Strategy and Solutions

Zymr developed a fully automated claims processing platform, embedding AI models to validate claims and detect fraud patterns. Using computer vision, the system analyzed accident images to assess damages and automatically trigger next steps. We integrated telematics systems and IoT data sources, enabling instant FNOL (First Notice of Loss) and real-time incident reporting. A user-friendly claims portal was also launched for web and mobile, offering live claim tracking, document uploads, and chatbot-driven support to streamline the customer experience from start to finish.

About the Client

A fast-scaling insurtech firm based in North America, the client specializes in auto and home insurance. Their business model is centered around digital-first customer experiences, and they were looking to automate claims processing to reduce settlement times and increase accuracy.

Key Outcomes

Over 80% of claims were resolved without manual intervention.

First Notice of Loss notifications increased by 50% through IoT and telematics integration

Business Challenges

The company relied on manual, paper-based workflows for claims validation, which led to long processing cycles and high error rates. Customers frequently experienced delays and a lack of transparency during settlements. The system also had limited integration with IoT devices like car sensors and smart home alarms, which could have provided real-time incident data for more efficient claims assessment.

Business Impacts / Key Results Achieved

The automation significantly reduced claims processing times—cutting average settlement durations by 70%. Fraud detection accuracy improved, and overall approval accuracy increased by 40%. Customer satisfaction surged to 92%, while the operational burden on internal teams was reduced, leading to a 25% decrease in handling costs.