Generative Artificial Intelligence Systems and Methods for Processing Insurance Underwriting Data

A generative artificial intelligence (AI) system for insurance underwriting, comprising:

• a processor in communication with a plurality of data sources;
• an extraction engine executed by the processor, the extraction engine obtaining insurance underwriting submission data in disparate formats and generating a submission object from the insurance underwriting submission data, the submission object comprising a unified data structure for processing the disparate formats of the insurance underwriting submission data;
• a confidence scoring module executed by the processor, the confidence scoring module processing output of the extraction engine and generating an initial confidence score based on data extracted by the extraction engine;
• a prefill engine executed by the processor, the prefill engine automatically pre-filling the insurance underwriting submission data with insurance analytics data;
• a validation engine executed by the processor, the validation engine validating the insurance underwriting submission data and identifying discrepancies between the insurance underwriting submission data and the insurance analytics data;
• a completeness scoring engine executed by the processor, the completeness scoring engine calculating a similarity score between structured data and the insurance analytics data;
• an accuracy scoring engine executed by the processor, the accuracy scoring engine calculating a final score indicating an overall accuracy of the insurance underwriting submission data;
• and
• an underwriter assistant software application executed by the processor, the underwriter assistant software application allowing access to the insurance underwriting submission data, the similarity score, and the final score, the underwriting assistant software application generating a generative artificial intelligence chat panel, the generative artificial intelligence chat panel in communication with a plurality of large language models (LLMs) and allowing a user of the underwriter assistant software application to engage in a chat for guiding analysis of the insurance underwriting submission data.