When we say “AI agents,” we're not talking about the suit-wearing, memory-wiping types from Men in Black, but these new agents might be just as transformative. In the world of hotel tech, AI agents are emerging as intelligent, task-driven assistants that work behind the scenes to simplify operations, boost efficiency, and create better guest experiences. Instead of battling aliens, these agents are here to tackle fragmented systems, reduce manual workloads, and unlock a smarter, more connected future for hospitality. And unlike the old “app-for-everything” approach, agentic AI offers a more agile, scalable way to run your hotel.
What Is Agentic AI?
Agentic AI refers to AI systems that act as autonomous agents, they can set goals, make decisions, and take actions independently, often across multiple steps, without requiring human input at each stage.
Unlike traditional AI, which is typically built to perform narrow, pre-defined tasks (like forecasting tomorrow’s occupancy or auto-responding to a guest inquiry), Agentic AI is designed to operate proactively, often across a chain of tasks, using reasoning, memory, and planning to achieve outcomes.
Feature | Traditional AI | Agentic AI |
Task Scope | Single, narrow | Multi-step, dynamic |
Autonomy | Reactive | Proactive |
Memory | Stateless or limited context | Long-term memory and self-reflection |
Planning | No | Yes |
Adaptability | Pre-programmed | Learns and adjusts on the fly |
Agentic AI systems are often powered by large language models (LLMs) or multi-modal models, and embedded within software “agents” that can interact with APIs, tools, and even users to accomplish goals. Think of them more like capable digital assistants than calculators.
In the context of hotel operations and technology, Agentic AI could radically improve productivity and guest experience. Here are a few realistic examples:
One of the biggest hurdles to adopting Agentic AI in hospitality is fragmentation. The typical hotel tech stack includes dozens of separate systems: PMS, POS, CRS, RMS, CRM, HR, and more, each with its own database, interface, and logic.
Agentic AI thrives in environments where it can see the whole picture and interact with systems freely. In a hotel setting, that’s rarely the case. Here’s why fragmentation poses specific problems:
Agent marketplaces are quickly emerging as hubs for hoteliers to find, review, test and deploy industry-specific solutions. This flexibility is redefining scalability and efficiency for all types of hospitality businesses. Apaleo recently announced Agent Hub, an industry first.
where hotels and vendors can discover, customize, and deploy agents built for everything from email bookings and CRM insights to marketing and digital twins, connected via Apaleo’s existing APIs. This means that hotels get fast, low-risk access to smart helpers without waiting on custom development or ripping out legacy platforms.
Despite these challenges, the shift toward Agentic AI is inevitable, and worth preparing for. Here’s how hotel tech professionals can lay the groundwork:
During the recent EHL Open Innovation Summit, we spoke with Romy Abbrederis, Co-founder of Lobby, about how agentic AI is reshaping hotel operations behind the scenes. Our conversation explored how Lobby tackles the complexity of reservation emails, why modular systems are key to adapting to different hotel needs, and how AI can support hospitality teams without replacing the human element.
While it's challenging to forecast the exact pace of adoption, one thing is certain: Agentic AI is a game-changing opportunity for the hotel industry. This technology stands to benefit all stakeholders, enhancing the guest experience with faster, more personalized interactions; empowering staff by automating routine tasks and freeing up time for high-value service; and driving profitability and efficiency for hotel owners. The road ahead points to a more connected, responsive, and profitable industry that delivers a truly elevated digital guest journey.
To be continued :-)
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