The Build vs Buy Question: Workforce AI and the New Rules of Commercialization
When should life sciences teams build their own AI, and when should they buy? A look at the new commercial playbook.
- Guest:
- Indraneel Mukherjee, Partner – Guidehouse
- Host:
- Jane Urban, Chief Data & Analytics Officer, Improzo
- Date:
- July 22, 2026
- Duration:
- 35 minutes
About the episode
Welcome to The Improzone!
In this two-part conversation, Jane Urban is joined by Indraneel Mukherjee, Partner at Guidehouse, to explore one of the most important strategic questions facing life sciences organisations today: What should companies build themselves, what should they buy, and where do the right partnerships create the greatest value?
In Part 1, the discussion goes beyond the traditional build-versus-buy debate to examine how AI is reshaping commercial organisations, workforce strategies, and operating models. As technology evolves at an unprecedented pace, organisations are being challenged to rethink not only how they adopt AI, but also how they develop talent, define core capabilities, and balance strategic thinking with effective execution.
The conversation also marks the beginning of an exciting partnership between Improzo and Guidehouse, bringing together deep advisory expertise with AI-powered execution to help life sciences organisations move from strategy to measurable outcomes.
Whether you’re leading commercial transformation, AI initiatives, or preparing your organisation for the future of work, this episode offers practical perspectives on the decisions that will shape the next generation of life sciences.
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 the build vs. buy decision has evolved into a broader strategic conversation in the AI era
- How life sciences organisations can determine which capabilities should remain in-house and which are better delivered through partnerships
- The growing importance of AI talent, workforce readiness, and organisational transformation
- Why successful AI adoption requires more than technology—it demands changes in operating models and decision-making
- How the Improzo and Guidehouse partnership bridges the gap between strategic advisory and AI-powered execution
- What commercial leaders should prioritise today to build organisations that are ready for tomorrow
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.
