Is this an actual customer result?

Medical Billing Company · Multi-Specialty

Medical Billing Company High-Volume AR Automation

Illustrative Revenue Cycle Automation Scenario. This scenario demonstrates how a healthcare organization could apply revenue-cycle automation. It is not presented as an actual customer result.

The Challenge

A medical billing company serving 25+ practices was hitting a capacity ceiling. Adding new clients required hiring more billers, which eroded margins. AR follow-up was the biggest bottleneck — the team could not keep up with aging claims across all clients. Client satisfaction was declining as AR days increased. New client onboarding took 6–8 weeks.

The Approach

Sarva automated routine AR follow-up across all client accounts, freeing billers for exception handling and client communication.

Claim scrubbing was standardized across clients, reducing preventable denials at the source.

New client onboarding was compressed from 6–8 weeks to 3–5 days using Sarva's pre-built EHR integrations and automation templates.

AI-powered SLA tracking was introduced as a client-facing differentiator.

Illustrative Outcomes

Claims per biller

Illustrative 3x increase

Client onboarding

Illustrative reduction from 6–8 weeks to 3–5 days

Network AR days

Illustrative reduction from 42 to under 25

Outcomes are illustrative and do not represent actual customer results.

Key Lessons

Automating routine AR follow-up breaks the headcount-capacity constraint for billing companies.
Pre-built EHR integrations dramatically compress client onboarding time.
AI-powered SLAs are a competitive differentiator against manual billing companies.

See how this approach could work for your organization.

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