We were doing this for ourselves first.
W2 Systems is the third part of the W2 Collective, a small team that started in London designing NFC products and building client sites. We now work from Madeira, where the front desk of almost every business runs in at least three languages. We began automating our own enquiries and follow-ups because we were drowning in them.
On the island, not on a support queue.
We're not an AI agency that appeared last month. W2 Create builds the websites and booking systems these businesses run on — which means we start from how a front desk actually works, not from a demo. That's the bar: if it needs a manual, it isn't finished.
Being here matters more than it sounds. We can sit at your reception for an afternoon and watch what actually gets asked, in Portuguese, English and German, before writing a line of anything. No American platform is going to do that.
Meet the Collective →UK estate & letting agents
Portal leads, viewings and tenant maintenance. Set up remotely over a couple of calls.
Madeira hospitality
Guesthouses, restaurants and rental desks. On the island, not a support ticket.
PT · EN · DE
Your guests write in their own language. So does the reply, by message and by phone.
It never invents facts
Prices, dates, availability and policies only ever come from your data. Anything else comes to you with a draft.
Who else is already running on this
None of the companies below is a client of ours and we are not implying otherwise. They are here because the question we get asked most is whether this technology is proven, and the honest answer is that Europe's biggest consumer brands have run their front desks this way for years. What's new is that it now fits a business of one.
Its AI assistant took on the bulk of customer-service chats within weeks of launch, handling in seconds what previously took minutes, across dozens of languages.
Uses AI to draft replies to customer emails inside its Kraken platform, with staff reviewing; the company has said it does the work of hundreds of people.
Handed routine customer questions to an AI assistant and moved thousands of call-centre staff into interior-design advice work instead.
Its TOBi assistant handles millions of customer conversations a month, resolving common queries before a person needs to step in.
Runs AI trip-planning and guest messaging in its app, answering traveller questions and drafting property replies at scale.
Its AI handles a large share of claims end-to-end, with the simplest ones paid in minutes and anything unusual routed to a person.
Summaries of publicly reported deployments, gathered from news coverage. These are not W2 Systems customers. Each brand runs bespoke systems built by in-house teams; we use the same class of models and integrations at small-business scale. Our own first client build goes live in Q4 2026 and we will publish its numbers.
Them vs you, until now
A big brand
how they do it
- In-house AI team, months of build
- Custom platform, custom integrations
- Human review layer for edge cases
- Facts pulled from their own systems
You, with W2 Systems
how we do it
- Us, three weeks
- Off-the-shelf model + n8n + your existing accounts
- You are the review layer, via WhatsApp, with a draft
- Facts pulled from your sheet, calendar and system
Next stepTwenty minutes on the phone. Then a straight answer.
Tell us what you keep doing by hand. We'll tell you which workflow pays back first, what it costs, and whether it's worth doing at all. If it isn't, we say so.