Case Study: Cenovus Energy achieves reduced manual effort and improved efficiencies with Adlib Software

A Adlib Software Case Study

Preview of the Cenovus Energy Case Study

Reduce Manual Effort. Improve Efficienncies

Cenovus Energy needed to ingest, classify and metadata‑tag millions of new electronic asset‑based documents into its corporate repositories. To address this scale and complexity, Cenovus engaged Adlib Software and its document classification and OCR processing solution to automate tagging, attribution and archiving.

Adlib Software implemented an automated pipeline that classified, attributed and archived high volumes of documents daily and made them searchable with OCR. As millions of documents were processed the system’s classification intelligence improved, surfacing valuable business insights, reducing manual effort and materially improving operational efficiency for Cenovus Energy.


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