Pharma research company accelerates validation processes by 75% with Res_Q
A pharmaceutical research company faced significant validation challenges managing 8-10 software releases annually across multiple SaaS applications using inefficient "paper-paperless" processes involving printing, scanning, and manual file handling across dispersed locations. It implemented Res_Q, a cloud-based validation platform built on AWS infrastructure, to automate and unify validation workflows. The implementation eliminated validation debt, reduced total validation time by 30-40%, accelerated overall validation by 75%, and freed labor equivalent to one full-time employee. As the VP of QA and Digital Systems put it: "What used to take us weeks or months now takes us days or weeks... The system enforces controls, eliminating the long chain of corrections we needed to manage using paper-based processes."
Sware is a GxP validation platform whose entire commercial focus is life sciences — used specifically to validate AI/ML systems' explainable, traceable decisions for regulatory scrutiny.
This sits in the Scale & Govern stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to monitor, govern and keep validating an AI system once it is already live in production.
Published by Sware on its own site — read the original case study on sware.com ↗
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