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Balancing Tech and Human Touch: How AI Enhances Guest Experiences in Hospitality

AI offers incredible opportunities to boost efficiency, but over-reliance can undermine guest satisfaction. Hotels should use AI strategically to complement human service, ensuring a seamless experience that combines automation with empathy and care.
10/21/2024

The hospitality business is built on personal connection. Guests expect efficiency and a trouble-free experience, but they also insist on personalized, empathetic service. Especially when the inevitable booking or service hiccup happens. 

Artificial intelligence (AI) can streamline and improve many customer service tasks. But relying too heavily on this or any technology can put businesses at risk of creating disconnected customer experiences. Instead, hospitality tech leaders should integrate technology that complements and enhances human roles in guest service. 

It’s particularly critical to get the human-to-tech balance right in hospitality industry contact centers. Like other industries, AI is rapidly transforming hospitality, with nearly two-thirds of travel tech investments in recent years focused on AI and machine learning. So, as hotels leverage AI, they need to focus on how and where it can help optimize the performance of the people who represent the brand. 

Identify the “Why” Behind AI

Before deciding how and where to implement AI, hospitality leaders should ask, “What is our goal?” If there’s not a specific business challenge that the AI is solving, it may be a sign to reconsider. For a successful rollout, start with a problem-first approach. 

For example, if the goal is simply to cut costs by replacing front desk staff, that may lead to adverse effects by creating impersonal guest experiences and reducing booking rates. 

AI can be more helpful for relieving contact center agents of the burden of repetitive tasks. For instance, an AI chatbot could handle FAQs, reservation changes, or other transactional inquiries. That would free human agents to focus on more complex, high-stakes interactions that require flexibility and empathy—things like reversing cancelation or other fees incurred when a guest experiences an illness, accident, or other emergency.

It’s also important to understand how new technology impacts customer service employees. Research from Metrigy underscores the importance of employee buy-in for successful technology adoption. When contact center staff aren’t involved in the decision-making process or don’t see how AI tools support their work, they’ll be less inclined to embrace the change. 

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Engage with Your Teams

A successful AI rollout requires clear, consistent communication. Emphasizing AI’s purpose and how it benefits employees will build confidence and acceptance. If, for instance, an AI tool is being introduced to handle routine guest inquiries, agents should understand that this will help them concentrate on alleviating other, more impactful guest needs. 

Ongoing dialogue is also essential. Open forums and feedback loops allow agents to share their experiences and voice concerns, providing valuable insights that can help refine the AI tool’s use. This two-way communication fosters a culture of trust and collaboration, which is essential when integrating new technology into guest services.

Implement Performance Check-ups

AI is not a "set it and forget it" tool. Hospitality leaders must monitor its impact on both employees and customers. That means regular follow up to ensure that the technology aligns with the goals of supporting staff and improving guest experiences.

Quantitative metrics for contact center agents are equally important. Tracking data like response times, issue resolution rates, and guest satisfaction scores can offer insights into how well the AI solution is performing. But qualitative feedback is also crucial. What kind of feedback are you hearing from employees and guests? Are AI tools making things easier for them, or creating confusion and frustration? 

For example, an AI-powered customer service chatbot might improve efficiency, but if customers express dissatisfaction with the lack of human interaction or limited functionality, adjustments must be made. Whether that means refining the tool’s capabilities, providing additional training, or ensuring that a human backup is available when needed, the goal is for AI to act as a supportive partner to your agents, not as a replacement.

Avoid Over-Reliance on AI and Strive for Balance

For hospitality professionals, it’s tempting to view AI as a catch-all solution for reducing labor costs and optimizing operations. However, over-reliance on automation can have negative effects. Fully automated service can fall short in handling complex guest issues, causing frustration and potentially damaging brand loyalty.

AI offers enormous potential to improve hospitality operations, streamline processes, and enhance guest experiences. But technology should always be integrated in a way that complements the human element of service—the empathy, creativity, and flexibility that only people can provide. By balancing AI with the human touch, hoteliers can get more out of their technology investments, creating a better work environment for agents and delivering efficient, memorable experiences to guests.

The hospitality industry thrives on personal connections and genuine care. Technology should not overshadow that. When implemented thoughtfully, AI can empower employees to focus on high-value interactions and ensure that guests receive both the efficiency of automation and the warmth of human engagement. That’s a balanced formula for long-term business success.

 

 

About the Author

Jennifer Lee has 20 years’ experience in the contact center industry with more than 15 years as a people leader. Throughout her career, Jennifer has served in a variety of roles in the contact center space, including operations, quality, workforce management, and client services. As President and Co-CEO, Jennifer leads the operations and people management of the organization. Prior to this role, Jennifer has served as Chief Operating Officer, Chief Strategy Officer and has led the Customer Success organization.

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