What It Actually Takes to Build AI Agents Anchored to Your EHR

In this tech talk, we'll go under the hood on what it actually takes to build AI agents that can be trusted to act on behalf of patients and care teams. We'll cover the architecture, grounding strategies, and guardrails that separate a chatbot from a production-grade AI agent: one that operates safely within your EHR, respects clinical boundaries, and leaves a full audit trail for every action it takes.

You'll see a live teaser demo of Patient Navigator, XCaliber Health's AI agent, handling a real patient conversation, grounded in live EHR data, with every decision traceable.

You'll leave with:

• A framework for evaluating the technical trustworthiness of any healthcare AI vendor
• A clear picture of the difference between retrieval, grounding, and action-taking
• The questions you should be asking about guardrails, escalation, and explainability
• A behind-the-scenes look at how Patient Navigator is architected