Case Study: a Fortune 500 bank achieves 10x faster archive search with Unframe AI document processing

Fortune 500 Bank boosts archive search speed 10x with Unframe

A major Fortune 500 bank faced significant challenges with its legacy paper archives, which were stored across thousands of physically cataloged boxes, making records difficult to locate, validate, or delete for compliance. Scanned PDFs lacked usable metadata, and retrieval was inefficient and risky. Unframe deployed an on-prem, AI-native Intelligent Document Processing platform to digitize and structure these archives.

The Unframe solution performed OCR, extracted key metadata, and integrated with the bank's existing data platforms to create a searchable, compliant repository. This resulted in a 10x improvement in search speed, 98% accuracy in metadata extraction, and a 40% reduction in record storage and retrieval costs for the bank.