Picking the right problem is the first step toward healthcare AI that delivers ROI. This session explores Avahi’s six-step framework to identify bottlenecks, qualify opportunities, establish baseline costs, and deploy a working AI agent in four to six weeks with a clear focus on value.

Give scientists more time for lab work by reducing the burden of technical report writing. See how an AI agent transforms raw lab data into reviewer-ready drafts in minutes, while human experts review and approve every output before it moves forward toward a regulatory submission.

Discover a practical framework for turning AI ideas into revenue opportunities. Learn how to select valuable use cases, assess customer impact, and validate ROI before building, with a clear roadmap to implementing AI agents that support adoption and business growth.