customer_support · travel · workflow
eDreams ODIGEO scales agentic AI with ElevenLabs to power conversational travel support
eDreams ODIGEO relied on rigid interactive voice and traditional telephony models that could not scale intelligently for global inbound call handling across multiple languages.
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 · Inbound call received
The system handles inbound call traffic across five core languages.
Tools used
ElevenLabsElevenAgents
Outcome
The agentic deployment delivered a double-digit improvement in resolution velocity, a double-digit reduction in transfer rates, and enabled the system to manage the vast majority of call volumes across five core languages while supporting record-high Net Promoter Scores.
Results
Volumedouble-digit reduction in transfer rates
Grounding & classification
Source type: vendor customer story
27 fields verified against source quotes.
agentic workflowai agentconversational aivoice aimetric backednamed customerproduction runtime claimedtools describedworkflow describedtravelcustomer satisfactiondeflection rateresolution time reductionthroughput increasevendor customer storycall center aicustomer supportautonomous resolutionescalation workflowvoice call handling