Hey Celonis Community!
We have an incredible story that shows the transformative power of Process Intelligence in action! Global pharma giant Novo Nordisk is leveraging Celonis software and AI agents to completely revolutionize their clinical development process.
In an industry where bringing a new treatment to market takes precision and care, timing is everything—because ultimately, patients are waiting!
Here are the key takeaways from this inspiring journey:
- Targeting 12+ Months off Time-to-Market: By utilizing operational data strategically, Novo Nordisk aims to reduce drug development timelines by 12 months or more.
- Creating a Digital Twin: Historically, visibility across complex clinical development processes was challenging due to fragmented systems, rules, and multiple domains. By building a digital twin of their operations in Celonis, teams gained clear, end-to-end visibility.
- AI Powered by Operational Context: Rather than using AI for simple productivity tasks, Novo Nordisk is deploying smart AI agents. As Celonis President Carsten Thoma highlighted, deploying successful enterprise AI requires deep operational context—allowing agents to reason, decide, and act autonomously.
- Unlocking Massive Value: Shorter timelines not only bring life-saving treatments to patients sooner, but they also create tens of millions of dollars in potential revenue.
As Stephanie Bova, Corporate Vice President and Digital Transformation Officer (R&D) at Novo Nordisk, shared:
"If you don't have a digital twin of your operation, complete with business context, it's almost impossible to understand where to deploy AI and automation workflows... We see the Celonis platform as a very strategic, smart way to get there."
What do you think, Process Miners? 💬
How is your organization using Celonis to link operational context with AI and automation? Drop your thoughts, questions, or comments below! Let’s keep pushing the boundaries of what’s possible together! ⚙️✨
Check out this insightful video on how Novo Nordisk is Accelerating drug development with Process Intelligence.