The travel industry is witnessing a significant shift in how customer service operates, with HBX Group introducing an artificial intelligence-powered voice channel that promises to change the way travelers receive support. In partnership with Ayesa, a global technology and engineering services provider, this development marks the completion of an omnichannel customer service strategy that now covers chat, email, helpdesk, and telephone support.
Moving Beyond Traditional Phone Menus
Anyone who has navigated through endless automated phone menus knows the frustration of pressing buttons, waiting on hold, and repeating information multiple times. HBX Group’s new system eliminates this experience entirely. When customers call, they’re greeted with a simple question: “How can I help you with this booking?” From that point forward, they can speak naturally, explaining their needs in their own words rather than selecting from predetermined options.
This approach represents a departure from conventional interactive voice response (IVR) systems that have dominated customer service for decades. Instead of forcing callers into rigid pathways, the AI-powered channel interprets natural language and understands caller intent, creating an experience that feels closer to speaking with a knowledgeable person than interacting with a machine.
The Technology Powering the System
Built on Google Cloud’s Contact Center AI platform, the solution incorporates several advanced technologies working in concert. Dialogflow handles the virtual agent capabilities, while Google Cloud’s Gemini generative AI models process and respond to customer queries. The system can eliminate background noise during calls and transcribe conversations with high accuracy, ensuring clear communication regardless of the caller’s environment.
Ayesa’s AI – Data & Digital Experience division led the development, integrating these components into a cohesive platform that maintains conversational flow. The technology doesn’t just recognize words; it interprets meaning, context, and intent, allowing for more sophisticated responses than keyword-matching systems of the past.
What Travelers Can Expect
For customers reaching out for support, the experience becomes notably more efficient. The system can immediately handle routine requests such as booking reconfirmations, with more than 30% of calls resolved without any human intervention required. This means faster solutions for straightforward issues, with no waiting in queue for an available agent.
When situations require human expertise, the transition happens intelligently. The AI identifies the nature of the problem and routes the call to the appropriate team. What’s more valuable is that it provides agents with a complete transcript of the conversation, eliminating the need for customers to repeat their entire story. This handoff process saves time and reduces the frustration that typically accompanies being transferred between departments.
Benefits for Both Sides of the Call
The dual advantage of this system becomes apparent when examining its impact on both customers and operations. Travelers benefit from reduced wait times, the ability to communicate naturally without navigating complex menus, and either immediate resolution or a smooth connection to the right specialist. The elimination of repetition—a common complaint in customer service—addresses a significant pain point in the travel booking experience.
From an operational perspective, HBX Group gains increased efficiency by automating high-volume, low-complexity queries. This automation frees customer service agents to focus on cases that genuinely require human judgment and expertise. The result is a more satisfying work environment for agents and improved service quality for complex issues that demand personalized attention.
Industry Context and Timing
The travel sector has been exploring AI applications across various touchpoints, from booking assistance to personalized recommendations. However, voice support has remained relatively unchanged, with many companies still relying on menu-based systems that were designed decades ago. HBX Group’s implementation positions the company ahead of competitors who continue using traditional phone support infrastructure.
Xabier Zabala, Chief Operations Officer at HBX Group, emphasized that the launch represents more than just technology adoption. It demonstrates the company’s commitment to modernizing customer interactions while maintaining the importance of human expertise where it matters most. The approach balances automation with accessibility, ensuring that technology serves the customer rather than creating additional barriers.
Implementation Strategy
The rollout began in September 2025 and follows a measured approach, with a phased implementation across different markets and call volumes continuing through November. This gradual expansion allows for monitoring and optimization at each stage, with close attention paid to key metrics including AI accuracy, customer satisfaction scores, and containment rates—the percentage of calls resolved without agent intervention.
Victor Fernandez, Director of AI – Data & Digital Experience at Ayesa, described the project as a realization of unified, frictionless customer experience. The careful orchestration of multiple technologies into a single, coherent system required coordination across complex technological ecosystems, demonstrating capabilities that extend beyond simply implementing off-the-shelf solutions.
Looking at the Broader Picture
This development arrives at a time when customer expectations for support are evolving rapidly. Modern consumers expect instant access to information and quick resolution of issues, particularly in travel contexts where time sensitivity is often a factor. The ability to call a support line and immediately articulate a problem without navigating through layers of menus meets these expectations while maintaining the personal touch that phone support traditionally offered.
The integration of AI across all customer service channels at HBX Group creates consistency in the support experience, whether a traveler prefers to communicate via chat, email, helpdesk, or phone. This omnichannel approach acknowledges that different situations call for different communication methods, and ensures quality service regardless of the channel chosen.
As the travel industry continues adapting to changing customer behaviors and technological possibilities, initiatives like this voice channel represent a practical application of AI that directly addresses real customer pain points. The success of this implementation may well influence how other travel companies approach their own customer service modernization efforts in the months and years ahead.
