AI automation for restaurants and hotels that fills tables and frees your floor

The covers you lose while the floor is slammed

Walk into any busy restaurant at 7pm and watch what happens to the phone. It rings, and rings, and either goes to voicemail or gets snatched up by a server who is already carrying three plates. Studies of restaurant phone traffic put missed-call rates during service well past a third, and every missed call is a table that might have booked, a large party that went to the place that answered, or a regular who wanted to change a reservation and gave up. The same story plays out across Instagram DMs, WhatsApp messages, and the contact form on your site: inquiries land in channels nobody is watching while the kitchen is on fire.

Then there is the work that piles up after the doors close. Someone has to reconcile the OpenTable, Resy, and walk-in numbers against the POS. Someone should be replying to the reviews on Google, TripAdvisor, and Yelp, but rarely does. No-shows quietly burn 10-20% of your booked covers on a bad night because nobody sent a proper reminder or took a deposit. For hotels, the front desk fields the same twenty questions about check-in times and parking over and over. It is all repetitive, all rule-shaped, and all landing on people who should be running a room, not a queue of admin.

• Missed and after-hours phone calls that never convert to a booking
• Reservation and inquiry requests stuck in Instagram, WhatsApp, and web forms
• No-shows and late cancellations eating into a fully booked service
• Google, TripAdvisor, and Yelp reviews sitting unanswered for days
• Repeat questions about hours, menu, dietary options, parking, and check-in

What we automate, and how it actually works

We start with the front door of your business, which today is the phone and the DMs. We build an AI voice agent (on tooling like Vapi or Retell wired to your telephony) that answers every call in your venue's voice, checks live availability in OpenTable, Resy, or SevenRooms, books the table, answers the common questions about hours, menu, and dietary options, and takes a message or transfers to a human when something is genuinely unusual. The same brain runs across text: an LLM connected to the WhatsApp Business API, Instagram, and your website chat handles booking requests and questions in the channel the guest actually used, day or night. This is the same chatbot and support automation we build across hospitality, tuned to book covers rather than just answer FAQs.

Behind the conversation sits the plumbing that makes it real. An n8n or Make workflow keeps availability in sync, writes every booking back to your reservation system, and pushes a confirmation over SMS or WhatsApp. For no-shows, the automation sends timed reminders, collects a card hold or deposit through Stripe on high-demand slots, and works the waitlist automatically when a table frees up. On the reputation side, the moment a new review lands on Google or TripAdvisor, the workflow reads it, drafts a reply in your tone, routes anything negative to a manager for a quick approval, and posts the rest, the same pattern as our review and feedback automation. Online orders from Uber Eats, Deliveroo, and your own site can be consolidated straight into the POS so staff stop re-keying tickets between tablets.

Nothing here rips out the tools you run. We connect to Toast, Square, or Lightspeed on the POS side, to your booking platform and your Google Business Profile through their APIs, and we glue the gaps with n8n so your data stays in one flow. The guest sees fast, friendly, on-brand service at any hour. Your team sees fewer interruptions and a clean queue.

• AI voice agent that answers calls, books tables, and handles FAQs 24/7
• Chat booking across WhatsApp, Instagram, and website in one shared brain
• No-show defense: reminders, deposit or card holds via Stripe, automatic waitlist
• Review monitoring with drafted replies and manager approval on anything negative
• Delivery orders from Uber Eats and Deliveroo consolidated into your POS
• Guest data captured to your CRM for win-back, birthday, and loyalty campaigns

Concrete playbooks we ship for venues and hotels

A common first build for a busy restaurant is the missed-call recovery agent. Every call that is not answered within a few rings goes to the AI voice agent, which books the table if it can, answers the caller's question, or texts them a booking link and captures the details. On its own this typically recovers a meaningful share of the calls that used to hit voicemail, and each recovered large party can pay for the whole build in a single weekend. Pair it with a no-show workflow that sends a reminder the day before and the morning of, holds a card on parties over a certain size, and offers the slot to your waitlist the second someone cancels, and a venue running 15% no-shows can often halve that number.

The second playbook is reputation and repeat business. We wire your reviews into a single stream: every new rating is read and scored, five-star reviews get a warm on-brand reply posted automatically, and anything at three stars or below stops for a manager to approve a response within minutes rather than days. In parallel, guest details captured at booking flow into a simple CRM, so the automation can run a win-back message to guests who have not visited in ninety days, a birthday offer, and a quiet nudge to join your loyalty scheme. For hotels, the same building blocks handle pre-arrival messaging, upsell offers on room upgrades and late checkout, answers to the endless check-in and parking questions over WhatsApp, and syncing availability across the OTA channels so you stop overbooking. These are the same booking and messaging patterns behind our lead-generation and customer-operations work, pointed at guests instead of B2B leads.

What it takes to build, and what you own

A scoped hospitality automation reaches production in two to four weeks. We start by mapping exactly what happens today: who answers the phone and when, where bookings actually come from, what your no-show rate is, and how reviews are handled now. Then we build against your real venue, your live availability, your menu, your tone of voice, so the voice and chat agents sound like your place and not a generic bot. We roll it out in a supervised mode first: for the opening weeks the AI handles the easy, high-confidence calls and messages while anything unusual routes to a human, and we measure booking accuracy and guest sentiment on real traffic before widening what runs unattended.

You own what we build. It runs in your own n8n or Make account and your own tool subscriptions, connected to your POS, booking platform, and review profiles through their APIs, with documentation your team can actually read. We are not trying to become a subscription you can never cancel. And because a wrong answer in hospitality is a lost guest, everything is watched: if the agent hits a request it cannot handle, an availability sync breaks, or a booking looks wrong, it stops, alerts the right person, and logs what happened rather than failing silently. You get a simple dashboard of calls answered, tables booked, no-shows prevented, and reviews handled, so you can see what the machine is actually doing.

• Built on your real availability, menu, and brand voice, not a generic template
• Supervised rollout: AI handles easy traffic, humans get everything unusual
• Runs in your own accounts and tool subscriptions, documented for your team
• Every call, booking, and reply logged, with alerts when something breaks
• A live dashboard of calls answered, covers booked, and no-shows prevented

Time saved, ROI, and when not to automate

The math in hospitality is refreshingly direct because the cost of a missed cover is a real number. A mid-size restaurant that recovers even ten missed calls a week, converts a fraction to bookings, and halves its no-show rate is looking at thousands of euros a month in covers that were previously walking out the door. Add the hours the floor gets back during service and the manager hours no longer spent on reviews and reminders, and a first build usually pays for itself within a month or two. We price to the outcome, so you pay when the automation is booking tables and preventing no-shows, not for the hours we spent building it.

We will also tell you when to leave it alone. A single small venue with a quiet phone and a handful of walk-ins does not need a voice agent; the owner picking up is cheaper and warmer. Fine dining that trades on a deeply personal reservation touch may want a human on every call, and that is a fair call to make. Anything involving a real complaint, a safety issue, or an emotional guest should route to a person, not a script, and we build the handoff so it does. The point is never to make your venue feel automated. It is to catch the covers and conversations you are currently dropping, and hand your team back the hours they lose to the phone and the admin, so the hospitality itself stays human.