customer_support · travel · workflow
Hospitable uses Intercom's Fin AI chatbot to resolve 30% of inbound queries and cut response times by 95%
Hospitable faced a growing backlog of support queries and was approaching the point of needing to expand headcount, while also lacking around-the-clock coverage for hosts who contact support outside business hours.
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 submits support query
Hospitable's customers, who often contact support outside business hours, submit inbound support queries.
Tools used
IntercomFin
Outcome
Fin instantly cleared the 500-query backlog, now resolves 30% of all inbound queries, and has reduced response times by 95%, while 61% of new customers prefer the faster AI responses over waiting for a human agent.
Results
Time saved95%
Volume30%
Grounding & classification
Source type: vendor customer story
27 fields verified against source quotes.
chatbotconversational aiknowledge searchknowledge basesupport tickethuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedsoftwaretravelcustomer satisfactiondeflection rateemployee productivityresponse time reductionvendor customer storycustomer supportticket triageautonomous resolutionescalation workflow