All Insights Report Insights from Axtria Ignite 2025 - Making AI Matter: Unlocking Business Value in Life Sciences

    Insights from Axtria Ignite 2025 - Making AI Matter: Unlocking Business Value in Life Sciences

    Artificial Intelligence

    Insights from Axtria Ignite 2025 - Making AI Matter: Unlocking Business Value in Life Sciences

    Discover what’s driving success, what remains challenging, and how to unlock AI’s full potential in life sciences.

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    Insights from Axtria Ignite 2025 - Making AI Matter: Unlocking Business Value in Life Sciences

    The life sciences industry is at a pivotal inflection point. Today, AI is a practical, powerful force reshaping commercial models, field operations, and decision-making. As AI tools move from pilots to scaled deployments, the focus shifts from whether to adopt AI, to ensuring it delivers meaningful, lasting impact.

    Are your tools delivering tangible business impact? In this exclusive report based on a panel discussion at Axtria Ignite, leaders from top pharma and biotech firms reveal where AI, including generative and agentic AI, is making a measurable difference—and where it still falls short.

    This is a playbook for making AI adoption work, grounded in field-tested examples, hard truths, and lessons learned.

    Key Insights at a Glance

    • Field Efficiency Gains: AI tools reduce administrative burden in commercial operations. For example, an AI tool consolidates disparate data sources to streamline pre-call planning—“Our sales professionals…no longer need to go to five different places to get their insights and latest trends.”
    • Improved Accuracy and Cost Savings: AI and Smart Optical Character Recognition (OCR) tech cuts expense report errors and saves time—“One report per submission now, which over time will save us a lot of money.”
    • PRC/MLR Streamlining: AI shows promise in streamlining the promotional review committee (PRC) or medical, legal, and regulatory (MLR) processes, thus improving submission quality and cutting review cycles— “…reducing the expense and the work not only for the reviewers but for the pre-submission managers.”
    • Purpose-and-Feedback-Driven Design: Truly impactful AI is purpose-driven, user-informed, and grounded in real-world workflows. Tools co-built with field reps saw rapid adoption—“Field leaders, they built the tool with us. They were happy to advocate and conduct the training with their peers.”
    • Why 80% of AI pilots fail: Failures are due to disconnects between teams, lack of data readiness, and unclear value.

    What You’ll Learn

    • How to move from pilot to production and scale AI tools with field teams
    • Where GenAI and Agentic AI are creating measurable ROI
    • Practical KPIs: time saved, adoption rates, and digital fluency gains
    • Why stakeholder alignment and data governance are non-negotiable

    AI has transformed the life sciences industry, and agentic AI will bring more efficiency changes. Organizations can enhance customer engagement and patient care by prioritizing high-impact use cases, robust data governance, and cross-functional collaboration. As one panellist summed up:

    “AI is here to stay…. Our goal is to harness it to drive meaningful business outcomes and improve patient care.”

    Download the full report now to learn what it takes to scale AI in life sciences with insights from executives at Eli Lilly, GSK, and Sobi.

    Contact us at connect@axtria.com with any questions.

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