Conversational AI Agent for DMCs
Maya helps your team impress travel partners with speed of execution and full accuracy.
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Find answers to the most commonly asked questions about AI agents for Destination Management Companies (DMCs).
A conversational AI agent for a DMC answers your partners' questions instantly and turns their requests into ready-to-send replies. Concretely, it answers questions about your programmes, group availability, ground logistics, vehicle and guide capacity, permits and seasonality, in the language the partner wrote in, using your own approved product and operations content. It reads incoming quote and RFP emails, including attachments, and drafts the reply for your team to check and send. Anything contractual, such as final rates or exceptions, goes to a person with the full thread attached. It works for trade partners and for direct travellers, with separate content scopes for each.
Maya is used by DMCs and inbound operators across the world including Aventure Colombia, a long-established DMC in Bogotá building tailor-made trips across Colombia, and LifeXperiences, a luxury DMC in Mallorca doing tailor-made itineraries and MICE, which handles high volumes of traveller chats, alongside inbound operators running the same kind of ground operation, such as Best Arctic in Norway and TourTailors in Portugal. They use an AI solution for DMCs for three simple reasons: cover the hours their partners work, reply to partners faster, and get local knowledge out of the heads of a few key people.
An AI agent makes your team available and responsive whenever your partners are working. DMCs using Maya have their own conversational AI agent that answers immediately, at 3 a.m. local time, in the language the partner wrote in, using your live trip information, so the partner keeps building their proposal instead of waiting. Only the questions that genuinely need judgement reach your operations team, and they arrive already framed. Response speed is often the difference between winning and losing a series.
Yes, on the preparation side. Maya reads inbound requests, including attachments and multi-part briefs, classifies what is being asked, and drafts a structured reply grounded in your own products, itineraries, and documented terms, so your operations team can edit and validate instead of assembling from scratch. Multi-question briefs get broken down point by point so nothing is silently dropped. Commercial decisions, final rates, contracted terms, and exceptions stay with a human, who always approves before anything is sent.
By making it instantly available to every partner, in every language, at any hour. Maya learns exclusively from your approved sources: product sheets, itineraries, operations manuals, supplier arrangements, destination and permit information, so what partners receive is your own ground expertise, not generic destination content from the open web. Where something is not yet documented, the question is logged as a ranked content gap, so your team sees exactly which piece of local knowledge to capture next.
Yes, with separate scopes. Content, tone of voice, pricing visibility and booking links are scoped per audience or brand, so a trade partner sees net rates and operational detail while a direct traveller sees a consumer-facing answer, from the same account, without two systems to maintain. Role-based access control applies the same logic internally: sales, operations and management each see the content and conversation history their role allows, while leadership keeps a full overview.
Your data stays yours exclusively and is never used to train AI models for anyone else. Conversation data is isolated per customer, access is governed by role-based permissions so net rates are not exposed to the wrong audience, data-retention periods are configurable to match your own policy, and you can export everything in standard formats at any time. Maya is also LLM-agnostic, so your knowledge layer is not tied to a single model provider.
Less in headline conversion, more in operational efficiency: faster first response to partners, more RFPs answered per week without adding staff, fewer repeat clarification emails, and coverage of hours when your office is closed but your source markets are working. The mechanism is proven in adjacent models: at Travelbase, 75% of Maya-generated email drafts are used by the team and handle time on emails in scope fell by 35%, and the enquiry-handling workload a DMC carries is structurally similar.
Maya is built for the travel industry as a whole, with 35+ travel companies across 20 countries live today across OTAs, tour operators, travel agencies and experience providers. What transfers directly to a DMC is the hard part: travel-native understanding of trips, availability, seasonality and documentation; grounding every answer in your own catalogue; email drafting; internal knowledge search; and multi-audience scoping. What is genuinely DMC-specific — B2B rate visibility, RFP flows, and partner segmentation — is based on configuration rather than a new product, and is worth scoping in a demo against your own enquiries.