Abstract: Pharmaceutical and life-sciences organizations are increasingly exploring generative AI, yet adoption remains constrained by regulatory requirements, data complexity, and the high cost of error. This talk introduces agentic AI as a practical and trustworthy paradigm for deploying generative AI in regulated, high-stakes environments. Agentic AI leverages orchestrated systems of LLM-powered agents that can plan, reason, validate outputs, and integrate domain-specific knowledge under explicit governance and human oversight. The session will highlight real-world use cases in market access analytics, commercial decision support, and life-sciences data platforms, demonstrating how agentic workflows enable faster, explainable, and auditable insights. Attendees will gain a practical understanding of how agentic AI can responsibly transform decision-making across pharma and life sciences. Speaker(s): , Ms. Akanksha Virtual: https://events.vtools.ieee.org/m/534684