Phlexglobal customers cut TMF document processing time and reached 95% classification accuracy with AI-assisted indexing.

Manual TMF document processing and quality control was slow and labor-intensive while regulators increasingly scrutinized TMF completeness. Customers deployed PhlexTMF with AI-assisted indexing powered by PhlexNeuron, a machine learning framework trained on millions of TMF documents. The page reports a 16% average reduction in document processing time, 95% classification accuracy and more than one million real-world TMF documents processed.

Phlexglobal is a trial master file specialist whose PhlexTMF eTMF uses pre-trained AI to classify documents, used by pharma sponsors to keep TMFs inspection-ready

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.