This Guidance provides best practices for building and deploying an intelligent document processing (IDP) architecture that scales with workload demands. The code provided automates the creation of machine learning (ML) resources which will reduce developer friction associated with the time-consuming and error-prone tasks of standing up a high-quality IDP environment. This will reduce the time it takes to deliver a proof-of-concept for IDP workflows and help ensure adherence to architectural best practices.
