising coverage.
Zymr implemented an end-to-end QA strategy that strengthened automated claims validation, accelerated regression testing, and improved overall application reliability.
Zymr designed and implemented a comprehensive QA automation framework aligned with the insurer's claims workflows and continuous delivery requirements.
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