Artificial intelligence has become one of hospitality’s defining technologies, but its long-term impact will depend less on individual applications and more on the industry’s ability to build connected, intelligent operating environments that place the guest at the centre of every decision.
The hospitality industry has invested heavily in technology over the past two decades to improve efficiency, strengthen guest engagement and generate new revenue. Property management systems (PMS), point-of-sale (POS) platforms, customer relationship management (CRM) tools, spa software, golf applications, booking engines and revenue management systems have all become more sophisticated. Yet many hotels still operate with highly capable but siloed systems that struggle to function as a cohesive whole. Guest information remains fragmented across applications, operational decisions stay confined within departments, and employees often spend more time navigating technology than serving guests.
AI has brought new urgency to this challenge. Many of today’s goals focus on conversational interfaces, intelligent assistants, automated workflows and predictive analytics. Those capabilities matter, but they also raise a more fundamental question: Can the underlying technology ecosystem support them?
According to Frank Pitsikalis, Senior Vice President of Product Strategy and Chief Marketing Officer at Agilysys, the conversation should begin with the guest and the experience an organisation wants to create.
That perspective shifts the discussion. Hospitality’s future depends on an organisation’s ability to transform information from multiple systems into insight, automate routine work without sacrificing human judgment, and equip employees with the context to create better guest experiences. This philosophy underpins what Agilysys calls intelligent hospitality. Rather than layering AI onto an already complex technology stack, intelligent hospitality positions AI as connective intelligence that links systems, surfaces information when it matters, and helps hotels respond to guests as individuals rather than transactions and create exceptional experiences.
Hotel market revenue is expected to reach $492.36 billion (USD) in 2026, with a projected market volume of $638.39 billion (USD) by 2030. With the average revenue per user (ARPU) projected at $345.36, hotels that focus on intelligent hospitality through a connected AI-enhanced technology ecosystem have the ability to predict guest behaviour, suggest reservations and activities based on intelligent guest profiles, and capture more of this revenue per guest across every touchpoint.
Each guest experiences the property differently. They remember whether the hotel recognised them on a return visit, whether a request made during booking was acknowledged at check-in, and whether recommendations felt relevant. Their perception is built through connected moments, even when the systems supporting them remain disconnected. AI offers an opportunity to close that gap, but only if the underlying data, systems and governance are equally connected.
In that sense, AI acts as an accelerant. Organisations with connected data, interoperable platforms and disciplined governance will adopt new capabilities more effectively, while those relying on fragmented systems will simply expose existing limitations faster. This philosophy shapes Agilysys’ AI strategy organised around four strategic pillars: hyper-personalisation, multi-modal experiences, agentic AI and revenue intelligence. Together, they reflect the belief that hospitality’s next competitive advantage will come from an operating environment that learns from every guest interaction and shares that intelligence across the enterprise.
Knowing the Guest Is Different From Knowing About the Guest
Personalisation has been a hospitality objective for years. Hotels collect reservation histories, dining preferences, spa appointments, golf scheduling, retail purchases, maintenance requests, loyalty activity and guest feedback. Yet even repeat guests often encounter experiences that feel anonymous. The challenge is rarely a lack of data. It is that valuable information remains trapped inside the systems that collected it.
Personalisation depends on context, not simply data. A returning guest should not have to repeat a room preference at every stay. A dietary restriction shared during a previous visit should be available wherever food and beverage decisions are made. An anniversary celebrated during one stay should influence future recommendations, and every property in the portfolio should know the guest’s preferred activities – whether golf, spa or gaming – and base recommendations on past behaviour. Too often, these connected moments are treated as isolated transactions because the systems recording them were never designed to create a unified guest view.
Frank asserts that hospitality’s next evolution requires a continuously developing source of guest intelligence reflecting activity across the entire property. That philosophy is embodied in the Agilysys Intelligent Guest Profile, which brings together information from accommodations, dining, spa, golf, activities and other touchpoints into a unified record of the guest relationship. The result is a richer foundation from which AI can surface relevant insights when they are needed most.
The implications extend beyond recognising preferences or remembering special occasions. Hotel technology has traditionally documented what happened. Intelligent systems increasingly help operators determine what should happen next. Employees receive relevant information within their workflow rather than searching across multiple applications, while recommendations reflect demonstrated behaviour instead of broad demographic assumptions.
A unified guest view also creates commercial value. Every interaction becomes another source of intelligence, revealing patterns across accommodations, dining, wellness and recreation that can inform staffing, merchandising, programming and future investment decisions. Personalisation becomes an operational capability that improves both the guest experience and business performance.
When Technology Learns the Language of Hospitality
Guests do not think in terms of modifying reservations or updating profiles. They simply want to explain what they hope to do during their stay. Associates likewise do not want to remember which application contains a guest preference or available inventory. They want immediate access to the information needed to serve the guest.
This shift toward multi-modal experiences involves far more than another user interface. During his presentation at HITEC 2026, Frank described a future in which conversation becomes the primary method of interaction. Guests could plan an entire stay – from accommodations to dining, spa, golf and activities – through natural dialogue without navigating separate systems or repeatedly providing the same information. Employees could retrieve preferences, review availability, and complete operational tasks through equally intuitive exchanges.
