Call center ai · Production

Ovianta uses ElevenAgents to achieve 68% patient engagement and 25% treatment conversion increase

The problem

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.

Workflow diagram · grounded in source
1
Treatment proposal triggers follow-up
trigger
“When a clinic provides a treatment proposal, Ovianta's voice agents automatically follow up”
2
AI voice agent calls patient
ai_action
“Ovianta's voice agents automatically follow up to answer questions, address concerns, and reconnect patients with the clinic team”
3
Reconnect patient with clinic team
routing
“reconnect patients with the clinic team”
Reported 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.

Reported metrics
patient engagement rate with AI follow-up68%
Reduction in manual follow-up calls by clinic staff83%
Treatment conversion increase after follow-up25%
Follow-up calls handlednearly 14,000
Show all 6 reported metrics
patient engagement rate with AI follow-up68%
reduction in manual follow-up calls by clinic staff83%
treatment conversion increase after follow-up25%
follow-up calls handlednearly 14,000
calls fully resolved by AI agents67%
Ovianta month-over-month growth20% month-over-month
Reported stack
ElevenAgentsElevenLabs
Source
https://elevenlabs.io/blog/ovianta
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

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 resolv…

What tools did this team use?

ElevenAgents, ElevenLabs.

What results were reported?

patient engagement rate with AI follow-up: 68%; Reduction in manual follow-up calls by clinic staff: 83%; Treatment conversion increase after follow-up: 25%; Follow-up calls handled: nearly 14,000 (source-reported, not independently verified).

How is this call center ai AI workflow structured?

Treatment proposal triggers follow-up → AI voice agent calls patient → Reconnect patient with clinic team.