How AI is transforming travel and expense management
By Eric Ediger, CTM Global Head of Automation and Machine Learning
Everywhere you turn, someone’s promising ‘plug-and-play AI’ for travel and expense (T&E). It sounds great: instant automation, zero effort and limitless efficiency. But the reality is a bit more nuanced.
I’ve seen where AI genuinely delivers value today, and where it still needs human help and smarter integration to really shine.
What AI can automate in travel expense management today?
AI has become exceptionally good at taking on high-volume, rules-based tasks; the repetitive work that eats up time but doesn’t need creative thinking. In the travel and expense (T&E) space, it includes things like:
- trip search assistance and itinerary changes
- policy checks and unused-ticket application
- simple invoice quality assurance
- routing service requests to the right agent or teammate
The real power comes when these automations connect across booking tools, traveler profiles, content sources, and service channels. That’s when travelers get fast, context-aware help without jumping between systems.
Where AI still falls short is in the ‘plug-and-play’ promise. When data is fragmented, or policy logic lives in multiple places, AI can’t perform magic. Better integration unlocks automation; good governance keeps it safe. The reverse rarely works, no matter how clever the model.
How do I choose my AI approach? Build, buy, or blend?
A common question from travel managers is whether to build internal AI capabilities or rely on their travel advisors, online booking tool or expense platform to embed AI into their travel expense management workflow.
For most organizations, using supplier-embedded AI is the fastest, lowest-risk approach. It leverages existing integrations, workflows and SLAs, delivering quick value without major internal investment.
Where “build” becomes valuable is at the personalization layer:
- program-specific rules
- tailored approval logic
- customized prompts
- unique data models
The most effective strategy is often a hybrid model – supplier AI for scale and safety, combined with a light internal layer that aligns outcomes to your unique business context.
How is AI shifting travel expense management from reactive to proactive?
The industry is moving quickly from traditional, reactive expense reporting to real-time, proactive spend management.
AI can now:
- auto-match receipts
- classify spend instantly
- flag anomalies as they occur
- identify policy breaches mid-trip
- adjust itineraries based on real-time changes
Imagine travelers being nudged when a meal exceeds per-diem, or an unused ticket being automatically applied before checkout. This next chapter of travel expense management reduces administrative effort while creating a smoother, more intuitive traveler experience.
How important will governance be for responsible AI in travel expense management?
As automation scales, governance becomes critical. The most advanced programs I’ve seen operate from a simple playbook:
- Data discipline. Protect personally identifiable information (PII), maintain clear lineage, and restrict what models can access.
- Human oversight. Keep a human-in-the-loop for actions tied to policy, duty of care, or financial spend.
- Transparency. Log prompts, responses, and outcomes so finance and compliance teams can audit.
- Continuous evaluation. Don’t just test AI once, measure performance against your travel policy and data over time.
AI will keep evolving, but the principles don’t change. Start small, build trust, and keep humans firmly in control.
AI isn’t here to replace humans; it’s here to give them superpowers. The teams that lean into automation thoughtfully, with the right guardrails, will move from managing travel to mastering it.
