SuperDial, a company that started as a revenue cycle management (RCM) firm itself, has now handled more than seven million billing calls using its AI voice agents. Co-Founder and CEO Sam Schwager envisions a near future where an AI agent at a provider communicates directly with an AI agent at a payer, automating most RCM interactions. The shift addresses a persistent bottleneck: human staff spending hours on hold repeating "the same conversation 40 different times a day," as Schwager said.
From RCM operator to AI vendor
SuperDial built its voice agent out of necessity. The company focused on behavioral health RCM and hit a growth ceiling that only automation could break. After solving its own call-volume problem, SuperDial began selling the technology to other RCM organizations roughly two-and-a-half to three years ago. The platform now supports partners of any size, handling both outbound and inbound calls.
Schwager said the goal is not to replace humans entirely. Many claims are abandoned because of their complexity. With routine calls offloaded to AI, human staff can examine and resolve those difficult cases instead of waiting on hold. For professionals looking to understand how these tools fit into billing workflows, the AI Learning Path for Medical Billers provides practical guidance on integrating automation into claims processes.
Clearing backlogs and preventing future pileups
One customer came to SuperDial with a backlog of 70,000 claims. After partnering with SuperDial, the provider worked through that backlog in a couple of weeks. The voice agent is now integrated into the provider's claims process to prevent similar buildup. Schwager said faster payments and lower overhead benefit both providers and payers.
Expanding beyond the phone call
SuperDial's agents now examine payer portals and policy documents before a call to improve the interaction. The company also sees interest from payers who want to use the voice agents to call providers and verify directory information is current. Schwager noted that emerging standards for agent-to-agent communication could unlock significant efficiencies in healthcare once they mature.
Why this matters for healthcare professionals
For RCM staff, the immediate impact is fewer hours spent on hold and more time resolving denied or complex claims. For healthcare organizations, voice AI can shrink backlogs from weeks to days and keep them from returning. As payer-provider AI communication standards develop, professionals who understand these tools now will be better positioned as the industry moves toward automated, agent-to-agent transactions. The AI for Healthcare resource hub offers ongoing coverage of how such technologies are reshaping billing, claims, and payer interactions.
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