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Abstract
This paper explores the integration of Generative Artificial Intelligence (Gen AI) in enhancing document automation within Robotic Process Automation (RPA). By leveraging technologies such as natural language processing (NLP) and machine learning (ML), Gen AI improves the automation of document processing, increasing efficiency, accuracy, and reducing costs. We analyze case studies across various industries and address challenges such as data privacy, implementation complexity, and the need for continuous model updates. The paper also outlines future trends and advancements in Gen AI-driven document automation, offering insights for organizations aiming to optimize their operations.
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