Strategy and Solutions
The client is an insurance organization managing high volumes of claims across multiple channels, with fragmented data sources and manual validation processes slowing claim resolution. Limited visibility across first notice of loss (FNOL), vehicle imagery, telematics, IoT data, and historical claims made it difficult to identify suspicious activity quickly. The organization needed a scalable claims platform that could automate validation, strengthen fraud detection, and accelerate legitimate settlements. To enable this transformation, the organization partnered with Zymr.
The organization relied on fragmented claims workflows, requiring adjusters to review information from multiple systems and data sources. This created delays in claim assessment and increased manual effort across the claims lifecycle.
Fraud detection was also challenging. Suspicious patterns across claim histories, vehicle images, telematics, and IoT data were difficult to identify consistently, increasing the risk of fraudulent payouts and unnecessary investigations.
Manual validation checks further slowed legitimate claims. The organization needed an intelligent platform capable of connecting claims data, automating validation, and prioritizing suspicious cases for investigation.
Zymr helped the organization modernize claims operations through an AI-powered platform that unified data, automated validation, and supported intelligent fraud detection.
Zymr engineered a scalable claims platform designed to streamline fraud detection and accelerate end-to-end claims processing.
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