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Debt collection / healthcare receivables managementSourced

Case Study: How Medical Data Systems Scales $280,000 in Monthly Collections with AI Voice Agents on Retell

Medical Data Systems Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Medical Data Systems
Industry
Debt collection / healthcare receivables management
Challenge
Inbound call volume outgrew the collections team
Headline result
$280,000 collected monthly by AI voice agents

Key results

$280,000
Monthly collections
average per month via AI voice agents
70%
Call containment
resolved by AI without a live agent
30,000
Calls per month
handled by AI
30%
Transfer rate to live agents

The challenge

Medical Data Systems (MDS), a receivables-management firm, reached a breaking point when inbound call volume exceeded 3,000 calls per day. Many of those calls were going unanswered, putting both collections and patient experience at risk.

The solution

MDS deployed Retell AI voice agents to handle all inbound calls, taking payments and answering questions and transferring to a live agent only when needed. The AI now fields every inbound call with a 30% transfer rate to human agents.

The results, in context

Retell AI handles approximately 30,000 calls per month and collects an average of $280,000 per month for MDS. About 70% of calls are contained by the AI without a live agent, and call abandonment has remained stable since deployment.

Products used

Retell AI Retell AI Voice Agents