Ebook
Agentic AI: Transforming Clinical Trials
An Executive Guide — Part 1 for leaders building more scalable, intelligent, and patient-centric clinical trial models.
About this ebook
What's inside
Pharma and life sciences leaders are navigating increasing trial complexity—from growing data volumes and evolving protocols to recruitment challenges and rising development costs. This executive guide introduces Agentic AI as a proactive, autonomous framework designed to simplify complexity, accelerate timelines, and augment decision-making across the clinical trial lifecycle.
Key takeaways
What you'll learn
- What Agentic AI is, how it differs from traditional and generative AI, and why it matters for clinical operations now.
- How decentralized trials, regulatory demands, recruitment challenges, and growing data complexity are accelerating adoption.
- Where AI agents can improve protocol design, optimize site networks, strengthen recruitment, and flag quality risks in real time.
- A practical framework for piloting Agentic AI, building the right infrastructure, and scaling adoption across your organization.
Why download this ebook?
A practical roadmap for clinical innovation
This ebook is a first step toward building a more scalable, intelligent, and patient-centric clinical trial model. Learn how Agentic AI can reduce trial startup timelines, streamline critical decisions across the trial lifecycle, and help leadership teams prepare for rapid adoption and scale.
AI evolution: from reactive to agentic
Traditional AI
Requires human prompts, remains limited to specific tasks, and takes no autonomous action.
Generative AI
Generates content and on-demand responses while relying on human interaction.
Agentic AI
Acts proactively toward goals, makes autonomous decisions, and continuously learns.
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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