Case Study: a large global pharmaceutical company achieves 99.9% on-time case reporting with Botminds AI

Automated end-to-end pharmacovigilance process - managing multiple reporting templates, source and changing regulatory requirements​

Botminds AI worked with a large global pharmaceutical company in the USA that needed to improve pharmacovigilance and patient-safety reporting across many document sources and templates. The company was struggling with manual case processing, scarce subject matter expertise, rapidly changing regulatory requirements, and the need to integrate accurately with safety databases.

Botminds AI implemented an end-to-end PV process automation pipeline using intelligent crawlers for document intake, auto-classification, and AI-based semantic extraction, with configurable workflows and human-in-the-loop validation. The solution enabled 99.9% on-time case reporting, 100% accuracy with HITL review, 5x improved turnaround time, 8x efficiency, and 3x higher case volume, while reducing manual effort and handling new document types in just a few hours.