Seba BlancoI help independent hotels sell more effectively and operate smarter by combining hotel technology with sales and marketing.
Do not index
Do not index
Almost every conversation about AI in hospitality happens in marketing. Chatbots on the website, personalised offers, smarter ads, AI-generated captions for Instagram.
That's the part you can screenshot. It's also the part that changes the least.
The real shift is happening in operations , training, decision-making, daily processes, consistency across shifts. Nobody photographs that layer. But it's where the gap between a well-run 20-room hotel and a chaotic one actually lives, and it's where AI is quietly doing the most useful work right now.
Your hotel's knowledge lives in three people's heads
For years, operational knowledge in independent hotels has lived in two places: the heads of a few experienced staff, and a binder nobody opened after week one.
New hires learn by watching, by asking, by repeating the mistakes their predecessors already made. Quality depends on who happens to be on shift.
You've seen the symptom. A guest gets a perfect answer on Tuesday afternoon and a shrug on Sunday night. Same hotel, same standards on paper, different person at the desk.
That isn't a training problem you can fix with a better induction. It's a retrieval problem. The knowledge exists , it just isn't available at 2am to the person who needs it.
The industry adopted AI without deciding what it's for
Wyndham's second annual Owner Trends Report, published in January 2026 and drawn from a survey of hundreds of owners and developers across the US, Canada and the Caribbean, puts numbers on this.
98% of hotel owners say they've begun incorporating AI. Only 32% say it's embedded across most of their operations. And 73% want to do more but feel overwhelmed and unsure where to start.
Look at what they're actually using it for: 64% cite operational efficiency — the most common application by a distance, ahead of energy efficiency (54%) and revenue optimisation (53%). Guest-facing marketing doesn't lead that list.
So adoption isn't the bottleneck. Direction is. Most hotels have bought tools without deciding which problem they're solving.
Independents can move faster here, and mostly don't
Large groups run many small pilots at once, because that's how big organisations de-risk. It also means nothing gets deep enough to matter. In the same report, 40% of owners named integration with legacy systems as a barrier.
You don't have that problem. You have a PMS, a channel manager, WhatsApp, and maybe Notion. That's an advantage, not a limitation.
So pick one operational problem and solve it properly. The obvious first candidate is an internal assistant that knows how your hotel actually works.
Concretely: take what you've already written down. SOPs, the check-out procedure, supplier contacts, the allergy protocol, the wifi troubleshooting steps, the "what to do when the boiler shows E4" answer that currently lives only in your maintenance guy's head. Put it in one Notion database. Connect it to Claude and route it through WhatsApp with Make.com.
Now your night auditor asks a question at 2am and gets the answer your fifteen-year veteran would give. Nobody gets woken up. And the answer is the same on Sunday as it was on Tuesday.
That's a weekend of setup, not a transformation project.
The common mistake: building the guest-facing thing first
Most hotels start with the website chatbot, because it's visible and it feels like progress.
It's the harder problem and the smaller payoff. A guest-facing bot handles unpredictable questions from strangers, in public, with your reputation attached. An internal assistant handles predictable questions from your own team, where a wrong answer costs a follow-up question instead of a one-star review.
Build internal first. It also becomes the knowledge base your guest-facing tool will need anyway.
Introduce it as relief, not as a threat
None of this survives contact with a team that thinks it's being replaced.
Framing matters more than the tool. AI presented as an efficiency programme creates quiet resistance — people stop feeding it, stop correcting it, and it decays into a wrong answer machine within a month. AI presented as "you'll stop getting phoned at midnight" gets adopted without anyone announcing it.
The Wyndham data shows the same instinct at ownership level: only 40% are comfortable with AI making operating decisions without human oversight, while 57% want a human in the loop. Your staff feel that too. Build something that answers, not something that decides.
Start with the shift where the knowledge gap hurts most — usually night audit, or a newly promoted housekeeping lead — and let them tell you what's missing.
The takeaway
Marketing will keep getting the attention, because it's the part everyone can see. But the hotels that genuinely change over the next two years won't be the ones with the best AI-written Instagram captions. They'll be the ones that quietly rebuilt how decisions get made and how knowledge moves between shifts.
Pick the question your team asks most often at the worst possible hour. Write the answer down properly. That's step one, and it doesn't require any software at all.
Building something similar at your property? Reply and tell me which question your night shift asks most — I'm collecting the good ones.
Written by
Seba Blanco
I help independent hotels sell more effectively and operate smarter by combining hotel technology with sales and marketing.