Life sciences organizations are under pressure to do more — engage more HCPs, tighten margins, and bring therapies to market faster — with fewer resources. Agentic AI isn't a future bet. It's the lever that makes it possible.

But adoption in a regulated industry is a different game. The stakes are higher, the constraints are real, and a legacy implementation mindset will slow you down.

In this expert-led session, learn how to:

• Build on a trusted foundation: Navigate the data, process, and regulatory constraints unique to life sciences — without waiting for perfect conditions to get started
• Take a phased, practical approach: Follow a crawl-walk-run roadmap that drives high impact without a heavy lift — and avoids the missteps that derail most AI projects
• Win with proven use cases: See how life sciences organizations are already using Agentforce across clinical trials, regulatory workflows, and commercial execution — and how to replicate that success

This is what intentional, realistic AI adoption looks like. Don't just digitize the past — build for what's next.