SuperDial clears 120,000 claims in weeks

Diving deeper into

SuperDial

Company Report
one leading firm using SuperDial to cut manual calls by 70% and clear a 120,000-claim backlog in three weeks
Analyzed 3 sources

This result shows SuperDial is selling throughput, not just cheaper calls. In this deployment, the product absorbed more than 40,000 payer calls per month, ran claims follow up in parallel, and pushed structured outcomes back into the client’s systems, which let a large RCM outsourcer remove a major work queue in weeks instead of hiring more callers. That makes SuperDial especially valuable to billing firms that live or die by backlog clearance and cash collection speed.

  • The operational bottleneck was basic but painful. Staff were calling insurers for claim status, prior auths, and eligibility, waiting on hold, then typing results back into billing systems. SuperDial automated the call, navigated the phone tree, captured the answer, and posted it by API or CSV, which is why manual call volume could fall so sharply.
  • The comparable set matters. FinThrive and Notable bundle this kind of automation into broader RCM software, while HealOS and Thoughtful AI attack similar payer workflows more directly. SuperDial stands out by focusing narrowly on high volume phone based payer work, where speed and parallelism matter more than broad suite coverage.
  • This also explains the mid market wedge. An outsourcer serving thousands of providers can turn one automation rollout into immediate labor relief, faster prior auth turnaround, and faster claims resolution across many end customers at once. That is a cleaner expansion path than selling one hospital department at a time.

The next step is from call automation to workflow orchestration. As payer APIs arrive unevenly, the winning product will decide when to call, when to hit an API, and when to hand a case to a person. If SuperDial keeps owning the backlog heavy workflows first, it can become the control layer for payer follow up across the revenue cycle.