This article highlights the importance of modernizing antiquated manual document handling processes in various industries, particularly in the financial sector. It explores the challenges of manual data extraction, including errors, time-consuming processes, and high costs. The authors propose the use of intelligent document processing (IDP) on AWS, which enables companies to optimize their document workflows, save time and money, and improve accuracy. The article explains how generative AI can be used to extract insights from business emails and attachments, automate financial workflow processes, and summarize documents, extract data, and categorize information from email attachments. The solution involves two steps: data extraction from email attachments and classification using IDP, and data summarization using large language models (LLMs). The authors also provide a high-level overview of the pipeline steps, including data capture, enrichment, and human-in-the-loop review. The solution offers key benefits, including elasticity, innovation, and cost savings.

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