call_center_ai · healthcare · workflow
Medical Data Systems scales $280,000 in monthly collections with Retell AI voice agents
Inbound call volume at MDS exceeded 3,000 calls per day, with many going unanswered or to voicemail. High agent turnover, expensive training, and the inherent difficulty of scaling phone support without adding headcount made voice the hardest and costliest part of the operation.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Inbound patient call received
Patient or insurance calls trigger the AI voice agent as the first layer of MDS's contact center.
Tools used
RetellIVR
Outcome
Retell voice agents now handle 100 percent of MDS's inbound calls, completing roughly 70 percent end-to-end without human transfer. Across inbound and outbound workflows the AI handles approximately 30,000 calls per month and collects an average of $280,000 per month, while call abandonment has not increased.
Results
Time savedapproximately 30,000
Volume3,000 calls per day
Cost replaced$280,000 per month
Grounding & classification
Source type: vendor customer story
27 fields verified against source quotes.
agentic workflowconversational aivoice aimetric backednamed customerproduction runtime claimedtools describedworkflow describedhealthcareautomation rateemployee productivityrevenue increasethroughput increasevendor customer storycall center aifinance opsautonomous resolutionescalation workflowvoice call handling