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14 contributions to AI Automation Society
Hospitality Has an AI Opportunity — But a Data Problem
Hospitality is talking more and more about AI, but in practice the industry still feels behind. I think one of the main reasons is simple: most businesses do not have the data foundations in place for AI to create real value. There is a difference between people using tools like ChatGPT directly, and hospitality businesses actually adopting AI in a deeper operational way. That second part is much harder. Why? Because hospitality data is usually spread across multiple systems: PMS, POS, CRM, finance, staffing, guest communication, reviews, marketing platforms, and often a lot of manual spreadsheet work too. When the underlying structure is fragmented, AI adoption stays fragmented as well. So the bottleneck is often not “AI” itself. The bottleneck is whether the business is organised well enough, from a data point of view, for AI, analytics, and automation to be useful in the first place. This is also the thinking behind a project I’m working on at the moment: exploring how hospitality businesses can become more AI-ready by structuring scattered data more clearly across functions. I’m curious how others see this. Is hospitality behind on AI mainly because of culture and mindset, or because the systems and data underneath are still too messy?
Anyone doing AI consulting specifically for hotels/hospitality? 🏨
Hey guys! I've been exploring the hospitality niche for AI consulting and honestly the more I look into it the more potential I see - front desk automation, booking management, guest communication, revenue optimization... It feels like this industry is YEARS behind on AI adoption compared to others 🔵 Is anyone here actually consulting in this space? 🔵 🔵 What kind of projects are you working on? 🔵 I'd love to connect with others who are in this niche or thinking about getting into it If you're doing this, hit me up!! 😁😁 Thank you!!!
1 like • Apr 15
@Jose Luque Leon Hi! My background is hospitality operations and I'm currently transitioning to an AI career focusing on digitally transforming hospitality businesses. I've been researching the topic for a while and realised that there is huge potential, but there's a reason why the industry is behind others. Firstly, it's a human-centric business, so anything that impacts the way a business operates by effectively using "tech to replace the human" is often met with resistance. For example, automated guest communication may save time, but does it negatively impact brand image and identity? Could it take away the human magic which these establishments create? Hospitality managers may have varied opinions here. But the biggest obstacle in my opinion is hospitality data which is scattered across multiple systems - booking engines, ordering systems, housekeeping platforms, reviews, email, calendar.... the list goes on, I used to use 20+ managing a hotel. For an AI tool to be most effective, it needs to be fed organised, gold-level data which optimises its' recommendations and decision-making. There is a missing data layer, which as far as I know doesn't exist yet, that can facilitate the implementation of AI tools and drastically increase their accuracy. I'm currently working on a project with the goal to build a data product for hospitality businesses. Let me know if you are interested and I'd be happy to discuss :)
90% of hospitality entrepreneurs say: "AI is too complicated for my business."
Meanwhile: - Chipotle runs their entire planning on AI - McDonald's is testing voice-controlled drive-thrus - Domino's lets AI optimize delivery routes These are no longer experiments. This is the new standard. What I notice in conversations with food entrepreneurs: the fear isn't the technology itself. It's the fear of being left behind while others quietly gain an advantage. That fear is valid. But the solution isn't to wait until everyone is doing it. The solution is to start small. One process. One experiment. Learn what works for YOUR business before "best practices" are defined by your competitors. AI in food & hospitality isn't a future trend - it's the playing field where the game is already being played. The question is: where do you stand when the time comes?
90% of hospitality entrepreneurs say: "AI is too complicated for my business."
0 likes • Apr 15
@Frank van Bokhorst I would also argue that hospitality data is a key obstacle in AI adoption. Hotels, restaurants, bars etc, store data scattered across multiple systems making it difficult to connect AI tools effectively. For well-run businesses, they may not consider the benefit worth the investment for now - or maybe more so in certain departments like sales/finance, and less so in operations and guest relations. I believe a data layer created specifically for AI tools and optimised decision-making would significantly increase AI adoption in the hospitality industry... as long as it doesn't drastically change the way they operate and keeps the business human-centric :)
Client questions & concerns
Hi everyone! What are some common points of friction you have noticed when delivering to clients? What are some questions or concerns they may raise before implementing your AI tools into their business? I would think data security is a big one, but I'm sure there are many more... Have a great day, Greg
1 like • Dec '25
@Mathieu Modesto I like this approach - start with "why" rather than "what". Thanks for sharing your thoughts!
0 likes • Dec '25
@Muhammad Ibrahim Arif I agree with add human in the loop in workflows, especially at the beginning this builds trust for those who tend to be more resistant or more cautious. Thanks for your insights!
Are You Auditing Tasks or Auditing Decisions?
Most AI consultants say they audit processes. In reality, they only map tasks. Tasks describe what people do.Decisions explain why things move or stop. When you automate tasks without understanding decisions, you create faster confusion, not leverage. A proper AI audit separates three layers: - Execution: what is being done - Judgment: how choices are made - Authority: who is allowed to decide If you cannot point to where judgment happens, you cannot automate it responsibly.If you ignore authority, you will break accountability. AI is powerful not because it works faster,but because it removes the need to re-decide the same thing every day. Audit decisions first.Tasks will reveal themselves automatically.
Are You Auditing Tasks or Auditing Decisions?
1 like • Dec '25
@Lê Lan Chi What would you consider to be the best approach from an AI consultant to a client with this concept in mind? What are some key questions which focus on decisions specifically?
1 like • Dec '25
@Lê Lan Chi Thanks very much for the tips! I think AI becomes a lot more powerful when you consider it as a tool rather than a thinking replacement. I'll definitely use some of these during my journey 😃
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Gregory Foster
3
18points to level up
@gregory-foster-9787
Hospitality professional. Currently building AI tools and exploring how to leverage big data & AI for businesses.

Active 8d ago
Joined Dec 17, 2025
Lausanne
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