Strategy and Solutions
The client is a North American digital InsurTech company specializing in property and casualty insurance. Rapid business growth led to a surge in claims volume, exposing the limitations of manual claims processing and rule-based fraud detection. Lengthy settlement cycles and inconsistent claim evaluations impacted customer satisfaction and operational efficiency. To modernize its claims operations and deliver faster, more accurate claim resolutions, the company partnered with Zymr.
The client relied heavily on manual claims intake, document verification, and adjuster reviews, resulting in slow processing times and inconsistent claim decisions. First Notice of Loss (FNOL) submissions lacked automation, creating delays from the very beginning of the claims lifecycle.
Fraud detection depended primarily on static business rules, making it difficult to identify sophisticated fraudulent claims while increasing false positives. This required additional manual investigations, driving up operational costs and extending settlement timelines.
The existing platform also lacked seamless integration with IoT devices, images, and external data sources needed for real-time claim validation. As claim volumes continued to grow, the insurer required an intelligent, AI-driven platform capable of automating claims processing, improving fraud detection, and delivering a superior customer experience.
Zymr developed an AI-powered claims automation platform that streamlined the entire claims lifecycle, from FNOL through settlement. The solution significantly improved operational efficiency, fraud detection, and customer satisfaction while reducing manual intervention.
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