Our automation program for a DAX 30 Life Sciences company delivered annual cost savings of €1m.
By automating processes across different business units and legal entities for one of the world’s largest Life Sciences companies,
we delivered year one ROI of 645%.
Our automations for a global Biotechnology leader have freed employees from over 20 thousand hours of repetitive, robotic work each year.
In a sector with a zero-tolerance for error, Intelligent Automation provides a perfect opportunity to flawlessly process data and eradicate failure.
And, with politics scrutinizing prices and generics pressuring margins, AI-powered automation enables Life Science companies to eliminate cost while pushing the boundaries of value-creating innovation.
Elevating scientific purpose. Accelerating scientific results.
Pushing the boundaries of scientific knowledge demands both human ingenuity and scientific rigors. Intelligent Process Automation can multiply the impact of both. Automating tedious tasks liberates scientists from regulatory compliance, enabling them to focus scientific exploration.
A robotic force multiplier
Clinical trial processes are ripe for automation, from recruiting participants, to monitoring, to data management and analysis. Automation cuts through complexity to improve the efficiency and speed of the research lifecycle, enabling faster approvals and ultimately accelerating speed to market.
Creating these cutting-edge collaborations between scientist and machine with intelligent automation has the power to catapult productivity, creating the next generation of business models and essential discoveries.
The pandemic forced a giant leap in innovation around clinical trials, demonstrating how intelligent automation technologies such as RPA, AI and natural language processing could be used to expedite trial processes and speed up time to market.
As a highly regulated industry, life sciences organisations must process and store large volumes of documentation to remain compliant. Intelligent Document Processing and Optical Character Recognition enables structured and unstructured data to be extracted and processed from regulatory documents for easy retrieval and analysis.
Large pharma companies receive hundreds of thousands of Adverse Event Reports every year. Process these reports automatically with RPA to reduce the administrative burden, scaling down costs while enabling increased focus on areas of concern.
Automating repetitive tasks in finance, procurement, HR and other back-office teams can make a significant difference to the overall efficiency and reduce the amount of time research professionals need to spend on administration.
Regulatory reporting requires standard data to be gathered and collated, and to follow fixed review and submission processes. These can all easily be automated to reduce the administrative burden while maintaining compliance.