Case Study: Global Energy Enterprise achieves classification and automated archival of millions of critical documents with Adlib Software

Energy company classifies millions of critical documents

Global Energy Enterprise faced the challenge of ingesting and managing millions of asset-based documents that were growing rapidly (doubling every 18 months). The company needed accurate document-type classification, metadata attribution, de-duplication and archiving into corporate repositories (Documentum), and engaged Adlib Software and its Content Intelligence platform to solve it.

Adlib Software implemented a robust classification solution—powered by Adlib’s Content Intelligence platform and a business rules engine—providing OCR, automated classification, attribution, de-duplication and archival into Documentum. The solution now processes millions of documents, makes content searchable, supports migration plans, and continually improves its intelligence to reduce manual work by document controllers and increase operational efficiency.