Where are AI Agents Actually Working in Healthcare, and Why?

While the healthcare industry remains locked in a high-level debate over the theoretical potential of artificial intelligence, a select group of digital health leaders are quietly deploying autonomous software agents to run core business infrastructure. This session moves beyond the hype to examine where AI agents are genuinely working in healthcare today, where they are showing measurable impact, and where the technology still falls short. Drawing on real-world experience deploying AI across healthcare organizations, the discussion will explore what these systems can actually do today, where they are creating value, and what leaders should consider before putting them into production.

Expect us to cover:

1. Where are agents working: Companies today are rapidly shifting to more applications for AI agents. But are we potentially overdoing it? What are the opportunities for agents and humans to collaborate? We dig into examples from the front lines. 
2. De-risking the Clinical Frontline Against Systemic Shocks: When centralized payment infrastructure collapses, manual operations grind to a halt. Talkiatry famously held a capital cushion from its $210M raise to protect payroll for 800+ full-time psychiatrists during macro clearinghouse failures. How does migrating to an autonomous billing framework alter a company's day-to-day cash position and change how a CEO models systemic risk?
3. The Reality of Payer Resistance and Edge Cases in RCM: Autonomous agents must execute logic within a highly resistant payer ecosystem. When an algorithm encounters an entirely novel denial pattern or a shifting regulatory boundary from a major insurer, where does machine autonomy hit a wall, and how is the handover to human operators structured? When would it have been better to just submit a clean claim?
4. Decoupling Clinical Scale from Administrative Headcount: Traditional care delivery networks require a linear expansion of back-office staff as provider footprints grow, a trap that consistently erodes digital health margins. How did the deployment of specialized AI agents enable a national expansion and the rollout of platforms like Talkiatry Connect without causing an administrative headcount slump?
5. Where we see agents struggle in healthcare: Let’s call it out, particularly in an era of AI hype. Are we overly automating and optimizing at the expense in some cases, of common sense?