Every AI Agent Will Eventually Fail: Why Healthcare Leaders Need Supervision, Not Hope

AI agents are moving into healthcare faster than most organizations can supervise them. In this conversation, Amy Brown, CEO of Authenticx, argues that every AI agent will eventually fail—and that the real differentiator isn't which company deploys AI first, but which one can see, catch, and correct what its AI is doing before a patient or member is harmed.

Learning Objectives:

1. Learn why “every AI agent will fail” isn't a scare tactic—it's the reality of deploying probabilistic systems in high-stakes healthcare conversations.
2. Understand what “supervision” actually means, and why it's different from dashboards, spot-checks, or a one-time launch checklist.
3. Learn how healthcare leaders can build the continuous oversight needed to catch problems early—before they become patient safety or compliance risks.