call_center_ai · healthcare · workflow
Ovianta uses ElevenAgents to achieve 68% patient engagement and 25% treatment conversion increase
Clinic staff were too stretched to prioritize outbound follow-up calls for treatment proposals, creating lost revenue for clinics and missed care for patients; generic-sounding automation also risked undermining trust in a linguistically diverse Spanish market.
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 · Treatment proposal triggers follow-up
When a clinic provides a treatment proposal, the voice agent follow-up workflow is automatically initiated.
Tools used
ElevenAgentsElevenLabs
Outcome
Ovianta's ElevenAgents-powered voice agents achieved a 68% patient engagement rate, reduced manual follow-up calls by 83%, and increased treatment conversions by 25%, handling nearly 14,000 calls with 67% fully resolved by AI.
Results
Time saved20% month-over-month
Volume68%
Running since2025
Grounding & classification
Source type: vendor customer story
29 fields verified against source quotes.
ai agentconversational aivoice aicall recordingmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedhealthcareautomation rateconversion increaseemployee productivitythroughput increasevendor customer storyappointment schedulingcall center aipatient onboardingautonomous resolutionvoice call handling