How Ricoh built a scalable intelligent document processing solution on AWS

Context

This post is cowritten by Jeremy Jacobson and Rado Fulek from Ricoh. This post demonstrates how enterprises can overcome document processing scaling limits by combining generative AI, serverless architecture, and standardized frameworks. Ricoh engineered a repeatable, reusable framework using the AWS GenAI Intelligent Document Processing (IDP) Accelerator . This framework reduced customer onboarding time from weeks to days. It also increased processing capacity for new AI-intensive workflows that required complex document splitting. The capacity is projected to grow sevenfold to over 70,000 documents per month. Additionally, the solution decreased engineering hours per deployment by over 90%. Ricoh USA, Inc. is a global technology leader serving a diverse client base in over 200 countries. Within its healthcare practice, Ricoh serves major health insurance payers, managed care organizations, and healthcare providers—processing hundreds of thousands of critical documents each month, including insurance claims, grievances, appeals, and clinical records for their clients. They faced a challenge common to enterprises modernizing document-heavy workflows: reliance on custom manual…

For builders

This post demonstrates how enterprises can overcome document processing scaling limits by combining generative AI, serverless architecture, and standardized frameworks.