A concierge chat that qualifies leads while it talks to them
Multi-agent AI chat for a travel and destination-management business
2026
Multi-phase delivery
Travel / Destination Management
Starting position
Starting position
- ≈ 2–6 hours
First response time
During business hours only
- 0%
Enquiries qualified before a human reviews them
Every enquiry manually triaged
- ≈ 1–2 days
Time to a complete, usable assessment
Back-and-forth over email and WhatsApp
- ≈ 40–60
Enquiries handled per team member per week
Manually, across text and voice channels
Market size
≈ 500–700 / month
Inbound enquiries eligible for AI-first triage
Approx. budget
50,000 – 199,999 €
Budget breakdown
Budget bucket per Clutch.co project cost category. Exact figures under NDA.
5-phase delivery
Multi-phase
- 1
Phase 1
Assessment schema + multi-agent architecture design
- 2
Phase 2
Streamed chat + voice input over a single session model
- 3
Phase 3
Brand-voice retrieval over curated past correspondence
- 4
Phase 4
Lead scoring, qualification thresholds + concierge sub-agents
- 5
Phase 5
Regression testing + production rollout
Every enquiry needs the same information, gathered by hand
Before a human can respond meaningfully to a travel enquiry, someone has to extract budget, traveler count, dates and preferences from a free-form message or call - then reply in a tone that matches the brand, whichever person on the team picks it up. None of that scales with enquiry volume, and none of it is captured anywhere structured.
Every enquiry manually triaged before anyone knows if it's worth a human's time
Tone and voice depend on whoever happens to answer
Text and voice enquiries handled through completely different, ad-hoc processes
No structured record of what a lead actually needs until a human writes it down
A multi-agent chat that gathers, scores and hands off - in the brand's voice
We designed a chat system built from purpose-scoped agents rather than one general-purpose bot: a conversational agent that guides the enquiry, an assessment agent that scores and qualifies it against configurable thresholds, and a set of concierge agents that handle the surrounding workflow once a lead is qualified.
Guided assessment, not a form
The conversation itself gathers budget, dates, travelers and preferences, tracking what's still missing turn by turn.
Streamed text and voice
Replies stream token-by-token for a natural feel; voice messages are transcribed and answered in the same flow.
Brand-matched tone by retrieval, not fine-tuning
The agent's voice is anchored by retrieving real past replies that match the situation, curated by the team rather than baked into a model.
Qualification before hand-off
Configurable lead-score and budget thresholds decide which conversations reach a human, and when.
How enquiry handling changed
Enquiry handling moved from manual, person-dependent triage to a structured, brand-consistent chat that does the qualifying work before a human is needed.
Enquiry channel
Before
Manual email and WhatsApp threads
After
Guided AI chat, text and voice
One conversational surface instead of two disconnected, manual ones.
Tone of voice
Before
Depends on whoever replies
After
Retrieved from curated past correspondence
Consistent brand voice without training a model on it.
Lead qualification
Before
Every enquiry triaged by hand
After
Automatic scoring against configurable thresholds
Humans see qualified leads, not raw inboxes.
Enquiry data
Before
Buried in free-form messages
After
Captured as a structured assessment as the conversation happens
Nothing needs re-typing once a human takes over.
Payback inside the first quarter
≈ 2–4x
first year
≈ 25,000–45,000 € / year
estimated triage-labor time reclaimed
50,000 – 199,999 €
Payback period
≈ 3 months
Method
Manual-triage hours saved pre/post, priced at blended fully-loaded team cost
Confidence
Medium - based on enquiry-handling time comparison, not a controlled trial
Savings = reclaimed triage time; incremental bookings from faster response are not quantified here.
From manual triage to a qualified hand-off in one conversation
The chat system is live and handling enquiries end to end, from first message to qualified hand-off. Client-specific volumes are confidential; figures below are ranges validated against the pre-launch benchmark.
First response time
Before
≈ 2–6 hours
After
< 2 seconds
Business hours vs. 24/7
Time to a complete assessment
Before
≈ 1–2 days
After
Single conversation (minutes)
Enquiry to structured hand-off
Enquiries auto-qualified before human review
Before
0%
After
≈ 60–70%
Post-launch, rolling average
Assessment field coverage captured automatically
Before
0%
After
≈ 80–90%
Per completed assessment
“Enquiries used to sit in an inbox until someone had time to work through them. Now most of the groundwork is already done by the time we open the conversation.”
Operations Lead
Confidential - Travel & Destination Management Company
