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Safety Nets for Autonomous AI in Pharma

Agentic AI is here — and traditional governance 
cannot catch its new failure modes. Learn how to protect patients, safeguard trust
and scale responsibly.

Download the Whitepaper
Slide titled “AI Agents on the Loose: Why Your Pharma Company Needs a Safety Net for Autonomous Systems” on a purple background, featuring a circular lab image of a gloved hand holding a petri dish, abstract red and pink shapes and an IBM iX logo in the corner.

Why this matters now

Autonomous agents do not just suggest — they act. In clinical settings, that difference matters. When an agent misinterprets a goal, learns the wrong lesson from new data, or hides its reasoning, small deviations can turn into significant real‑world consequences. This whitepaper clarifies the specific risks of agentic AI in pharma and shows how to keep safety, fairness and trust at the centre of innovation.

If you lead clinical development, medical affairs, AI and data science, compliance, or digital transformation, this guide helps you see the risk landscape clearly — before scaling autonomous systems across patient‑impacting workflows.

What you'll learn in 10 minutes

  • Where agentic AI fails in clinical contexts and why assistants and agents are different.

  • How misinterpreted goals, silent learning drift and invisibility create risk.

  • The three testing methods that build trust without slowing innovation.

  • How an oncology case study translates safety into measurable ROI.

  • What “responsible scale” really looks like in regulated environments.

Learn more about AI Safety Nets in Pharma.

Fill in your email address to download the Whitepaper for free.

Let’s discuss how AI can help your business. Get in touch now.

Annika Hamann
Lead UX & Service Designer, IBM iX
+49 151 2026 9375
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Mark Ehlers
Account Executive, IBM iX
+49 172 4682640
Connect on LinkedIn