
aviation,
travel,
CX,
Agentic AI,
Generative AI,
AI,
agent training,
AI translation,
crisis management,
customer journey,
Published on Mon Dec 15 2025
Updated on Mon Dec 15 2025
3 minute read
In mapping the shifts and operational secrets shaping aviation’s future, I have previously written about how, with a strong, modular foundation, Gen AI will enable hyper-personalisation in retailing. But streamlining and scaling bespoke business as usual is far from this technology’s only application. Consider, for example, a crisis situation that’s both chaotic and common: what happens when disruption hits, anxiety is high, and your traveller's native language is not English?
From real-time translation for flawless communication to instant problem-solving, AI-driven tools are poised to restore order in seconds. Soon, you’ll no longer need to imagine yourself working in a world where the right information is automatically populating your CRM system without any manual effort. This is the reality that AI is building. Dive in to discover how both generative and agentic technologies are redefining aviation and travel and resolving some of the industry’s most critical challenges.
Both since and during the pandemic, the travel industry has struggled to attract, recruit, and retain talent, with experienced agents moving to new industries. For airlines, this is more than an inconvenience. It’s a matter of existential importance. Sourcing - and training and developing agents across the diverse soft and hard skills required - is crucial for companies to operate.
This is where generative AI immediately removes a core barrier to talent acquisition, expanding the candidate pool exponentially by providing a powerful solution: instant, accurate language translation. This not only alleviates an industrywide HR crisis - it fosters customer success in sensitive moments. Consider:
Overall, these LLM-based tools give airlines the opportunity to hire the best support the globe has to offer, focusing on critical aptitudes like people skills and problem-solving, to train them rapidly and realistically with interactive simulation-based Agent Development Accelerators, and to preserve time and effort for the most pressing and complex cases. All this and more without a single customer lost in translation. But there’s another name in the game when it comes to AI-powered tools: agentic. What’s the difference - and what promise does it hold for aviation?
Aviation’s major players confirm that we are already looking beyond generative applications, like translation, toward incorporating agentic AI. Unlike response-generating tools, these specialised models operate as collaborative agents, taking tech-powered customer support to the next level.
It’s not a matter of replacing human agents, however - or even the genAI suite that empowers them. Aviation’s agentic AI copilots are best employed as part of a multi-layered system. Consider how each element works in unison to create truly robust crisis management. For instance, during a massive weather-related delay:
That’s how generative and agentic AI empower your operations team to excel at scale. An integrated approach not only streamlines every aspect of aviation operations and CX. It also enables ongoing optimisation, consolidating different information systems in one central location for easy collaboration and reporting - a recipe for maintaining a competitive edge through innovation and growth.
Generative AI, agentic AI, and human talent: by combining these into a “copilot" environment, aviation CX experts are not only solving a language problem; we are creating truly brilliant and resilient systems that resolve multiple industry crises simultaneously. While genAI breaks the language barrier and alleviates the talent shortage, agentic AI transforms human agents into ultimate superagents that secure exceptional traveller experiences even in the most turbulent times.
Ready to lead on efficiency, scale, and loyalty in aviation’s ambitious new era? Contact us to find out more about how partnering with Transcom gives you the edge.

Created at Thu Sep 17 2026
6 min read
Something happens when a technology concept outpaces the terminology we have to describe it. Across the customer experience landscape, vendors start applying the same label to wildly different things. For instance, industry leaders start buying into the AI label instead of its real operational capability. And somewhere between the pitch deck and the production environment, the real question gets lost: does any of this actually address a real operational need? Agentic AI has reached that stage.

Created at Fri Sep 11 2026
3 min read
This is an interesting thought experiment that is worth exploring for anyone involved in buying or selling enterprise services. Think about two companies in your industry that essentially offer the same services, but in an entirely different way. Banking is a good example. There are several European banks that have been continuously operating for almost 300 years. You can imagine how some of these bank branches look. I

Created at Fri Sep 11 2026
16 min read
When a single negative interaction sends more than 50% of customers to a competitor, CX is make-or-break for every brand. From goal and lever metrics to leading and lagging indicators, experience stats like customer satisfaction (CSAT) and net promoter score (NPS) to efficiency measures like average resolution time, team health factors, and even AI-powered customer service KPIs, learn everything you need to track to assess your customer