customer support · pattern
Voice AI agents
Voice-first AI agents handling inbound calls, outbound campaigns, or in-app voice experiences.
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 · Call ingress & channel routing
Phone hotline, web, mobile app, and chat-voice channels normalize into one stream; routing picks the right agent configuration per market or language.
What fails first / common problems
Recurring first-deployment failures from the matching workflows'what_failednotes. First sentence of each, attributed to the source case.
Aspire's legacy live chat vendor went out of business, forcing a platform change.
The existing IVR system was outdated, rarely updated, and unable to retain callers in self-service, sending the majority to expensive outsourced live agents.
Revolut's internal AI build validated the concept but could not be productionized at scale due to the complexity of speech-to-text, LLMs, TTS, real-time turn-taking, PCI compliance, and zero-retention controls.
Previous technology was described as anemic with major reporting problems, and quality management was effectively arbitrary—only a handful of random calls were reviewed each month.
Gorgias, Makesy's previous CRM, had a confusing tagging system that made it impossible to accurately determine why customers were reaching out, and offered no insight into agent availability or scheduling.
Tools commonly seen
elevenlabselevenagentsagent assistbesidecrestallmsasrelevenlabs agentsretell aisynthflowtext to speechai agent
Representative outcomes
Real metrics from selected cases — verbatim from each workflow'snumberspanel. Click any title to open the full case.
Aspire General Insurance scales voice automation to 53% and handles 37,000+ monthly calls with boost.ai
Time saved37,000+
Volume53%
Catholic Health achieves 57% call containment and zero wait times with Notable Voice AI
Time saveddropped to zero
Volume57%
Cost$350,000 a year
Revolut deploys ElevenLabs Agents to cut time-to-resolution more than 8x in customer support
Time savedmore than 8 times
Volumemore than 4 million customers
Meesho delivers real-time multilingual customer support at scale with ElevenLabs voice agents
Time savedreducing average handling time
Volumeover 60,000
Klarna reduces Time to Resolution by 10X with ElevenAgents
Time savedup to 10x faster
VolumeReduce phone queues for simple, high-volume requests
Example workflows
Five cases that best exemplify this pattern — selected for trust signal, evidence richness, and metric coverage.
Catholic Health achieves 57% call containment and zero wait times with Notable Voice AI
Notable AI Voice Agent
After a five-week launch, Notable's AI Voice Agent managed over 25,000 calls, raised containment from 30% to 57%, delivered a 5….
Cyclr's embedded iPaaS drives a 25% increase in sales for Neural Voice's AI conversation platform
Cyclr → HubSpot → Bird → Salesforce
Using Cyclr resulted in a 25% increase in sales for Neural Voice, saved days to months of engineering work, and allowed the tea….
Swtch reduces EV driver support costs by over 50% with Retell AI voice agent Lucas
Retell → Lucas
By deploying the Lucas AI agent on Retell, Swtch reduced its support cost burden by over 50 percent, drastically improved SaaS ….
eJam achieves 80% email support automation and 50% cost reduction with SigmaMind AI
SigmaMind AI → Sigma AI
SigmaMind AI delivered 80% email support automation by day 60, 50% social media automation by day 30, 50% fewer chat tickets fo….
ElevenLabs Customer Stories: Voice AI deployments across BFSI, Telecom, Healthcare, and E-Commerce
ElevenAgents → ElevenLabs
Multiple organizations across BFSI, Telecom, Healthcare, and E-Commerce report significant speed, conversion, and engagement im….