Imagine telling an AI assistant to book four days in Dubai on a $2,000 budget. The assistant researches options, reserves flights and a hotel, hedges currency risk in real time, splits the cost with travel companions, and optimises cashback on every transaction. For millions of working professionals who manage business travel, client events, or team offsites, this scenario is moving from concept to commercial reality - and it addresses a pain point that has long made travel spending a source of anxiety.
"Travel is one of the most complex payment environments any consumer encounters," said Daumantas Grigaravicius, head of Middle East at global payments platform Adyen. "A single trip can involve bookings, purchases and charges across multiple currencies, countries and systems." For most travellers, he added, that complexity stays invisible until something breaks - a card declined because a fraud rule fired in an unfamiliar market, a preferred payment method missing at checkout, or a foreign-currency price that introduces hesitation at the moment of purchase.
Across the industry, AI is being deployed against each of those friction points. Fraud detection, foreign exchange optimisation, real-time budget monitoring, and personalised payment experiences are all being reshaped by machine learning. The pace of change was visible at Arabian Travel Market in Dubai this week, where payments technology drew significant attention on the show floor.
Fraud prevention that learns behaviour over time
Fraud prevention is one area where AI has already delivered measurable results. Travel has been particularly vulnerable because legitimate and fraudulent transactions look almost identical, and static rule systems cannot reliably distinguish between them. Iata has historically estimated losses of at least $1 billion a year to payment fraud, Mr Grigaravicius said.
Adyen replaced the static model with what it calls dynamic identification. "Instead of relying on one-off identity checks that are increasingly easy to fake, our AI-driven risk engine looks at real behaviour over time - how customers and businesses actually transact - and uses that accumulated pattern as the verification layer," he said. When a transaction deviates from a genuine customer's established behaviour, the system flags it. When it fits, it passes. The outcome, he said, is "both less fraud and fewer false declines."
From manual tracking to an automated financial co-pilot
AI is also reshaping what happens before a card leaves a wallet. Abdulhamid Ahmed, founder and technical director of UAE-based fintech Halala Plus, pointed to predictive hedging for individual travellers: platforms use AI to forecast currency fluctuations and advise users on the best time to pay a hotel bill or settle a large purchase. He also highlighted the emergence of invisible checkout, where AI verifies identity biometrically and completes multicurrency payments without presenting a card.
"Smart micro-budgeting engines analyse spending patterns on the fly," Ahmed said. The system alerts users before they overspend or dynamically sets aside micro-savings during a trip. "It essentially acts as an automated financial co-pilot throughout the journey." For operations and sales professionals who juggle multiple expense reports across currencies, this shifts payment from a reactive task to a proactive, automated background experience.
Agentic commerce handles the full transaction loop
At Arabian Travel Market, Trip.com and Mastercard showcased TripGenie, an AI travel assistant. "[It] isn't simply an AI agent generating a list of places to visit," said Siddharth Sudhakar, general manager for Mena at Trip.com. "It is fully connected to the Trip.com ecosystem, so it can help travellers compare options, manage bookings and more. It combines AI with our travel content, destination knowledge and real-time travel inventory to help travellers move from inspiration to a much more actionable plan."
Sudhakar described what comes next as agentic commerce: AI that handles the full transaction loop. Mr Grigaravicius sees the same trajectory leading toward AI agents that manage an entire journey - "from discovery to booking to payment; these are tools that understand context, make decisions and have the autonomy to act on their own." That personalisation compounds with each interaction. An agent carrying a traveller's booking history and past behaviour can optimise across variables that would take a human considerable effort to co-ordinate - preferred airline alliances, specific payment methods, seat and room preferences, even dietary requirements.
It will not take long for this to arrive in the UAE. Research by Salesforce found that 80 per cent of UAE organisations plan to use AI agents by 2027, and the government has announced plans to embed agentic AI across 50 per cent of its services and operations within the next two years. For professionals building skills in this area, AI Agent Courses cover the automation frameworks underpinning these tools, while AI for Finance Courses address the machine learning models behind real-time currency hedging and fraud detection.
Why this matters for customer support, hospitality, marketing, operations, and sales teams
For customer support and hospitality teams, AI-driven payment tools mean fewer declined transactions and faster resolution when travellers hit snags abroad. Marketing professionals gain a new channel for personalised offers that factor in real-time budget and currency data. Operations and sales managers who oversee travel spend can expect automated co-pilots that enforce budget limits, optimise cashback, and remove the manual work of reconciling multicurrency expenses. As Ahmed put it, these tools "completely remove financial anxiety from travel" - a shift that changes both the employee experience and the bottom line.
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