Inbound document digitization with AI-driven prioritization
Problem:
A business unit had to manually triage large volumes of incoming documents every day. Priority and relevance were difficult to identify quickly.
Solution:
We built a pipeline that classifies documents, extracts key fields (e.g. claim amount), marks urgency and assigns precise tags.
Outcome:
Teams find relevant cases faster, prioritize more consistently and significantly reduce search effort — without rigid template workflows.