A global CRO automated eTMF document classification with Hexaware's Tensai, reaching 90% better accuracy.

Manual eTMF processing took 15-25 minutes per document, causing backlogs, errors and missed safety reporting timelines. Hexaware's Tensai platform added cognitive OCR, machine learning classification into 4,000+ categories, metadata extraction with confidence scores and quality monitoring across 143 document classes. The page reports 90% better document accuracy, 3,000 documents in 69 minutes and up to 80% time saved per quality check.

Hexaware is an IT services firm whose Tensai automation platform is used by CROs and pharma to classify and quality-check eTMF documents

This sits in the Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.