Turo quickly built a scalable, multilingual AI support chatbot in two months, modernizing customer support without heavy engineering lift.
Read the Turo storyCommon use cases
What teams in travel & hospitality automate first
Every one of these is a real agent conversation, running in the channel the customer started in.
The agent finds the booking, offers real Sunday departures in the same fare class, reissues the ticket, and a teammate seats the colleague next door: changed, not just answered.
See how booking agents are built
A cancelled connection rebooked against live availability, bags retagged, boarding passes reissued, and a human restoring the seat the traveller had paid for.
See how disruption agents are built
The guest switches to Spanish and the whole job happens there: bag added, window seat picked, boarding pass delivered, in the channel and language they started in.
See how multilingual agents are built
Pillows, late checkout, and a noisy AC logged for engineering, with the front desk stepping in to comp breakfast: stay service without a phone call to reception.
See how guest agents are built
82%
CSAT
Also building on Voiceflow
Disruption-day scale
Built for the day the schedule breaks. Certified for traveller data.
Production volume, and the certifications to run it on regulated data.
99.95
%
Agent uptime
50
ms
Voiceflow latency
300
K
Messages per minute scale
Works with the travel CX stack you already run.
Voiceflow hands off to your human team with the full conversation, so nobody asks the customer to start again.
There is no migration project. Voiceflow sits on top of the CX stack you already run, and speaks to anything else through the API.
Most airlines and operators are live on their existing helpdesk the same day, with no change to booking or PSS systems.
Frequently asked questions
Does multilingual support need separate agents?
No. One agent serves many languages — Turo reached 82% CSAT running multilingual support built in two months.
Can agents handle irregular operations?
Yes. Disruption playbooks apply your policy consistently at the moment volume spikes, which is exactly when human queues fail.
How fast can we launch?
Teams commonly go from first flow to production in weeks, not quarters, because the agent reuses the systems you already run.