The business implications are significant. Hospitality has long struggled to give employees enough time to deliver the level of service that organisations promise. Even fully staffed operations devote considerable time to administrative work. Every minute spent searching for information or navigating multiple systems is time unavailable for meaningful guest interaction. Multi-modal AI can return that capacity by making information easier to retrieve and routine tasks easier to complete, aligning with the broader vision of intelligent hospitality: simplify operations so employees can focus on the guest.
Once AI can understand requests, retrieve information and recommend actions, it can increasingly execute well-defined tasks on behalf of employees. This evolution has given rise to agentic AI, which extends beyond traditional automation by participating directly in operational workflows.
The Rise of the Digital Workforce
Hospitality software has traditionally recorded work after it occurred. The next generation of intelligent systems is beginning to participate in the work itself. AI agents can coordinate workflows, process invoices, assist with room assignments, manage routine reservations, support accounting functions, and perform other administrative activities that consume valuable employee time. Within a disciplined operating framework, these agents function as specialised digital workers with defined responsibilities, controls and escalation paths.
The goal is not to replace human judgment but to elevate it. Exceptional hospitality depends on empathy, discretion, creativity and the ability to respond when circumstances fall outside a script. Those qualities remain distinctly human. Rules-based administrative work is better suited to intelligent automation. Every routine task delegated responsibly to AI creates more time for conversation, problem-solving and personalised service.
As AI assumes greater operational responsibility, trust becomes central. Hospitality organisations manage highly personal information, including payment details, travel itineraries, family relationships, preferences and special occasions. That information enables better service, but it also requires organisations to ensure automated actions remain secure, transparent and accountable.
This is why governance occupies such a central role in Agilysys’ AI strategy. Rather than serving only as a compliance requirement, governance establishes the confidence necessary to deploy AI without compromising privacy, security or accountability. As intelligent systems move from answering questions to executing decisions, governance becomes an operational discipline spanning technology, risk, operations and leadership.
Frank has emphasised the importance of building a scalable architecture that can evolve alongside the technology. Organisations need the flexibility to adopt new capabilities without rebuilding their foundations. Consistent controls for data access, model orchestration, auditability and protection of personally identifiable information (PII) provide that foundation, allowing innovation to advance while preserving guest trust.
Revenue Strategy Without Departmental Boundaries
The same connected approach applies to commercial performance. Revenue management has long been one of hospitality’s most sophisticated disciplines, yet it has traditionally reflected the way hotels organise themselves rather than the way guests experience a property. Rooms, restaurants, spas, golf operations and recreational activities often function as separate revenue centres. Guests, however, experience a single destination.
AI creates an opportunity to rethink revenue through the full guest relationship. A change in weather may shift demand from outdoor recreation to spa appointments. Dining preferences may indicate interest in culinary experiences or wine events. Family travel patterns may influence activity programming, while group arrivals affect restaurant demand, staffing and ancillary service capacity. Together, these signals can influence pricing, availability, merchandising, staffing and operational planning across the enterprise.
This broader perspective is central to Agilysys’ approach to revenue intelligence. Optimisation extends beyond room inventory and rate decisions to encompass the full range of guest experiences across a property. Availability becomes more dynamic, merchandising reflects guest behaviour and context, and scheduling reduces unproductive gaps across spa, golf and activity operations. Recommendations become more relevant because they account for both guest preferences and current operating conditions.
The result is a more complete understanding of guest value. Traditional revenue measures remain essential, but they capture only part of the economic relationship between a guest and a destination. Hotels that understand how accommodations, dining, wellness, recreation and retail interact can make better decisions about resource allocation and guest engagement. Revenue optimisation becomes a property-wide discipline organised around the guest experience rather than departmental objectives.
Trust as a Competitive Advantage
Hospitality has always been defined by its ability to anticipate needs, create memorable experiences, and build lasting relationships. AI does not change those objectives; it raises the standard for delivering them consistently across increasingly complex operations. Hotels invest in AI to better understand guests, empower employees, and operate with greater intelligence. Achieving those outcomes depends on a connected environment that shares information responsibly, learns continuously, and preserves the trust of operators, employees and guests.
Organisations that create lasting value will be those that establish a scalable, intelligent foundation capable of adapting as the technology advances. Connected data, interoperable systems, responsible governance, and a clear understanding of the guest experience provide that foundation, enabling operators to evaluate new capabilities based on strategic value rather than technological novelty.
That is the promise of intelligent hospitality. It is an operating philosophy in which technology works quietly across the enterprise, helping employees understand guests more completely, reducing friction in routine work, and identifying opportunities that disconnected systems often overlook. AI delivers its greatest value when it strengthens the qualities that already define exceptional hospitality: attention, judgment, responsiveness and trust.
As Frank shared at HITEC, the industry’s success with AI should ultimately be measured by its ability to make hospitality more human. When information becomes more accessible, routine decisions become easier, and systems function as a connected whole, employees gain something increasingly valuable: more time to focus on people. That may prove to be artificial intelligence’s most meaningful contribution to hospitality.