customer_support · energy · workflow
ElevenLabs powers voice technology for Cisco's Webex AI Agent
Enterprise customer service falls far short of consumer expectations: only 25% of customers are very satisfied with their last service engagement, 94% have abandoned interactions due to poor experiences, and traditional chatbots have frustrated customers with rigid experiences and an inability to interpret natural language.
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 · Customer initiates support
Customers engage the Webex AI Agent for voice-first, agentic enterprise customer support.
Tools used
ElevenLabsWebex AI Agentlarge language models (LLMs)Text to Speech
Outcome
The Webex AI Agent, powered by ElevenLabs voice technology and LLMs, delivers human-like voice interactions that understand customer needs, remember history, adapt to emotional cues, and integrate with enterprise backend systems at enterprise-grade scale and security.
What failed first
Traditional chatbots frustrated customers with rigid experiences and an inability to interpret natural language.
Results
Volume25%
Grounding & classification
Source type: vendor customer story
29 fields verified against source quotes.
ai agentconversational aisentiment analysisvoice aifailure mode describedmetric backednamed customerproduction runtime claimedsource backedtools describedvendor confirmedworkflow describedsoftwaretelecomcustomer satisfactionvendor customer storycall center aicustomer supportvoice call handling