What happens when AI moves beyond recommending the next step and starts taking it? In revenue cycle management, an agent might identify a missing authorization, work an exception, or initiate follow-up. Each action has consequences for the people and processes that come next. The opportunity is substantial, but so is the need to get the workflow right.
Join Mano Kalathil, David Peppard, and Rafael Peña Pelletier for a practical discussion about bringing agentic AI into RCM. Hosted by Valerie Grullón, this session will explore where to begin, what needs to be in place before agents take action, and how leaders can tell whether those actions are reducing rework and improving claim outcomes. If you’re evaluating agentic AI or planning an implementation, this conversation will help you ask better questions before you scale it.
What you’ll learn:
-How to choose an RCM starting point based on the problem you need to solve and the outcome you want to improve.-Learn how ePA and FHIR reduce delays and improve approval rates
-What an agent needs to know before it can act within a workflow, including when to flag an exception for a person to review.
-How to connect agent actions with the teams and processes that handle the next step in a claim’s journey.
-How to assess results beyond task volume and speed, using measures such as rework, preventable denials, and account resolution.
