Agentic AI for discovery science
June 17th from 10-10:45 AM PT | 1-1:45 PM ET
Register now
Agentic AI holds the potential to transform enterprises by driving unprecedented gains in productivity, creativity, and automation. But alongside these benefits come serious challenges—misguided investments, endless proof-of-concepts that never reach production, and increasing scrutiny from regulators. As organizations race to experiment with autonomous AI systems, the need for a clear, actionable strategy has never been greater.
In this webinar, we’ll move beyond the buzzwords and provide a grounded framework for understanding, deploying, and governing agentic AI in real-world environments. You’ll gain insight into how leading organizations are approaching this new frontier, what it takes to move from pilot to production, and how to stay compliant while driving measurable ROI.
You’ll learn how to:
- Identify the core capabilities and architecture required to successfully deploy agentic AI.
- Avoid common pitfalls such as PoC purgatory and unmanaged risk exposure.
- Build a governance framework that aligns innovation with security, compliance, and business value.
Join us to learn how to confidently bring agentic AI from experimentation to enterprise value.
Speakers

Chris McSpiritt
VP, Life Sciences Strategy

Christopher McSpiritt is a seasoned business architect, consultant, and product leader who has spent almost two decades specializing in helping life sciences organizations improve drug development processes through process reengineering efforts and the deployment of innovative software/analytics solutions. As VP of Life Sciences Strategy at Domino Data Lab, he leads Domino's go-to-market and product strategy for the pharmaceutical industry.