Agentic AI in Pharma and Life Sciences
A Blueprint for Autonomous, Resilient, and Compliant Operations
Agentic AI is shifting life sciences from siloed, reactive operations to autonomous, self-optimizing ecosystems. This whitepaper breaks down what’s possible today and what leaders must prepare for, across discovery, development, manufacturing, supply chain, and patient care.
Key Takeaways
- A clear view of Agentic AI fundamentals and what autonomous, goal-driven AI means for the pharma ecosystem.
- Pharma’s pressing challenges across demand volatility, compliance, supply chain fragility, and operational complexity.
- Agentic AI Use cases in the pharma value chain, including drug discovery, clinical trials, cold-chain logistics, quality control, and patient care.
- Guardrails and governance frameworks to deploy autonomous systems safely in regulated environments.
- Foundational requirements in data strategy, infrastructure, federated intelligence, and ethical oversight.
- Actionable steps for leaders, outlining how to prepare for autonomous, compliant decision-making at scale.