The Data Chain Nobody Talks About Openly
For about 35 years, the Travel Management Company (TMC) has sat at the centre of corporate travel. It books the tickets, manages the policy, handles the disruptions, and most importantly, negotiates the deals. That negotiating power has always rested on one foundation: data.
AI is about to shake that foundation.
The data chain in corporate travel does not start with the booking. With many industry leaders, it starts with the Human Resource Management (HRM) system.
The HRM system feeds the Travel Policy into the Global Distribution System (GDS) company profile. It also feeds the traveller profile into the GDS: the traveller’s job grade, their entitlements, and the policy parameters that govern what their entitlements are.
From there, travellers make their booking through a company Travel Booker to a human agent, a phone call, or a Self-Booking Tool. Each method creates data. The ticket is issued. The TMC back-office debits the corporate credit card, which creates more data. The airline captures the Flown data. The hotel records the stay. The expense system: SAP Concur, or similar, captures what the traveller spent.
Each of these systems holds a piece of the picture. None holds it all. The Travel Management Company’s traditional value has been in pulling those pieces together: through direct relationships with GDSs, airlines, hotel chains, and card companies, and using the combined picture to negotiate better deals for their clients.
It works because of volume. The TMC brings its own aggregate throughput to the table alongside the individual client’s spend. That combined weight is what gives the TMC client account manager real leverage with an airline or hotel chain.
This model has survived every previous wave of disruption. AI may be different.
The Fragmentation Problem
New Distribution Capability (NDC) is already pulling airline content out of the GDS. When an airline sells direct via NDC and bypasses the GDS entirely, that booking may never enter the TMC’s consolidated data view. Multiply that across hotel direct booking platforms, car rental apps, and traveller-initiated AI booking agents, and the TMC’s picture of total spend develops serious gaps.
AI booking agents are already here. Navan, currently the market leader, combines booking, expense management, and corporate cards in a single AI platform. SAP Concur is embedding deeper analytics. Newer entrants like Otto the Agent allow corporate travellers to book entirely through conversational chat, bypassing traditional booking flows. Google Travel and Booking.com are moving aggressively into the corporate segment.
A TMC client account manager walking into a supplier negotiation with incomplete spend data is negotiating blind. Suppliers know this. Fragmenting the data reduces the TMC’s leverage, and some suppliers understand that very well.
AI accelerates this fragmentation; unless the industry moves deliberately to counter it.
The Question Nobody Is Answering
AI systems are already capable of booking travel, managing policy compliance, handling disruptions, and producing spend reports. The platforms building these tools, airlines, hotels, and card companies feeding them data, each has its own commercial interests. Each has an incentive to control what they share and with whom.
So who will give travel managers the complete, verified, multi-source data they need to negotiate effectively?
Right now, that question does not have a clear answer. The GDS players are repositioning. The airlines want direct corporate relationships. The integrated booking platforms are building vertically, keeping data inside their own ecosystems. The corporate card companies hold transaction data that is enormously valuable and are not rushing to give it away.
The client technically owns their own spend data. But ownership and access are not the same thing. A TMC contract that does not explicitly address data portability across all booking channels is a contract written for a world that no longer exists.
Two Futures
The optimistic scenario: AI becomes the travel manager’s most powerful tool. A well-configured AI system aggregates data across every channel: GDS, NDC, direct hotel bookings, expense data, card data, and flown data, and delivers a richer, faster, more accurate picture than was ever possible manually. Supplier negotiations become sharper. Policy compliance improves. The travel management function earns its place by doing more with better information.
The harder scenario: AI bypasses the TMC entirely. The corporate becomes an entity with the right tools. They acquire a capable AI booking agent, direct NDC connections to preferred airlines, a hotel RFP platform, and a smart card with real-time analytics. AI manages their entire travel programme without a TMC in the chain. The AI handles booking, compliance, disruption, and reporting. Supplier negotiations sit with the procurement team. The TMC’s role disappears not through a single dramatic disruption, but through gradual erosion of the problems it was hired to solve.
Both scenarios are plausible. The difference between them is not technology. It is whether the travel industry fights for its position in the data chain, or assumes that position is secure.
What Needs to Happen
Three things matter most in the next 18 months.
First, data ownership must be contractual. Every corporate travel programme needs explicit language covering who owns spend data, in what form, and with what portability rights across all booking channels, not just the GDS.
Second, travel managers need to aggregate across fragmentation. The travel management function that only sees GDS data in a world where a growing proportion of bookings happen outside it is working with a broken compass. Building or connecting tools that pull data from every channel is not optional. It is the core of the job.
Third, the TMC client account manager role must evolve. The CAM of the next five years is not a relationship manager who produces quarterly reports. They are data strategists who read AI-generated analytics critically, spot what the algorithm missed, and walk into a supplier negotiation with an argument the supplier cannot easily dismiss.
The Straight Assessment
The traditional TMC, built around GDS access and back-office processing, faces genuine structural risk. That is not a prediction designed to alarm; it is what the data fragmentation trends, the NDC shift, and the rise of AI booking agents point toward when you follow the logic honestly.
The TMC model has survived by adapting. The GDS revolution changed how bookings were made. The internet changed who made them. AI is raising a harder question: whether the intermediary needs to exist at all, and if so, in what form.
Travel management consultancy: the independent, analytical, client-side function may prove more resilient than the traditional TMC. It is not tied to a GDS. It is not dependent on back-office processing margins. Its value is judgment, strategy, and the ability to read data that others generate. That is precisely what AI cannot yet replace.
The answer is not yet written. But the travel managers and consultancies asking the question now, rather than waiting for the answer to arrive, are the ones most likely to shape it.
