THE INTEGRATION OF GENERATIVE AI IN RPA FOR ENHANCED INSURANCE CLAIMS PROCESSING
This research explores the integration of generative AI with Robotic Process Automation (RPA) to optimize insurance claims processing. By autonomously generating and processing complex claims, generative models streamline the handling of intricate scenarios [1]. The use of synthetic data for training RPA systems allows for greater accuracy in managing rare or nuanced claims, improving scalability and operational efficiency [2]. The study demonstrates how combining generative AI with RPA can significantly increase efficiency, accuracy, and scalability, optimizing insurance operations while reducing operational costs.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-12-04
- DOI
- https://doi.org/10.5281/zenodo.14274779
- Primary Topic
- Robotic Process Automation Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00