Rethinking Hospitality Operations Through AI Integration While Preserving the Human Experience at Scale
April 9, 2026 – 5:45 pm
Hospitality has long been defined by human interaction, but the systems that support those interactions have undergone continuous change. Arran Campolucci-Bordi, owner of Casa Italia, established 50 years ago in Liverpool, UK, frames this evolution through lived experience, tracing a path from handwritten reservation books to digital booking systems and now toward AI-driven operations. In his view, each transition reflects a broader shift in how restaurants manage time, communication, and customer expectations.
He points out that earlier generations relied entirely on manual processes. Reservations were written down, availability was checked by hand, and customer inquiries were handled individually. As digital tools emerged, many of these processes moved online, creating greater structure and consistency. According to Arran, the current phase introduces a new layer, where systems are capable of responding dynamically to customer needs without requiring human input.
From his perspective, AI within hospitality is best understood as an operational support system rather than a replacement for people. Ayra functions similarly to a trained staff member in specific contexts, particularly when it comes to handling information. Once it has been provided with details such as menus, booking systems, and policies, it can respond to customer inquiries in a conversational format. This includes tasks such as checking availability, managing reservations, and answering common questions in real time. He suggests that, in practice, this allows businesses to handle external interactions consistently, while allowing the staff to be focused on where it matters most.
Credit: Ayra
source: Ayra
That operational shift is increasingly visible across different industries. According to a report, 58% of employees surveyed say they are already saving time at work through AI tools, with users reporting an average of 52 minutes saved per day, or nearly five hours per week. In a sector like hospitality, where a large share of time is spent responding to enquiries and managing bookings, these time savings can accumulate quickly and better influence where teams focus their efforts.
Arran emphasizes that this type of system is designed to operate alongside existing teams. He notes that many roles within hospitality involve repetitive administrative tasks that take time away from direct customer engagement. The heart of EU tech
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Building on this, he explains that redistributing that time can reshape how service is delivered inside the restaurant itself. “By shifting those tasks to an AI-driven interface, businesses can allow staff to focus on delivering service within the physical environment of the restaurant,” he says. “It is a way of aligning people with the aspects of their roles that require attention, awareness, and interpersonal interaction.”
The practical implications of this shift are clear. As AI continues to evolve, the potential to enhance customer experiences, streamline operations, and foster a more engaged workforce within hospitality will only grow.