The client is a North American digital insurtech operating in a highly competitive claims environment. Manual claims intake, document verification, and adjuster reviews created processing delays, inconsistent assessments, and limited operational visibility. The company needed an intelligent claims platform that could automate repetitive workflows, improve decision accuracy, and accelerate settlements. To enable this transformation, the company partnered with Zymr.
The insurtech relied heavily on manual claims intake and document processing, requiring adjusters to review large volumes of information before making decisions. This created bottlenecks and increased the risk of inconsistent assessments.
Claims teams also faced challenges validating damage information from submitted images and IoT data. Without automated validation, identifying inconsistencies and potential fraud required significant manual effort.
The existing process made it difficult to route claims intelligently based on complexity, risk, and claim type. High-volume claims competed for the same adjuster resources, increasing turnaround times and negatively impacting customer experience.
The company needed an AI-powered claims automation platform that could streamline FNOL, validate supporting data, detect suspicious claims, and intelligently route cases while minimizing manual intervention.
Zymr helped the insurtech modernize its claims operations with an AI-powered platform spanning intake, validation, fraud detection, and intelligent routing. This improved processing speed, decision accuracy, and operational efficiency.
Zymr implemented an intelligent claims automation platform designed to improve the end-to-end claims lifecycle and reduce dependence on manual processing.