The Future of Commercialization Is Closer Than You Think
Why rethinking commercialization in life sciences means redesigning how organisations decide and operate, not adding another tool.
- Guest:
- Indraneel Mukherjee, Partner – Guidehouse
- Host:
- Jane Urban, Chief Data & Analytics Officer, Improzo
- Date:
- August 20, 2026
- Duration:
- 37 minutes
About the episode
Welcome to The Improzone!
In Part 2 of this two-part conversation, Jane Urban and Indraneel Mukherjee move beyond strategy to explore what it actually takes to transform commercial organisations in the age of AI.
While many organisations recognise that traditional commercial models are under increasing pressure, the bigger challenge isn’t simply adopting new technology, it’s rethinking the way organisations operate. From redesigning workflows and governance to standardising processes and preparing teams for AI-powered ways of working, this episode explores what meaningful transformation really looks like.
The discussion also examines why AI should accelerate better decision-making rather than simply automate existing processes, why governance is becoming more important than ever, and how organisations can balance innovation with the practical realities of large-scale change.
If you’re leading commercial strategy, digital transformation, AI initiatives, or organisational change within life sciences, this conversation offers practical perspectives on how to build commercial models that are ready for what’s next.
Highlights from the episode
Summarize with AI
Three key points, generated from this article
Summarize with AI
Three key points, generated from this article
- Why successful commercial transformation starts with reimagining operating models and not simply adding new technology
- How AI can improve workflows by enabling standardisation, automation, and better decision-making
- Why governance will become a critical foundation for building trusted AI-powered organisations
- The role of organisational knowledge, process design, and change management in scaling AI successfully
- Why people, leadership, and culture remain the biggest drivers of transformation
- How commercial leaders can move from incremental improvements to long-term organisational change
Ask Improzo iZO®
What does this mean for your team?
Meet Our Expert
Jane Urban
Chief Data & Analytics Officer
Jane brings 20 years of life sciences experience as a practitioner and consultant, including VP roles at Otsuka and Takeda. She builds new functions and high-performing teams across commercial, medical and data.
