Strategy and Solutions
The client is a digital insurtech focused on delivering faster and more efficient insurance claims experiences. Traditional claims processes involved manual validation, fragmented data, and multiple intervention points, increasing settlement time and operational costs. The business needed an intelligent claims platform capable of automating validation, detecting fraud, and streamlining the end-to-end claims journey. To enable this transformation, the client partnered with Zymr.
The client’s claims processing workflows relied heavily on manual validation and intervention, resulting in longer settlement cycles and higher claims handling costs. Verifying claim information across multiple sources required significant operational effort and slowed down the overall process.
Limited automation also created challenges in assessing visual evidence and validating claims accurately. Conventional workflows made it difficult to process images, vehicle data, telematics, and IoT-generated information within a unified claims environment.
Fraud detection was another key challenge, as identifying suspicious claims required additional reviews and manual investigation. The claims experience also lacked a fully digital first-notice-of-loss process, making it difficult to capture and process information efficiently at the point of incident.
The client needed an AI-powered claims automation platform that could improve validation accuracy, accelerate settlements, reduce manual intervention, and deliver a more seamless digital claims experience.
Zymr helped the insurtech transform claims operations through an intelligent automation platform combining AI, computer vision, telematics, IoT, and fraud detection. This streamlined claims processing, reduced operational effort, and accelerated settlement across the claims lifecycle.
Zymr engineered an AI-powered claims automation platform designed to streamline claims processing from first notice of loss through settlement.
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