Customer support · Production
ElevenLabs Customer Stories: Voice AI deployments across BFSI, Telecom, Healthcare, and E-Commerce
The problem
(not stated)
Workflow diagram · grounded in source
1
Outbound voice agent deployed
trigger
“Reaching 75% of riders and partners with outbound voice agents.”
2
Real-time AI call assistance
ai_action
“Bringing real-time AI assistance and translation to any phone call.”
3
Faster customer resolutions
output
“10X faster resolutions for 35M US customers with ElevenAgents.”
Reported outcome
Multiple organizations across BFSI, Telecom, Healthcare, and E-Commerce report significant speed, conversion, and engagement improvements using ElevenLabs voice agents and conversational AI.
Reported metrics
Resolution time10X faster
Ticket resolution time reduction8x
Onboarding speed20% faster
Rider and partner reach via outbound agents75%
Show all 10 reported metrics
resolution time10X faster
ticket resolution time reduction8x
onboarding speed20% faster
rider and partner reach via outbound agents75%
origination costs41%
lead-to-lock conversion rateDoubling
health screening conversion rates3.5x
lead capture lift35%
conversion improvement35%
CSAT improvement20%
Reported stack
ElevenAgentsElevenLabs
Frequently asked questions
What did this team achieve with this AI workflow?
Multiple organizations across BFSI, Telecom, Healthcare, and E-Commerce report significant speed, conversion, and engagement improvements using ElevenLabs voice agents and conversational AI.
What tools did this team use?
ElevenAgents, ElevenLabs.
What results were reported?
Resolution time: 10X faster; Ticket resolution time reduction: 8x; Onboarding speed: 20% faster; Rider and partner reach via outbound agents: 75% (source-reported, not independently verified).
How is this customer support AI workflow structured?
Outbound voice agent deployed → Real-time AI call assistance → Faster customer resolutions.