[VISIONCAST] The New Era of Enterprise AI is Here l Nov 12, 2026 · 12 PM EST · Virtual Register now
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On-demand webinar
78% of life sciences executives believe they have AI agents running in production. Only 26% actually do. Watch this on-demand session to learn what the leading pharmaceutical and biotech organizations are doing differently, and how they scale agentic AI without compromising GxP compliance.
Agentic AI could reshape how life sciences organizations discover, develop, manufacture, and monitor therapies. Most are still stuck in pilots. New research found that while 78% of life sciences executives believe they have agents running in production, only 26% actually do. The barrier is rarely the model. It is trust: accurate answers, connected data, and the traceability regulators expect.
This on-demand session draws on The State of Enterprise Agentic AI in 2026, a study of 740 AI and business leaders across enterprises generating more than 5 billion dollars in revenue across North America and Europe. It delivers an unfiltered look at where life sciences stands today, and what separates the leaders from everyone else.
Watch Dhaval Patel, Global Industry Leader, Life Sciences at ChapsVision, as he unpacks the research findings, and Eric Staib, Vice President of Corporate Quality at Syneos Health, as he shares how quality and compliance leaders balance innovation with the governance required to put AI to work in regulated environments. Together, they explore how successful adopters move from experimentation to validated, auditable AI across drug discovery, clinical development, manufacturing, and pharmacovigilance.
Why there is such a large gap between perceived and actual adoption, and how life sciences compares against cross-industry benchmarks.
The biggest barriers keeping pharma and biotech teams from scaling, and what the leading 26% do differently to break through.
How leaders prioritize accuracy, break down data silos, and build a knowledge layer so their AI knows what the enterprise knows.
Why every agent action must be explainable and auditable, and how leaders build this in from day one instead of retrofitting it for inspection.
A quality leader's view on scaling agentic AI under GxP, and how strong governance turns compliance into a path to high-value use cases.
How to prove agentic AI on the use cases that matter most, plus the core components of an Operational AI platform built for regulated environments.
