Enhancing Underwriting Accuracy in Auto and ...

Enhancing Underwriting Accuracy in Auto and Property Insurance: Leveraging Automated API and XML Testing Frameworks.

Author Name : Kunal Parekh, Dr. Neeraj Saxena

ABSTRACT In today’s competitive insurance landscape, underwriting accuracy is paramount for sustaining profitability and managing risk in both auto and property sectors. This study explores the integration of automated API and XML testing frameworks to enhance underwriting precision. Traditional underwriting processes often rely on manual data assessments, which can lead to errors and inefficiencies, ultimately affecting premium pricing and risk selection. By leveraging automated APIs, insurers can streamline the retrieval and processing of vast datasets from multiple sources, ensuring real-time data validation and integration. XML testing frameworks further complement this process by providing a standardized method for testing and validating structured data exchanges between disparate systems. The fusion of these technologies not only reduces the potential for human error but also accelerates decision-making processes. Our research investigates the development, implementation, and testing phases of such automated frameworks, detailing how they enable more reliable data inputs and risk evaluations.