Mitsubishi Tanabe Pharma built over 500 workflows on UiPath, freeing about 70,000 hours.
The company needed to lift operational efficiency as drug development grew more complex and manual work limited value-added output. Since 2019 it has run UiPath through a low-code, self-driving organisation model and a digital talent programme. The page reports over 500 workflows, about 70,000 hours freed, and new uses such as academic website monitoring and automated processing of research documents for regulatory submissions.
UiPath is an automation platform combining RPA, document AI and agents, used by pharma, medtech and healthcare providers for intake, finance and back-office work
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 UiPath on its own site — read the original case study on uipath.com ↗
Note: Japanese-language newsroom path; the page text was summarised in English.
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