Why CIOs in Travel Cannot Scale AI Without Fixing Their Data First

There is a growing expectation that artificial intelligence will drive the next phase of operational efficiency and competitive advantage in travel, tourism, transport, and marine businesses. However, the reality is that many organisations are attempting to scale AI on top of fragmented, inconsistent, and poorly governed data environments.

The result is predictable. Instead of creating clarity, AI amplifies complexity.

For CIOs operating in multi-entity, acquisition-driven environments, the real priority is not simply adopting new technologies, but strengthening the data foundations that underpin them. Organisations that treat data as a governed business asset, establish clear ownership, and align it to decision-making will be the ones that translate digital ambition into measurable outcomes.

If you sit in the CIO seat today, particularly in a diversified travel and leisure group, you are dealing with a level of operational complexity that most industries do not fully appreciate. Multiple brands, multiple systems, multiple customer touchpoints, and often a history of acquisitions that have introduced different ways of working into the same organisation.

Against that backdrop, there is increasing pressure to move faster, to modernise platforms, to embed AI into operations, and to provide leadership with more immediate and more reliable insight.

The expectation is not unreasonable. What is often underestimated is what it actually takes to deliver on it.

There is a tendency to believe that the introduction of more advanced technology will resolve underlying inefficiencies. In practice, it does the opposite. Technology, particularly AI, is an amplifier. It takes whatever exists within the organisation and scales it. If the foundation is strong, the results can be significant. If the foundation is fragmented, the organisation simply becomes faster at producing inconsistent outcomes.

This is where the conversation needs to become more direct.

In many travel and leisure organisations, the core challenge is not a lack of capability. It is a lack of alignment. Customer data exists in multiple forms across different systems. Supplier information is not consistently structured. Products, services, routes, and experiences are defined differently across business units. Each of these issues may seem manageable in isolation, but collectively they create a level of friction that limits the organisation’s ability to operate as a cohesive whole.

The customer, of course, sees none of this. The expectation is a seamless experience, regardless of how many systems or teams sit behind it. When the data does not support that expectation, the impact is immediate. Service becomes reactive rather than proactive. Personalisation becomes generic. Decision-making becomes slower because time is spent reconciling information rather than acting on it.

What is often overlooked is that these are not technology issues in the first instance. They are business issues that surface through technology. The definition of a customer, the classification of a supplier, the structure of a service offering, and the ownership of that information are fundamentally business decisions. When those decisions are not clearly made or consistently applied, no platform, regardless of how modern, can compensate for that lack of clarity.

This is why so many modernisation programmes struggle to deliver their intended value. Significant investment is made in cloud platforms and new systems, yet the organisation finds itself dealing with the same underlying challenges. The environment becomes more advanced, but not necessarily more coherent. From a CIO perspective, this creates a disconnect between investment and outcome that is difficult to justify.

At the same time, there is a clear shift towards real-time decision-making. Leadership teams are no longer satisfied with retrospective reporting. They want to understand what is happening now and what is likely to happen next. This is where the idea of data as a strategic asset becomes meaningful, but only if that data is trusted.

Real-time insight built on inconsistent data does not create confidence. It creates doubt at speed. The conversation quickly shifts from what action should be taken to which version of the truth is correct. That is not a position any executive team wants to be in, particularly in an environment where responsiveness is becoming a competitive requirement.

There is also a deeper connection between data discipline and risk that deserves more attention. In complex, distributed operating environments, visibility is critical. When data is fragmented and ownership is unclear, it becomes more difficult to understand the organisation in its entirety. This affects not only operational efficiency, but also the ability to manage risk, ensure compliance, and respond to emerging threats. Strengthening data governance is therefore not just an operational priority, but a strategic one.

For organisations that have grown through acquisitions, this becomes even more relevant. Each acquisition introduces its own structures, definitions, and systems. Without a deliberate approach to harmonisation, complexity compounds over time. Integration becomes slower, reporting becomes less reliable, and the expected value from growth is diluted. This is where master data management becomes a control mechanism rather than a technical exercise. It provides the structure needed to align the organisation and support both integration and scale.

When you consider all of this, the role of the CIO begins to shift. It is no longer sufficient to focus on systems and infrastructure alone. The role increasingly requires enabling the business to operate with a higher degree of clarity and consistency. That means engaging more directly with how data is defined, owned, and governed across the organisation.

The organisations that are making meaningful progress are those that have recognised this. They have moved beyond viewing data as a by-product of systems and have started to treat it as a core business asset. They have established ownership, implemented governance, and aligned data to the decisions that matter most. As a result, when they introduce AI and advanced analytics, those capabilities enhance the organisation rather than expose its weaknesses.

This is where decision intelligence becomes particularly relevant. It is not about producing more reports or dashboards. It is about ensuring that decisions are informed by data that is accurate, consistent, and contextually relevant. In industries where timing, coordination, and customer experience are critical, the ability to make better decisions earlier can have a significant impact on performance.

Looking ahead, it is clear that AI will become increasingly embedded in business operations, and expectations around speed and insight will continue to rise. The organisations that will benefit most are not those that move the fastest in adopting new technologies, but those that are most deliberate in strengthening the foundations that those technologies depend on.

For CIOs in travel, tourism, transport, and marine businesses, the implication is straightforward. The question is not whether to invest in AI, cloud, or modern platforms. The question is whether the organisation is structurally prepared to support them.

Because in the end, competitive advantage will not come from technology alone. It will come from the ability to operate with clarity, consistency, and confidence in an increasingly complex environment.

And that begins, more often than not, with fixing the data.

Call to Action

If this reflects the challenges you are seeing in your own environment, it may be time to take a closer look at the data foundations underpinning your strategy.

Connect with Thiru Pillay, CEO of Emergent Africa, to explore how decision intelligence and master data management can enable more consistent, scalable, and measurable outco