Hospitality

Tern, Safari Portal, Maya and planis.ai, scored against one workflow

Four AI platforms for travel advisors, scored against the eight-stage workflow a luxury operator described. None of them covers all of it.

No single product covers the whole job. Score Tern, Safari Portal, Maya and planis.ai against the eight-stage workflow Sofiane Ghorbel names — inquiry, discovery, curation, booking, travel, follow-up, loyalty, repeat business — and each one takes a different slice. A full workflow probably needs two of them, and even then loyalty stays thinly served. Ghorbel is founder and CEO of AL Hospitality Group, with more than twenty-five years in luxury hospitality.

These four were identified by Artificial Reality as apparently relevant to requirements this operator stated. Not ranked, not independently tested, not named or endorsed by him.

What is travel advisory workflow software?

Travel advisory workflow software is a system covering the sequence a travel advisor or tour operator actually works through — inquiry, discovery, curation, booking, travel, follow-up, loyalty and repeat business — holding client context across all of it rather than serving one stage in isolation.

Booking engines transact. Itinerary builders produce a document. Generic customer relationship management tracks a pipeline that does not match this shape. Workflow software follows a client relationship through a trip and out the other side into the next one.

Tern

Best fit for: advisors and agencies wanting one workspace across the middle of the workflow.

What it does: an all-in-one workspace for travel advisors and agencies covering CRM, interactive proposals, itineraries, commissions and client experience, with AI handling research and data entry. Early stage, venture-backed.

What to verify: how far it extends past the trip. Loyalty and repeat business are where the value compounds, and CRM alone does not constitute loyalty tooling.

Safari Portal

Best fit for: luxury tour operators and destination management companies building bespoke itineraries.

What it does: luxury travel management software for tour operators, DMCs and advisors, with AI-assisted itinerary and proposal creation, CRM, a white-label traveller app and invoicing. Bootstrapped or early stage.

What to verify: whether the traveller app supports an advisor-mediated service model, where you contact providers rather than the client. An app that pushes the client to self-serve inverts what you sell.

Maya

Best fit for: operators whose inquiry volume is the bottleneck.

What it does: an AI agent platform for travel agencies, DMCs and tour operators, handling inquiries around the clock with lead qualification, personalised recommendations and multilingual chat and WhatsApp. Early stage, Belgium.

What to verify: how the personalised recommendation behaves when client data is thin — the standard condition in luxury, and the one that produces confident, wrong output. Ask specifically what it says when it does not know.

planis.ai

Best fit for: specialists who want briefs turned into client-ready proposals quickly.

What it does: an AI travel-plan studio for travel specialists that turns briefs into proposals and client microsites, with an operations layer covering clients, invoices and teams. Early stage, self-serve software.

What to verify: how far the output can be shaped to your house style. In luxury, a proposal that looks templated undermines the thing it is selling.

Where does each one sit in the workflow?

Maya — stage one. The only product here aimed squarely at inquiry, multilingual and WhatsApp-native.
planis.ai — discovery and curation. Brief to proposal, with a microsite as the client-facing artefact.
Tern — the middle, broadly. CRM, proposals, itineraries, commissions. Verify what happens after the trip.
Safari Portal — curation through travel, purpose-built for luxury, with a white-label app for the trip itself.

Nothing in this set is built for loyalty and repeat business, which are stages seven and eight.

How should you run the evaluation?

Map your own eight stages first, then score vendors against them. Most demos will be strong in the middle and quiet at both ends, and a written map is what stops you from noticing that only after signing.

Start at inquiry. If client preferences and history do not reach the first conversation, every later stage works from a weaker brief — Sofiane Ghorbel compares the inquiry to the market study that opens a financial feasibility study. Then ask what carries between stages: the value of integration is that curation knows what inquiry learned, and products that store each stage separately are a filing cabinet with a subscription.

Ask each vendor what the system does when it does not know. Confident wrong output costs more than an admission of uncertainty here, because a wrong recommendation costs the relationship. Check the client-facing surface against your service model. And ask about loyalty explicitly, since it is the stage most likely to be missing.

What should you buy?

Buy for the stage that is currently costing you business, not for coverage. If inquiries go unanswered overnight, that is Maya. If proposals take three days to produce, that is planis.ai or Safari Portal. If your records live in six places, that is Tern.

Then accept that loyalty is yours to solve without software this year, and do it manually: a written record, per client, of what they responded to on the last trip. Ghorbel's framing is that "AI does not replace expertise, it accelerates expertise" — and there is nothing to accelerate until that record exists.