Strategy and Solutions
The client is a digital insurance provider managing rapidly increasing claim volumes across multiple insurance lines. Rising claims, inconsistent assessments, and rule-based fraud detection were slowing settlements and increasing exposure to fraudulent activity. The insurer needed a smarter claims platform to improve decision-making, accelerate processing, and strengthen fraud prevention. To support this transformation, the insurer partnered with Zymr.
The insurer faced growing claim volumes that placed pressure on adjusters and claims operations. Manual assessments and fragmented workflows resulted in inconsistent claim decisions, longer processing times, and increased operational effort.
Existing fraud detection relied heavily on predefined rules, making it difficult to identify evolving fraud patterns and coordinated behaviors. High-risk claims often required additional manual review, delaying legitimate settlements.
The lack of advanced analytics also limited the insurer’s ability to evaluate claimant behavior, visual evidence, telematics data, and historical risk indicators together. As a result, opportunities to detect suspicious claims earlier and automate low-risk claims were missed.
The insurer needed an AI-driven claims intelligence platform that could improve fraud detection, accelerate settlement decisions, and enable greater automation across the claims lifecycle.
Zymr helped the insurer transform claims operations with an AI-powered platform combining predictive analytics, computer vision, telematics, and risk scoring. This improved fraud intelligence, streamlined assessments, and increased straight-through processing.
Zymr implemented an intelligent claims platform designed to improve risk assessment, fraud detection, and end-to-end claims automation.
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