AI-Driven Document Classification and Digital Archiving

Problem

Large volumes of physical and unstructured documents required manual classification and archival processing. The process was slow and error-prone and increased operational and compliance risk.

Solution

A machine-learning based system digitizes incoming documents and classifies them from learned formats and structures. Recognized document types can be routed into the digital archive with structured metadata, reducing the amount of manual classification required in the process.

Technical flow

Technology and architecture components