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Intent Classifier
Knows the difference between a "hi", a new booking and a follow-up.
A warm, decisive AI travel concierge who plans, searches and books real flights and hotels — all in one natural conversation. No checklists. No invented prices. No guesswork.
Most are a single prompt pretending to be smart. They invent flights, quote prices that don't exist, and dump 12 questions at you in one breath. Real travellers don't trust them — and they don't convert.
Musafir was built to be the opposite: a concierge that feels like a person, behaves like a professional, and never says anything it can't back up with a real booking-system response.
Every flight, hotel, price and PNR Maya quotes is the real one — pulled live from the booking system at the moment she says it.
Travellers talk the way they think — "next Friday, two of us, economy" — and Maya assembles the booking step by step in plain English.
Because Maya commits to one clear next step at a time, customers don't bail mid-funnel — they finish the booking with her.
Every message a traveller sends flows through these four phases before Maya replies.
Maya reads the message in context. She tells a "hello" from a booking, a follow-up from a fresh request, a correction from a new trip.
She picks the safest, smallest next step — ask one clarifying question, run a search, or progress the booking. One move at a time, never reckless.
When a fact is needed — a flight option, a fare, a hotel room — she calls the real booking system. Nothing is ever made up.
A guardrail re-checks every claim against the source data and a critic checks the tone. Only then does Maya speak.
Your concierge across flights & hotels
Behind Maya, a small mesh of specialists is doing the heavy lifting — but the customer never sees that. She is the single, calm, capable voice they talk to from "hello" to "your PNR is confirmed."
Hellos, thank-yous and small talk are handled the way a real concierge would — warmly, briefly, without confusion.
No exhausting checklists. Maya asks just the next field, with quick buttons when the answer is short.
Ask her about laptops while booking a hotel and she'll gently steer you back to your active trip.
Every PNR, hotel voucher and price comes from a real booking-system response — never a guess.
Thirteen focused agents collaborate behind Maya. Each has one job and does it well.
Knows the difference between a "hi", a new booking and a follow-up.
Sends the turn to the right pipeline — fast, conservative, never reckless.
Uses what we know about the customer to reduce friction — never to assume facts.
Turns "next Friday" into a real date, "us two" into traveller counts, and so on.
Writes the next single question with crisp button choices where it helps.
Handles "what time?", "any baggage?", "is my flight on time?" without forcing a booking.
Rejects impossible asks — past dates, unsupported routes — before any cost is incurred.
Chooses the smallest safe next move — clarify, search, enquire or book.
Talks to the real booking system through a governed tool layer — never improvises inventory.
Audits the draft response against tool output. Blocks any unsupported claim.
Reviews the reply for clarity, tone and completeness before it leaves.
Composes Maya's actual words — booking cards, next questions, summaries.
Remembers what was confirmed, what's still pending and what was just a suggestion.
Every flight, hotel and price is fetched from the live booking system at the moment Maya quotes it.
PNRs, hotel vouchers and fare rules cannot be hallucinated — guardrails block any unsupported claim.
Travellers never face a wall of questions. Maya progresses the booking one warm prompt at a time.
Flights and hotels — search, enquire, modify, book — all from inside the same conversation.
Each turn is touched by a mesh of focused agents — the customer just sees one calm reply.
New tools, new domains, new policies plug in without touching Maya's voice — built to scale across travel verticals.
A modern, vendor-neutral stack — assembled for safety, scale and speed of delivery.
Whether it's travel, finance, healthcare or retail — we can stand up a grounded multi-agent assistant on top of your real systems.