AI Platform Engineering
AI inside the booking engine your guests and patients already use.
We engineer AI into the booking engine your guests and patients already use: booking by chat and voice in their own language, slot planning and price suggestions your team approves, reminders and waitlists for the bookings people miss, and changes handled without a phone queue.
Each feature is wired into the reservation, scheduling and payment systems you already run, and every release is tested against your own cases before a guest sees it.
a quiet room with a sea view for three nights from Friday, late check-in
Sea-view room, upper floor
Quiet side, free all three nights
Late arrival
Desk open until midnight
Poolside terrace
Steps from your room
Dinner on Friday
Often added to this stay
A guest's sentence becomes a shortlist of what is free, matched to their dates, their needs and your rules.
Books, changes and answers from your live availability and policies, in the guest's language, and hands over to your staff when it should.
Demand for next weekend is ahead of pace. Suggest a higher sea-view rate on Friday and Saturday nights.
Price and yield suggestions are drafted from demand, booking pace and your rules, and wait for a person before they go live.
Search, slot, pricing and assistant changes are checked against your own cases before guests see them, and the last good release is one step back.
The pieces we build most often. Each one connects to your reservation, scheduling, payment and messaging systems, and each one is judged on your own bookings.
Guests and patients book on your website, in messaging apps and by voice, in plain sentences. The assistant checks live availability, takes payment or a deposit through your existing provider and confirms in the same thread.
Room, table and appointment search that reads a whole sentence: dates, party size, accessibility needs and preferences such as a quiet floor. Results respect live availability and the rules your team sets.
Schedules that place appointments, treatments and room turnarounds where they fit, keep the buffers your staff need and fill the gaps that cancellations leave. Every rule stays visible and editable.
Rate and package suggestions drawn from demand, booking pace, local events and your own history, shown with the reasons behind them. A revenue manager approves every change before it reaches a guest.
Signals that flag bookings likely to be missed, reminders timed and worded for each guest or patient, and waitlists that offer a freed slot to the next person in line, within limits you set.
Trips assembled from a traveller's request: flights, stays, transfers and activities in a sensible order, priced from your live inventory and adjusted in conversation until the traveller is ready to book.
The same booking flow in the languages your guests speak, by text or voice, with your terms, prices and policies kept exact in each one and checked by a person before launch.
Guests move dates, swap rooms or appointments, cancel and rebook in a few messages, under your fare and cancellation rules, without waiting in a phone queue. Anything outside those rules goes to your staff.
When a request needs judgement, such as a medical question, a complaint or a group booking, the assistant passes it to the right person with the conversation and the booking attached.
Agentic commerce
Travellers are starting to plan through AI assistants that search, compare and act on their behalf. Open standards for agent checkout are arriving from the large platforms and payment networks, among them Google's Universal Commerce Protocol, the Agentic Commerce Protocol from OpenAI and Stripe, and Visa's Trusted Agent Protocol for recognising verified agents.
We make a booking engine readable and bookable by those agents: availability and prices in a structured form agents can read, an MCP server over search, holds and bookings, verified agent booking, and the rules that decide what an agent may change or cancel.
Most booking teams start with one feature on one channel. We build it inside your stack, prove it on your own bookings and hand it to your team.
A short readiness sprint in your booking, availability and guest data to choose the first feature and agree how it will be judged.
Engineers work in your repositories and your cloud, wiring the feature into the reservation, scheduling, payment and messaging systems you already run.
We test on your own booking cases before launch, then release to a share of bookings and watch the measures you chose, with a rollback ready.
Runbooks, dashboards and a team trained to run it. You own the code, the prompts and the evaluation set; we can stay on to operate it if you want.
Tell us the system you run and the feature you have in mind, and we will come back with a first view of how we would build it.