What Artificial Intelligence in Business Travel Means for Your Program

Traditional booking tools put the burden on travelers to manually filter options against policy, compare prices, and verify compliance, which can result in out-of-policy bookings that require correction afterwards. AI helps reduce these hindrances by analyzing traveler preferences, real-time pricing, and policy requirements simultaneously.

“AI can streamline trip planning by organizing complex itineraries, surfacing optimal flight options, and helping travelers quickly compare choices based on preferences like cost, timing, and flexibility,” says Stephen Russell, Senior Director of Integrated Commercial Solutions at The Travel Team.

The Travel Team uses SAP Concur Travel, which has AI integrated throughout the platform. SAP Concur’s Joule AI assistant connects personalized itinerary recommendations directly to a company’s policy and budget parameters, and travelers can search, book, and manage trips through a conversational chat interface rather than a traditional booking flow. Expanded NDC fare visibility also means travelers see more complete and accurate fare options when booking.

Many AI tools draw on each traveler’s history and behavior, speeding up planning and booking processes and minimizing back and forth by learning preferences over time. Pre-trip cost estimates also afford managers greater visibility into what a trip will cost before approval, rather than after the fact. For programs managing multiple travelers at once, AI can coordinate complex multi-person itineraries simultaneously, recommending options based on schedule alignment, cost, and policy compliance.

Expense reporting is a cumbersome, yet vital, aspect of business travel. A single expense report takes time to prepare manually; multiply that across an entire organization, and the administrative burden compounds.

AI tools cut this task time down considerably by automating receipt matching and expense report creation. SAP Concur’s Joule expense automation agent takes this further by auto-creating and populating expense reports, while the pre-submit audit agent flags any issues before a report is even submitted.

On the compliance side, AI-based rule creation tools embed policy directly into the booking and expense process rather than a document that travelers are expected to consult on their own. SAP Concur’s receipt verification also uses AI to detect fraudulent or AI-generated receipts before they reach an auditor.

As AI takes on more of the operational workload, travel managers are able to shift their focus toward higher-value priorities like supplier negotiations and program optimization. AI-assisted reporting gives managers access to richer, more actionable data than a standard expense summary.

Rather than relying on periodic manual reviews, AI can continuously identify spend trends, compliance gaps, and high-risk areas from actual spending data. SAP Concur’s reporting tools support this by helping managers move from reactive oversight to proactive policy management, surfacing patterns and friction points before they develop into larger compliance issues. Benchmarked insights also give travel managers a stronger foundation for supplier negotiations and more informed decisions about how to optimize the program over time.

Even carefully planned trips can run into trouble, especially due to factors outside of travel manager’s or business traveler’s control. How quickly travelers and managers can respond to disruption often determines how much it really impacts the trip.

“Tools like our TTT Mobile app, including Lumo predictive delay, proactively alert travelers to potential delays before they happen, giving them more time to adjust plans and avoid stress,” Stephen shares.

SAP Concur Travel adds another layer here, alerting travelers to rail alternatives on relevant routes and allowing flight changes up to four hours before departure, down from the previous 48-hour window. The earlier these alerts come, the more options are available and the less scrambling is required when plans change.

By taking over simpler, repetitive tasks, AI frees up travel management company advisors to focus on the higher-value work that requires human judgment. That distinction becomes most clear when something goes wrong. AI handles routine bookings well, but real-time disruption response requires empathy, nuance, and problem-solving that no automated tool can replicate. The value of a skilled travel agent is most apparent when a trip falls apart and someone needs to step in, assess the situation, and find a solution quickly.