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Agentic AI in Pharma & Life Sciences

Agentic AI is transforming service, operations and customer experience. Learn how organisations can create the foundations for secure, scalable and trustworthy AI applications.

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From AI use cases to autonomous systems

Many pharmaceutical and life sciences organisations have successfully implemented their first AI initiatives. The challenge is to move beyond individual use cases and build scalable autonomous systems. This is where AI agents begin to differ from traditional AI applications.

  • Agentic AI connects data & decisions

    Traditional AI answers questions. AI agents execute tasks, coordinate processes and make decisions within defined guardrails. This creates shared context across systems and teams.

  • New risks require new guardrails

    Misinterpreted goals, incomplete data or limited transparency can directly affect outcomes. As a result, governance, testing and human oversight become increasingly important.

  • Scale starts with the operating model

    AI creates value when data, processes, responsibilities and governance work together. Technology alone is not enough.

Test and scale AI safely and responsibly

Our whitepaper outlines proven testing strategies and explains how organisations can deploy AI safely, maintain control and create measurable business value.

Explore Testing Strategies

Why do many AI projects remain stuck in pilot mode?

Many organisations have already established AI use cases, pilot projects and proofs of concept. The challenge is moving from individual applications to scalable autonomous systems. This requires new approaches to data, processes, governance and accountability.

  • Shared context is missing

    AI agents rely on context from CRM, ERP, service and knowledge systems. When information remains disconnected, decisions become isolated and automation remains limited.

  • Processes remain fragmented

    Many service and business processes still operate across organisational silos. Manual handoffs and disconnected workflows make it difficult to scale AI initiatives.

  • Governance comes too late

    Compliance, human oversight and accountability are often addressed only after AI has been introduced. This slows decision-making and increases risk.

Create clarity for your next AI decisions

Many organisations have already invested in AI. Our AI & Agentic Readiness Workshop helps teams assess existing initiatives, identify challenges and define practical next steps.

Request Readiness Workshop

What business impact can AI create in Pharma & Life Sciences?

Organisations that successfully operationalise AI expect significant improvements in efficiency, service quality and business performance. These figures highlight the potential of connected services, governance and scalable operating models.

  • Expected ROI from connected service models*

    Organisations that evolve service architecture and AI together expect stronger returns on investment and faster value creation.

    Source: IBM Institute for Business Value

  • Expected efficiency gains by 2027*

    Automated processes, shared data contexts and clearly defined workflows reduce effort and accelerate decision-making across teams and systems.

    Source: IBM Institute for Business Value

  • Proven first-year ROI*


    Structured testing, human oversight and controlled deployment help reduce risk and deliver value faster.

    Source: IBM Institute for Business Value

Create measurable impact with your AI initiative

Learn how pharmaceutical and life sciences organisations use AI to drive Commercial Excellence and Autonomous Service, and what it takes to make these initiatives successful.

Meet our experts


Do you have questions about Agentic AI, Commercial Excellence or Autonomous Service in Pharma & Life Sciences? Talk to our experts about your current situation, key challenges and possible next steps.

Oliver Keigel
Oliver Keigel
Director Healthcare & Life Sciences
+49 174 9966933
Mark Ehlers
Account Executive
+49 172 4682640

Do you have questions?

AI agents do more than answer questions. They can execute tasks, coordinate workflows and support decision-making across systems. In Pharma & Life Sciences, this creates new opportunities for HCP engagement, customer service and operational processes while also increasing the need for governance and control.

Human Oversight helps ensure that decisions made by AI agents remain transparent, explainable and subject to review. In highly regulated industries such as Pharma & Life Sciences, human control is essential for compliance, patient safety and trust among HCPs.

Proven methods include Human-in-the-Loop (HITL) validation, Silent Trials and Fairness Audits. These approaches help organisations identify risks early and introduce AI agents in a controlled way. Structured testing becomes especially important when applications affect HCP engagement, patients or regulated business processes.

Governance defines the rules, responsibilities and control mechanisms required for the use of AI. It creates the foundation for security, compliance and transparency. For pharmaceutical and life sciences organisations, governance is essential to deploy AI agents and autonomous systems responsibly.

Commercial Excellence and Autonomous Service address different parts of the value chain but share the same objective: creating greater impact through the targeted use of AI.

Commercial Excellence helps organisations engage HCPs more effectively, reduce effort and take a more data-driven approach to sales and marketing activities. Autonomous Service connects data, processes and governance so that AI agents can support service operations more efficiently and enable scalable service models.

IBM iX helps pharmaceutical and life sciences organisations assess AI initiatives, establish governance frameworks and implement Commercial Excellence and Autonomous Service capabilities. The goal is to deploy AI agents safely, create sustainable business value and support long-term transformation.