The best AI tools for DMCs in 2026.

Disclosure first: Jyper is ours, so weigh this entry accordingly. Jyper is a copilot, like the assistants below — but a purpose-built one. It knows a DMC’s workflow, connects to your suppliers and contracts, and carries the AI-agent tooling that quoting actually needs: reading the RFP from your inbox, drafting the itinerary, sourcing and chasing supplier rates, costing every line by your margin rules with each number traceable to source, and returning a client-ready proposal for your team to check and send. It collaborates — nothing reaches a client without your review — and a full platform (CRM, supplier database, costing engine, proposal analytics, work management) comes included.

The honest version of the pitch: frontier assistants are astonishing, and with enough effort you could bend one toward some of this. Jyper is what you get when that work is already done — done for a whole team instead of one chat window, priced against the labour it removes rather than metered per token, and kept model-agnostic so you are never stuck on last year’s model. When it is not the answer: if your volume is comfortably handled by hand, the tools below cost less and serve you well.

Put a frontier assistant in front of your team today. Translating supplier correspondence, summarising a fifty-email thread, drafting client-facing text, untangling a messy brief — this is daily DMC work, and a general assistant does it superbly for a per-seat subscription. They are astonishingly capable, and with real effort you can push one a long way toward a custom quoting helper.

The limits are not about intelligence — it is the same frontier Jyper runs on — they are structural. An assistant is single-player: the useful prompts and threads live in one person’s account, so it never becomes a team’s shared capacity. The unit economics bite as usage grows, because raw model use is metered and gets expensive at volume. You are tied to one lab’s model, so when a rival ships something better you do not automatically benefit. And it does not know your contracted rates — it will improvise numbers if you let it — cannot email a supplier, and keeps no audit trail. Anything contractual must be verified by a human, every time.

Maya (mayatravel.ai) positions itself as an intelligence layer that connects to a travel company’s existing systems and helps with the communication load: AI-composed email drafts that mirror your tone and level of detail, across the channels where requests arrive.

If your bottleneck is specifically correspondence volume — first replies, follow-ups, routine client messages — a communication-focused tool like this attacks that directly without asking you to change your back office.

TourConnect’s Itinerary Assist (2.0 launched January 2026) lets a DMC brief an AI in natural language and get a first-draft itinerary priced from live inventory, selecting relevant service lines from Tourplan or Hero.

That prerequisite is the point to understand: it is an AI layer for operators already running one of those systems of record, and it inherits their data. If you are on Tourplan and happy there, this is the natural way to add AI drafting without replatforming.

Ezus pulls the itinerary, the budget, supplier records and a branded proposal into one interface instead of a pile of separate documents. For a team living in spreadsheets, that consolidation is a genuine convenience, and it is the honest reason to pick it.

It is a different category from an AI tool: it is software your people operate, screen by screen. Whatever AI touches it has, the request is still read, planned, priced and formatted by a person — so every quote still costs a chunk of a skilled person’s day, and your capacity stays capped by headcount.

ChatDMC connects travel agents with DMCs: agents submit a query for a destination and receive competing quotes through a chat interface, with document and booking management around it.

We include it because DMCs keep asking — but understand what it is: a channel that brings you more RFPs to answer, faster, against competitors quoting the same request. It raises the value of answering quickly and well; it does not do the answering.