actAVA + AI Healthcare Lab Hosting a Hands-on Agent Building Session

AI agents have spent the last few years in the hype cycle: impressive demos, bold promises, breathless predictions about how they'll transform everything. But in healthcare, the real story is far more grounded. Physicians, nurses, and health system leaders are quietly deploying agentic AI to solve real problems, and they're learning valuable lessons about what works, what doesn't, and where the gap between hype and reality lies.

What's Actually Happening With AI Agents in Healthcare?

The breadth of use cases is striking. Agents handle ambient documentation—transcribing and structuring clinical notes — while the physician focuses on the patient. They're processing prior authorizations, a notoriously painful workflow that typically involves phone calls, faxes, and days of delay. They're supporting triage, helping clinics route patients more efficiently. They're coordinating care across fragmented health systems. And they're tackling revenue cycle issues that drain enormous resources from already-stretched finance teams.

What makes these use cases compelling isn't the novelty—it's the outcome. Real cases with measurable impact. Real failure modes that practitioners have learned to navigate. Real metrics that matter to health systems: time saved, quality improvements, cost reduction, and clinician satisfaction.

Why You Should Care (Even If You're Not Yet Building AI)

Whether you're a clinician skeptical of yet another tech solution, a health system leader evaluating where to invest in AI, a technologist building these systems, or an investor trying to understand what actually works, this event is designed for you.

You'll walk away with:

• Real use cases, grounded in outcomes. Not conceptual—concrete examples from providers and health systems already in production. Which agents deliver measurable ROI? Where are organizations seeing unexpected challenges?

• Clarity on where agents add value vs. where hype outpaces reality. There's a difference between an AI capability that's impressive and one that solves a problem your health system actually faces. This session cuts through the noise.

• Practical frameworks for evaluation and scaling. If you're considering agentic AI for your organization, you need more than a proof of concept. You need a way to pilot responsibly, measure impact, and scale what works. The practitioners at this event will share the approaches they're using.

• A community tackling the same challenges. The intersection of AI and healthcare is still relatively small. Building connections with clinicians, technologists, and operators working on these problems is invaluable, whether you're troubleshooting a deployment, looking for collaborators, or trying to understand where the industry is heading.

The Format

Kevin Riley, CEO of actAVA.ai, will lead a hands-on conversation with attendees.

This is a working session, not a lecture series. Expect direct conversations, real questions, and honest answers about what's working and what's not. The goal is to leave with a clearer picture of how agentic AI is actually transforming healthcare, and what your role might be in that transformation.

When and How to Join

Date: Wednesday, May 27, 2026
Time: 3:00 PM - 4:00 PM EDT
Platform: Google Meet

The join button will appear when the event is about to start. Register here to get on the list and receive a reminder.

This is the kind of event that fills up because people who are doing serious work in AI and healthcare make time for it. If you're building, buying, or thinking deeply about AI in healthcare, you should be there.

The AI Healthcare Lab is part of the broader AI Lab community—an invite-only network of AI-curious CEOs and executives, backed by trusted advisory boards and a world-class partner network. The lab creates space for practitioners to share real challenges, solutions, and lessons learned.