The Role of Generative AI in Insurance Data Processing

The application of Generative Artificial Intelligence (AI) in insurance data processing has attracted a lot of attention given its potential to transform numerous areas of the business. Although AI-based technologies have been employed to improve operational efficiency, risk management, customer service, and fraud detection, there is a significant research gap in understanding the application of Generative AI in the insurance data processing industry. The aim of this study is to investigate the role of Generative AI in redefining important processes such as claims processing, underwriting, risk assessment, customer personalization, and document automation in the insurance industry. By overcoming the limitations with traditional models that are dependent on structured data, this study examines how Generative AI can assist in the processing of unstructured data, enhance predictive analytics, and ease decision-making processes. Additionally, the study seeks to assess the challenges that insurers encounter in embracing generative AI, including data privacy, model interpretability, and the integration of AI into current workflows.