White Paper
The Agentic CRO Blueprint
How the AI Workforce reshapes the clinical development operating model and economics — responsibly, measurably, and at scale.
About this white paper
What's inside
The traditional CRO operating model is under pressure from rising trial complexity, talent scarcity, margin pressure, and changing sponsor expectations. This whitepaper introduces the Agentic CRO — a new operating model built around a supervised AI Workforce that executes defined clinical workflows while human experts retain oversight and judgment.
Key takeaways
What you'll learn
- Why CRO economics are shifting from headcount-led delivery toward AI-enabled execution capacity.
- The difference between assistive copilots, specialized agents, and a supervised AI Workforce.
- Which clinical workflows offer the strongest starting points for AI Workforce adoption.
- The business case for building internally vs. partnering with an Agentic AI platform.
- How governance, human oversight, auditability, and the Context Layer support execution across regulated clinical workflows.
About the author
Moulik Shah
Founder & CEO, Maxis AI
Moulik Shah is the Founder and CEO of Maxis AI, an enterprise agentic AI platform for the pharmaceutical and life sciences industry. With over 20 years of experience in healthcare technology, he has spent the majority of his career helping pharma, biotech, and CRO organizations modernize clinical trials through data and AI. He is a Forbes Technology Council contributor, writing on artificial intelligence and enterprise innovation.
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