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AI-Powered Claims Automation for a Digital InsurTech

About the Client

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.

Key Outcomes

70% Reduction in Claims Settlement Time
40% Improvement in Approval Accuracy

Business Challenges

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.

Business Impacts / Key Results Achieved

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.

  • 70% Reduction in Claims Settlement Time
  • 40% Improvement in Approval Accuracy
  • 80% of Claims Processed Without Manual Intervention
  • AI-Powered Fraud Detection and Risk Validation
  • Faster Claims Routing Based on Complexity and Risk

Strategy and Solutions

Zymr implemented an intelligent claims automation platform designed to improve the end-to-end claims lifecycle and reduce dependence on manual processing.

  • AI-Powered FNOL Automation
    Digitized first notice of loss intake to capture and structure claim information for faster processing.
  • Computer Vision Assessment
    Used AI-based image analysis to evaluate damage documentation and support faster claims validation.
  • IoT Data Validation
    Integrated IoT data to validate incident information and strengthen claims assessment accuracy.
  • Intelligent Fraud Detection
    Applied AI-driven analysis to identify suspicious patterns and potential fraud indicators earlier in the process.
  • Smart Claims Routing
    Automatically routed claims based on complexity, risk, and business rules to improve adjuster productivity.
  • Automated Claims Processing
    Reduced manual intervention by automating repetitive verification, assessment, and approval workflows.

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