Automating Document Processing with AWS IDP Accelerator and Amazon Quick Automate

The Challenge of Document Processing

Many industries, including mortgage lending, banking, insurance, healthcare, and the public sector, rely heavily on processing large volumes of documents. These documents, such as earnings statements, W-2s, and bank statements, require classification, data extraction, and validation. Manual handling of these documents leads to significant time and cost expenditures, with delays impacting overall operational efficiency.

AWS Solution for Automation

AWS proposes automating the entire document intake pipeline using two of its solutions: the AWS Generative AI Innovation Center (GAIIC) Intelligent Document Processing (IDP) Accelerator and Amazon Quick Automate. This integrated approach is designed to manage documents from arrival to validated data flow into downstream systems, aiming for full automation.

Application in Mortgage Lending

The article uses mortgage lending as a specific, quantified example to illustrate the benefits of this automation. The U.S. mortgage market processes millions of loans annually, with each loan taking an average of 44 days to close and costing over $11,000 to originate. Document processing constitutes a significant portion of this cost and time. Automating this process for a mid-size lender processing 50,000 loans annually could save thousands of hours per year.

Scalability Across Industries

While mortgage lending serves as the primary example, the underlying architecture of the AWS solution is scalable and adaptable to other document-intensive operations. The principles and technologies can be applied to various sectors facing similar challenges with high volumes of diverse document types and compliance requirements.