Baby steps over sweeping change for AI in hospitality

Overstretched hospitality teams don’t need a tech overhaul to overwhelm them. AI taken lightly - with proven ROI - will avoid burnout, says Alessandra Leoni, Head of Hospitality, Focus on Hospitality.

The hospitality industry is operating at its outer limit. Frontline teams are stretched thin, phones ring continuously, and staff turnover remains an operational tax that is constantly eating away at team morale, let alone margin.

In this high-friction environment, the promise that Artificial Intelligence presents seems somewhat enticing.  Yet to many hoteliers and hospitality operators, it appears as another over-hyped tech upgrade that risks overburdening operations - or being another additional cost - rather than relieving them.

The instinct to hesitate is rational. When technology adoption isn’t considerate of the wider team, existing workflows, and core IT infrastructure, it quickly becomes an expensive investment waste. But we know through lessons learnt in hospitality that standing still is not an option.

It's also true that the path forward is not an overnight digital revolution, far from it. Instead, for hospitality it’s about incremental deployment, taking tech in intentional baby steps to solve specific operational bottlenecks, that will prove the return on investment, and how it can augment human connection rather than replace it.

Why hospitality needs an AI assistant (right now)

Hospitality has a structural resource problem: highly skilled hospitality professionals spend hours every day performing repetitive, administrative tasks. AI is not about replacing the human element that defines great service; it is about connecting with teams to assist them in delivering service excellence. By delegating low-friction, high-volume operational tasks to an intelligent assistant, operators free up their human workforce to focus on what actually drives guest satisfaction: genuine, face-to-face engagement.

Consider incoming telephone calls. We live in a society with depreciating phone etiquette where staff often lack the skills to communicate by phone, yet are continuously interrupted by callers asking for opening times, directions, or booking availability. Instead of maintaining reams of switchboard staff or letting calls go to voicemail, redeploying teams to direct face-to-face guest interactions while AI manages inbound calls is a clear, immediate win.

When Viva Brazil in Cardiff introduced AILA, an AI-driven telephony solution developed by Focus CX, it fundamentally changed how the restaurant handled bookings. AILA manages inbound calls, captures guest data, and integrates directly with TableFox, ensuring reservations go live instantly without manual staff intervention. The results of this targeted adoption were immediate, generating over £7,400 in additional revenue within just three weeks and reclaiming 60% of the time staff previously spent on the phone so they could focus on floor service.

Is your business ready?

Before adopting AI tools, hoteliers must answer a fundamental question regarding whether their underlying tech stack is ready. AI cannot deliver intelligent outcomes on top of siloed data.

We are already aware of the benefits where AI can support teams in tech environments where information is accessible. Using an internal AI copilot across a global network of 7,000 users was found to save 2.5 hours per user per week.

When you know data is flowing freely across your Property Management System, Point of Sale, and Customer Relationship Management tools, an AI CX voice agent or internal copilot can instantly pull guest details, log specific requests, and trigger departmental actions. Whether it is a room reservation, a spa appointment, or a dinner booking, the request arrives at the front desk or kitchen with crucial guest context - like severe allergens, anniversary preferences, or previous stay notes - already attached. Focus CX works directly with hotels to analyse these weak operational areas, connecting the technology stack so systems can automatically gather insights and confirm appropriate actions for staff.

Preparing your business is not just an operational necessity, but a commercial one as well. A fundamental shift is occurring in how guests search, discover, and book hospitality experiences across four distinct AI entry points emerging throughout the guest journey.

The most advanced and rapidly accelerating entry point is conversational AI, where guests engage in direct, natural dialogue to plan itineraries inside platforms like ChatGPT, Gemini, and Claude. This is why we see the adoption of voice-AI assistants as easy-wins.

Where the commercial return actually sits

While consumer-facing conversational commerce and generative content generation dominate headlines, they are not currently driving the strongest near-term balance sheets. The highest commercial returns currently sit in CRM data utilisation and automated personalisation. Connecting AI to your existing customer data yields immediate, measurable gains over flashy consumer experiments.

Teams using AI for CRM report a two-fold gain in productivity by automating audience segmentation, campaign triggers, and tailored communication. Furthermore, CRM-attributed booking revenue has seen over 25% year-on-year growth directly linked to enhanced, AI-driven hyper-personalisation. Instead of trying to deploy complex generative tools everywhere, operators see faster payback by letting AI analyse historical CRM guest data to deliver timely, hyper-relevant offers across the guest lifecycle.

How to adopt AI without overwhelming your team

To avoid investment waste and staff resistance, hoteliers should follow a focused and deliberate adoption framework. We begin by auditing operations for high-friction weak spots to identify stress points, focusing on high-volume, low-complexity tasks like phone inquiries.

Operators must then standardise their connected infrastructure to ensure systems communicate seamlessly via APIs, giving AI the accessible data it needs to take accurate actions. Next, hospitality operators should deploy narrow, high-ROI baby steps like introducing single-purpose tools such as an AI telephony voice agent (AILA)  or copilot assistants rather than big sweeping platform overhauls.

Finally, establishing proof of ROI before scaling allows operators to measure reclaimed hours and conversion rates, validating the business case and building team confidence before expanding further.

AI in hospitality is not a substitute for human warmth; it is the ultimate administrative shield. By absorbing routine switchboard pressure, automating guest preferences, and driving team productivity, incremental AI deployment protects stretched teams from burnout and enables them to return to what they do best: delivering service excellence.