Tourism

AI risk management in tourism

AI risk in tourism is not a technology problem. It is a business problem. The board that understands this manages AI. The board that does not is managed by it.

By Zakir Hoosen, Director, Fuzzelogic Solutions. Board-level guidance in plain English.

Risk is a word every board understands. Financial risk. Operational risk. Regulatory risk. AI risk belongs on the same list, and in tourism it is growing faster than most boards realise.

The difference between AI risk and other risks is that AI risk is often invisible until it has already caused damage. A pricing engine that quietly undercuts your rates for three months. A chatbot that has been giving incorrect information to guests. A recommendation system that has been sending people to the wrong experiences. Each of those costs money and reputation, and the board may not know until a guest complains or a revenue report shows the gap.

What AI risk looks like in tourism

The risks fall into a few categories. Decision risk is the system making a decision that a human should have made. Data risk is the system working with information that is wrong, incomplete, or outdated. Compliance risk is the system doing something that breaks a regulation. Reputational risk is the system doing something that embarrasses the business in front of guests.

In tourism, all four are live. A hotel that lets an AI system set prices is taking decision risk. A tour operator that feeds guest data into a personalisation engine without checking the data quality is taking data risk. A destination company that uses AI to automate marketing without checking whether the messages comply with advertising rules is taking compliance risk. Any business that lets a chatbot interact with guests without oversight is taking reputational risk.

One in five organisations have no governance. That means one in five organisations are running AI without a framework for managing what happens when it goes wrong.

Who is accountable

This is the question boards avoid. When an AI system makes a bad decision, who answers for it? The vendor who built it? The IT team that implemented it? The marketing team that asked for it? The board that approved it?

The answer, in most cases, is that the business is accountable. The guest does not care which team was responsible. They care that the hotel gave them the wrong price, or the tour operator sent them to the wrong place, or the chatbot made a promise that was not kept. The business answers for it.

In my opinion, every tourism board should be able to name the person who is accountable for AI decisions. Not a committee. A person. If something goes wrong with an AI system, that person should be able to explain what happened, why it happened, and what is being done about it. If no one can do that, the business is not managing AI risk. It is hoping AI will not cause a problem.

How to manage it

The approach is not complicated. It is the same approach you would use for any business risk. Identify the risks. Assess the impact. Set the tolerance. Monitor. Respond.

For AI in tourism, that means listing every place in the business where AI makes or influences a decision. Assessing what happens if that decision is wrong. Deciding how much risk the business is willing to accept. Setting up checks to catch problems early. Having a plan for what to do when something goes wrong.

Fuzzelogic uses a framework of five tests to assess whether a business is AI-ready. Risk management is woven through all five.

1. Reachable. Can the data the AI needs actually be found when it needs it?
2. Trustworthy. Do you know the data is accurate, current, and complete?
3. Explainable. Can someone explain why the system made a particular decision?
4. Changeable. Can the system be changed when the business changes?
5. Governed. Has someone decided what the system may and may not do?

The governed test is the risk test. If a business cannot answer what the system may and may not do, it has not assessed the risk.

The cost of ignoring it

Two thirds of AI transformations did not deliver. In my view, a meaningful portion of those failures involved risk that was not identified before the project started. The business did not know what could go wrong, so it did not plan for it. When something did go wrong, there was no response plan. The project collapsed.

What Fuzzelogic does

Fuzzelogic has been modernising systems since 2007 on the Isle of Man. We have seen enough projects succeed and fail to know where the risk lives. Our AI readiness assessment takes two to four weeks, is fixed price, and gives you a clear picture of the risks in your business and what to do about them. You own the verdict and the roadmap whether or not we build any of it.

The tagline matters here. Your systems were built for a world before AI. Most can get there. We tell you which ones cannot. That is risk management. Knowing which systems are safe to change and which ones are not.

The bottom line

AI risk in tourism is real and it is growing. The boards that manage it well will adopt AI faster and with fewer surprises. The boards that ignore it will be the ones explaining to guests, regulators, and shareholders why an AI system made a decision the business cannot defend.

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