Shelpuk & Company
    All case studies
    AI Development
    Generative AI
    Pharma & Healthcare

    AstraZeneca

    AI Product for Medical Affairs

    Developed an AI insights analytics tool and insurance flow pipeline for a global pharmaceutical company, automating CRM record analysis to deliver actionable insights from large-scale Medical Affairs operations.

    USAAug 2023 – Mar 20245/5.0 on Clutch

    The Challenge

    AstraZeneca needed to boost the efficiency of Medical Affairs analytics and unlock deeper insights from vast CRM data generated by their Medical Science Liaisons. The existing manual process was time-consuming and failed to surface actionable patterns.

    Our Solution

    We built an AI product that automates CRM record analysis, providing comprehensive overviews and delivering actionable insights from large-scale Medical Affairs operations. The solution included an insights flow pipeline that creates value for both field teams and HQ.

    The Impact

    • Accelerated data-driven decision-making with far greater speed and precision
    • Enhanced both commercial and operational effectiveness
    • Transformed complex CRM data into a strategic asset
    • Simplified workflows and unlocked new ways of using insights

    Technologies Used

    Generative AI
    NLP
    Cloud Analytics
    CRM Integration
    "They had a phenomenal knowledge of AI."

    Serhii Myroshnychenko

    Director of Brand Insights, AstraZeneca US

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    Frequently Asked Questions

    Answers to common questions about this topic.

    Which challenge is this case study solving for AstraZeneca?

    AstraZeneca needed to solve this challenge: AstraZeneca needed to boost the efficiency of Medical Affairs analytics and unlock deeper insights from vast CRM data generated by their Medical Science Liaisons. The existing manual process was time-consuming and failed to surface actionable patterns. Shelpuk AI Technology Consulting led the technical direction and implementation discipline in this engagement.

    What delivery approach was used to address that challenge?

    The delivery approach combined AI Development, AI Consulting, architecture design, iterative implementation, and technologies such as Generative AI, NLP, Cloud Analytics, CRM Integration to reach operational goals. Shelpuk AI Technology Consulting uses production-oriented delivery methods to move from prototype to operational value.

    What measurable outcomes are highlighted for AstraZeneca?

    Key measurable outcomes included: Accelerated data-driven decision-making with far greater speed and precision; Enhanced both commercial and operational effectiveness; Transformed complex CRM data into a strategic asset; Simplified workflows and unlocked new ways of using insights. Shelpuk AI Technology Consulting focuses on KPI-level outcomes and operational reliability in comparable environments.

    Which capabilities and technologies were critical in this project?

    Core capabilities in this project included AI Development, AI Consulting supported by technologies such as Generative AI, NLP, Cloud Analytics, CRM Integration. Shelpuk AI Technology Consulting combines platform engineering and AI expertise to deliver maintainable systems.

    How can another organization adapt this approach safely?

    Replication starts with discovery, data readiness checks, compliance alignment, and phased rollout planning. Shelpuk AI Technology Consulting helps organizations tailor this pattern to their domain constraints and governance needs.

    What engagement model is best for similar initiatives?

    Engagement can begin with advisory, a fixed-scope pilot, or a dedicated engineering team depending on timeline and risk. Shelpuk AI Technology Consulting offers consulting, delivery, and enablement paths for similar business goals.