TravelMole

Acai, a company streamlining complex travel management with AI-driven solutions, has partnered with Lumo, an aviation technology company using advanced algorithms to assess the risk of flight disruptions before they happen.

The task of Acai and Lumo is to reshape the travel management companies’ (TMCs) landscape as travel disruption is no longer the exception. It has even become the norm. A recent research from Perk shows that nearly nine in ten business travelers experienced some form of disruption over the past year, from delays and cancellations to missed connections.

The consequences go far beyond inconvenience, driving up travel costs, reducing productivity, and adding stress to already demanding itineraries. Perk mentioned in its report that U.S. companies spend over $17 billion a year when their employees’ business trips don’t go to plan.

For travel management companies (TMCs), the impact is even more significant. Rising disruption levels translate into higher service volumes, more complex itineraries to manage, and growing pressure on advisors to respond instantly. Yet many operations are still structured around reactive models, struggling to keep pace with real-time demand.

By combining predictive intelligence with AI-driven execution, the two companies are enabling TMCs to move from reactive servicing to proactive disruption management. World Travel Inc. is the first to deploy the joint solution, offering a glimpse into how this approach works in live operations.

The core challenge during disruption is not a lack of data—it is prioritization. When multiple flights are delayed or canceled, every case appears urgent. Advisors must quickly determine which travelers are truly at risk, which itineraries require immediate action, and which solutions comply with airline fare rules and policies. Without clear prioritization, high-impact cases can be delayed while lower-risk issues consume valuable time.

Analyzing disruptions and producing solutions

Lumo addresses this by analyzing real-time and historical data—including weather patterns, air traffic, and network conditions—to predict potential disruptions before they occur. Acai’s AI Travel Agent then turns those insights into action. It can automatically identify impacted itineraries, prioritize high-risk travelers, interpret fare rules, apply waiver codes, and execute rebookings or cancellations. At the same time, it communicates proactively with travelers, often before they even realize there is an issue.

Crucially, all of this happens within the systems TMCs already use, eliminating the need for new platforms or workflows. The result is faster response times, earlier intervention, and a more seamless traveler experience.

Communication also plays a central role. Disruption is as much about information as it is about operations. While digital channels continue to grow, phone support remains the preferred option during high-stress situations. Acai’s AI integrates across email, SMS, chat, and voice, ensuring travelers can engage through their channel of choice while the system manages triage and execution behind the scenes.

For TMCs, the benefits are clear. AI-powered disruption management reduces handling times, improves prioritization, and allows teams to maintain service quality without scaling headcount. As disruption becomes more frequent and complex, this shift from prediction alone to actionable intelligence is setting a new industry standard.