Tourism

AI governance for tourism businesses

Tourism businesses are adopting AI faster than their governance can follow. For a board, that is the real risk, not the technology itself.

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

You do not need to understand how AI works to govern it. You need to understand what it is doing in your business, who decided, and who answers when it goes wrong. That is governance. Most tourism boards do not have it yet.

Tourism is moving quickly. Dynamic pricing, automated customer service, personalised marketing, demand forecasting. Every one of these brings a decision that affects customers, staff, and revenue. Without governance, those decisions happen without board oversight. That is a problem.

What AI governance actually means

AI governance is not a policy document sitting in a shared drive. It is the set of decisions your business has made about where AI is allowed to operate, what it may not touch, and who checks whether those rules are being followed.

In a tourism business, that means answering questions like these. Can the pricing engine change what a customer pays without a human approving it? Can the chatbot make a promise on behalf of the hotel? Can the recommendation engine decide which guests get upgraded and which do not? If the answer to any of those is yes, someone on the board should know.

"21% of organisations have no AI governance at all, and governance and risk is the fastest growing barrier to adoption."

Source: Deloitte, State of AI in the Enterprise

One in five organisations have no governance at all. In tourism, where the customer experience is the product, that is a direct risk to revenue and reputation.

Why tourism boards should care

A tour operator that lets an AI system set prices without oversight will, sooner or later, charge the wrong person the wrong amount at the wrong time. A hotel that lets a chatbot handle complaints without escalation rules will lose a guest it could have saved. A destination management company that feeds guest data into a recommendation engine without checking the data quality will send people to the wrong place.

None of those are technology failures. They are governance failures. The technology did what it was told. Nobody told it what not to do.

In my experience, most tourism boards are not negligent. They simply did not know governance was their responsibility. The IT team or the marketing team brought in a tool, it worked well enough in a demo, and it went live. The board was never asked. That is the gap.

What good governance looks like

Fuzzelogic works with a definition of AI-ready that comes down to five things being true. Governance is the last of the five, but it is the one that holds the others together.

  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?

For a tourism board, the governed question is the one that matters most. It is the difference between a system that helps your business and a system that makes decisions you cannot explain to a guest, a regulator, or a court.

The practical version is simple. Name a person, not a committee, who is responsible for AI decisions. Give that person the authority to stop a system if it is not working. Require a short report at every board meeting on what AI systems are doing, what they cost, and what went wrong. That is governance. It does not need to be complicated.

The 10-20-70 rule

"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: BCG

This matters for governance because it tells you where to look. Most boards focus on the technology. The real governance challenge is the 70%. Who is trained to use these tools? Who checks the output? What happens when the system gives a recommendation that conflicts with your brand values?

How to start

The honest answer is to find out what you already have. Most tourism businesses are running AI tools they do not know about. The booking engine has machine learning in it. The email platform uses AI for subject lines. The revenue management system makes pricing suggestions based on patterns in your data. Each of those is a decision point that should have a governance answer.

Fuzzelogic offers an AI readiness assessment that takes two to four weeks, is fixed price, and gives you the verdict. You own the roadmap whether or not we build any of it.

The bottom line

AI governance for tourism is not about slowing down. It is about knowing what you are doing as you do it. A board that governs AI well can move faster, not slower, because it knows the boundaries. A board that does not govern AI is one bad decision away from a problem it cannot explain.

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.

Get in touch

When you are ready to talk AI, call Fuzzelogic Solutions and ask for Zak.

www.FuzzelogicSolutions.com | info@FuzzelogicSolutions.com | +44 (0)1624 618950