AI in Hospitality: A Practical Guide for Owners, Managers, and IT Teams (Paperback) (ISBN-13: 9798188789992)

Nearly every hotel now uses AI. Almost none of them can point to what it's actually earned them.

That gap - between adoption and value - is where this book lives. Written for owners, managers, and IT teams who are tired of vendor hype in one direction and blanket scepticism in the other, AI in Hospitality is a practical, evidence-based guide to what the technology actually does, where it pays for itself, and where it can quietly cost you a great deal more than the licence fee.

This is not a book about chasing the future. It's a book about sequencing the present: which foundations have to be in place before a chatbot is worth deploying, which of your existing systems are already quietly running AI (and have been for years), and which of the loudest AI trends - agentic booking, humanoid robots, emotion-reading sensors - are still mostly marketing.

What's inside:

• A plain-English explanation of what "AI" actually means - the real difference between machine learning, language models, and agents, and why mixing them up is the single most expensive mistake in the category
• Where the proven returns are: revenue management, predictive maintenance, staff scheduling, fraud detection, and food-waste reduction - with real, sourced results, not vendor slogans
• Where the real risk sits: chatbots that invent policies in your name (including the court case that proved it's your liability, not the software's), deep fake fraud, and the regulatory landscape across the EU, UK, US, and Asia-Pacific
• How AI is reshaping discovery and booking - and what it means when travellers start asking a machine where to stay instead of searching for themselves
• A full toolkit: vendor question sheets, a library of ready-to-use prompts with built-in guardrails against AI "making things up," a one-page AI policy template, a pilot evaluation framework, and a roadmap sequenced by property size

Every claim in this book is sourced and dated, because the numbers will age - the questions underneath them won't. Real, documented cases sit alongside the hype: airlines held liable for their chatbots' promises, a celebrated AI-replaces-humans story that reversed itself within fifteen months, and hotel groups that automated a problem they didn't actually have.

The book is honest about trade-offs throughout. It doesn't pretend AI is only an opportunity, and it doesn't pretend it's only a threat to jobs and guest experience. It argues, with evidence, for where the technology earns its place - and for the human judgement, hospitality, and trust that no amount of automation should be allowed to replace.

Whether you run a six-room guesthouse or a multi-property group, this book gives you what to actually do first, second, and never - written by someone who has spent fifteen years building the systems this technology runs on, for hotels and resorts across South East Asia.

The companion volume to IT in Hospitality.