Ayra and Casa Italia: how AI handles reservations without disrupting human service

The restaurant business is increasingly trying AI not as a showpiece, but as a working layer for daily operations. The idea is simple: delegate repetitive customer requests and bookings to a machine so employees can focus on what guests actually come to the restaurant for — live service.

From Notebook to AI

Arran Campolocci-Bardi, owner of the 50-year-old Liverpool restaurant Casa Italia, describes AI implementation as another stage in a long evolution. First, restaurants kept reservations manually, then they moved to digital systems, and now they're getting tools that can answer standard questions and manage part of the communication on their own. In this logic, AI is not a sharp break with the past, but the next layer of automation around already familiar processes.

Guest expectations are also changing. If in the past a visitor could calmly wait for a phone or email response, now people write to messengers, booking forms, and social media and expect an almost instant reaction. For a restaurant, this means a constant stream of short but identical inquiries: is there a free table, what's on the menu, are you open on holidays, can we come with children, do you have options for people with allergies. Individually, such requests take minutes, but together they consume a noticeable part of a shift.

What Ayra Does

The Ayra platform, which Campolocci-Bardi mentions, works like a digital employee on the information front. If you load menu, booking rules, hours of operation, and other basic data into the system, it can conduct a dialogue with a guest in conversational format without human involvement. The point is not to replace a host or waiter, but to close that layer of communication where speed, accuracy, and uniform responses are valued above all.

• Checks table availability
• Helps with bookings
• Answers frequent questions about menu and rules
• Works with inquiries 24/7
• Reduces the number of missed requests outside business hours

The practical effect here is not just saving time. When repetitive external contacts move to an automated channel, the team inside the dining room gets more space to work with guests on-site. Additionally, the restaurant loses less due to missed calls and late responses. If someone writes in the evening or at night, the system can immediately provide a clear answer rather than leaving the request unanswered until the next shift starts.

Where Balance Is Needed

The most important point in this approach is that AI should not become a replacement for the actual restaurant experience. A guest comes not for a chat interface, but for atmosphere, attention, and the feeling that they are genuinely welcomed here. Therefore, automation makes sense where it removes routine and frees up time for the team, not where it displaces human contact in the dining room.

"People come to a restaurant for an experience, and that won't change.

If technology takes on everything around it, staff can do their job better." — Campolocci-Bardi

Campolocci-Bardi also points to another problem in the industry: restaurants don't so much resist technology as they fear complex and poorly tested solutions. If implementation requires changing the entire process, spending a lot of time training staff, and tolerating errors, the business simply won't scale it. Therefore, the bet is on simplicity: give the system a minimal set of data, embed it into existing processes, and quickly get a working result without a complete overhaul of operations.

What This Means

For restaurants, AI is gradually turning into an invisible layer between the guest and administrative routine. If such tools truly take on standard questions, bookings, and initial communication, the team gets a chance to spend less time on micro-tasks and more on the service itself. Those establishments will come out ahead that use automation not instead of hospitality, but to make it stronger.