Tourism
Agentic AI in tourism
Agentic AI can make decisions without a human in the loop. For tourism, that is both the opportunity and the risk, and boards need to understand both.
There is a new term doing the rounds in boardrooms. Agentic AI. It means AI systems that do not just answer questions. They take actions. They book things, adjust things, send things, without waiting for a human to press the button.
In tourism, that sounds attractive. An AI that adjusts pricing in real time without someone watching the screen. A chatbot that resolves a complaint end to end, not just answers the first question. A system that reassigns rooms when a cancellation comes in, without waking up the night manager. The appeal is obvious. The risk is less obvious, and it is the risk that boards should understand before they buy.
What agentic AI actually is
The simplest way to understand it is this. Traditional AI gives you a recommendation. Agentic AI makes a decision. The difference is who acts. With traditional AI, a human reviews the output and decides what to do. With agentic AI, the system decides and acts.
For a hotel, that might mean a pricing engine that changes rates ten times a day without human approval. For a tour operator, it might mean a system that rebooks guests automatically when a flight is cancelled. For a destination marketing organisation, it might mean a system that sends personalised offers to past guests based on their behaviour, without anyone reviewing the message.
Each of those is useful. Each of those is also a point where something can go wrong without anyone noticing until it has already cost money or reputation.
Why the caution matters
"40% of enterprise agentic AI projects are expected to be cancelled by the end of 2027."
Source: GartnerThat is a striking number. Four in ten projects will not make it. Not because the technology does not work. Because the business was not ready for what it actually means to let a system act on its own.
In my experience, the projects that fail are the ones where the business did not set boundaries before the system went live. The chatbot that was supposed to handle simple queries started handling complex ones. The pricing engine that was supposed to make small adjustments started making large ones. The automation that was supposed to support staff started replacing decisions that staff should have been making.
None of those are technology failures. They are governance failures. The system did what it was designed to do. Nobody designed the limits.
What tourism boards should ask
The questions are straightforward. What can this system do without a human approving it? What happens when it gets it wrong? Who is alerted? What is the automatic response? Can the system be shut off immediately if it starts behaving in a way the business did not expect?
If a vendor cannot answer those questions clearly, the project is not ready for board approval. Agentic AI without governance is automation without a safety net.
The 10-20-70 rule applies here too
"The 10-20-70 rule: 10% of the effort goes to the algorithm, 20% to the data and technology, and 70% to people and processes."
Source: BCGWith agentic AI, the 70% becomes even more important. The system acts on its own. That means the people who set the rules, the processes that define what it can do, and the governance that checks whether it is still behaving correctly are the critical parts. The algorithm is the easy bit.
For tourism boards, the question is not whether the technology is impressive. It is whether the people and processes are in place to manage a system that does not wait for permission.
Where tourism can use it well
Agentic AI works well in tourism when the decisions are low risk and high volume. Adjusting a price by a small amount based on demand. Sending a follow-up email after a stay. Routing a maintenance request to the right team. These are decisions where a mistake is cheap to fix and the volume is too high for humans to do efficiently.
It works less well when the decisions are high stakes. Upgrading a guest. Handling a complaint about safety. Making a promise on behalf of the business. These are decisions where a mistake costs more than the efficiency saves.
What Fuzzelogic thinks
Fuzzelogic has been modernising systems since 2007 on the Isle of Man. We have seen enough technology cycles to know that the pattern repeats. The technology is genuinely useful. The business rushes to adopt it. The governance lags behind. The failures are not in the technology. They are in the process around it.
Our AI readiness assessment takes two to four weeks, is fixed price, and gives you a clear picture of whether your business is ready for agentic AI and where the boundaries should be. You own the verdict and the roadmap whether or not we build any of it.
The bottom line
Agentic AI in tourism is real and it is coming fast. The boards that benefit will be the ones that set clear boundaries before the system goes live. The boards that get hurt will be the ones that let the technology run ahead of the governance. Understanding what agentic AI can and cannot do without a human in the loop is the first step to getting it right.
Start with the assessment. Two to four weeks, fixed price, and you own the verdict and the roadmap whether or not we build any of it. When you are ready to talk AI, call Fuzzelogic Solutions and ask for Zak. www.FuzzelogicSolutions.com | info@FuzzelogicSolutions.com | +44 (0)1624 618950
Start with the assessment
Two to four weeks, fixed price, and you own the verdict and the roadmap whether or not we build any of it.
When you are ready to talk AI, call Fuzzelogic Solutions and ask for Zak.
www.FuzzelogicSolutions.com | info@FuzzelogicSolutions.com | +44 (0)1624 618950