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    The Future of Drug Development Reimagined: Agentic AI and the Functionless Pharma Model

    An Executive Guide — Part 3 on how autonomous AI agents are transforming pharmaceutical R&D—accelerating timelines, reducing costs, and enabling personalized, patient-centric therapies.

    Executive GuideOctober 8, 2025Ebook
    The Future of Drug Development Reimagined executive guide cover with purple digital wave artwork and Maxis AI branding

    About this ebook

    What's inside

    Pharma R&D is at a crossroads. Traditional models are slow, siloed, and costly—drug development timelines stretch over a decade, and costs have doubled every nine years. This executive guide introduces Agentic AI, a breakthrough approach where autonomous AI agents orchestrate end-to-end workflows, eliminating inefficiencies and enabling functionless organizations. It shows how this paradigm will redefine drug development over the next decade—promising 30–50% cost reduction, 6–12 months faster timelines, and personalized, patient-driven therapies for C-suite executives, R&D leaders, and digital transformation teams.

    Key takeaways

    What you'll learn

    • What Agentic AI is—why it's more than just automation, and how it acts rather than simply informs.
    • The 3/5/10-year outlook: from AI-assisted trials to fully autonomous drug development.
    • Key enabling technologies: LLMs, RAG, multi-agent orchestration, digital twins, and federated learning.
    • Use cases across R&D: protocol design, patient recruitment, trial monitoring, and regulatory submissions.
    • A strategic roadmap for how pharma leaders can prepare for this transformation.
    Moulik Shah

    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.