If we reduce the goal of any hotel or hospitality brand down to a singular, core mission, it is this: Delight every guest that steps into the lobby. However, this task becomes exponentially more difficult when hotels fail to innovate and adopt new processes and technology that were built specifically with the guest journey—and evolving guest preferences—in mind.
This has long been a criticism facing our industry; for many years, hotels favored legacy workflows simply because it was what they knew, and a process overhaul felt daunting. But in today’s landscape, it is well understood that building and maintaining a successful hospitality brand requires leaders to keep their finger firmly on the pulse of industry trends. And right now, the most influential (guest-driven) trends are all circling the same catalyst: artificial intelligence (AI).
While this marks an important moment in time for hospitality—trading the old guard for a more predictive, personalized way of serving guests and empowering staff—it also ushers in a distinct “keeping up with the Joneses” effect. Suddenly, there is immense pressure to acquire AI solutions immediately, often causing leaders to rush into implementation before laying the proper groundwork.
Blind adoption of any solution or process offers a cautionary tale. When we are considering the implementation of AI across hospitality, it’s important to not only examine how a given tool will (practically) fit within your organization, but to zoom out and consider whether your underlying foundation is actually ready to embrace such a fundamental shift. A rush to adopt before laying the necessary groundwork and establishing a clear strategy may leave you managing a costly distraction rather than a strategic asset.
To help take the pressure off and ensure you are building on solid ground, here are 7 non-technical things to consider before stepping into the world of AI.
1. Define the "why" before the "what"
This is, perhaps, the most important piece of advice I can give any hospitality leader. Adopting technology before you get clear on what technology your business actually needs most is akin to putting the cart before the horse.
Before looking at software, hoteliers must identify their actual pain points. Are you trying to reduce front desk lines? Optimize room pricing? Empower housekeeping? Sometimes, the most impactful AI solution is not the most “cutting-edge” one, but rather, the quietly powerful system that works in the background to solve a specific operational or guest-facing problem.
2. Ensure your data is ready to be consumed
AI tools are incredibly capable, but it’s important to understand that AI is only as smart as the information it is fed. If your data is siloed—meaning your property management system (PMS), point-of-sale (POS), and loyalty programs don't "talk" to each other—an AI tool will only unlock a fragmented view of your guest. AI cannot solve for fragmentation if it does not have a clean, holistic data pool to pull from.
Before evaluating any new AI tools, take a closer look at your current tech stack and ask: Do we have a single source of truth for our guest profiles? Prioritizing platforms that natively integrate and share data is the most critical groundwork you can lay before bringing AI into the fold.
3. Assessing cultural readiness and team buy-in
As AI becomes a more prominent focal point across industries (and more firmly entrenched in our lives), an undercurrent of anxiety has revealed itself. AI tools are operated by humans, but in the mad dash for adoption, the cultural sentiment around AI has become weighted with the question, “Will we get replaced by AI?”.
Before investing in AI tools, hospitality leaders need to reassure their staff that AI is a tool for empowerment—not a means of replacement. By shifting the narrative around AI, hospitality leaders can ensure their team is ready and willing to implement (and maximize the potential of) new tools.
4. Understanding the AI infrastructure of your tech partners
When you adopt a new tool, you aren’t just buying a product—you’re beginning a partnership. Right now, the hospitality tech space is currently flooded with vendors slapping "AI" onto old software. As you can surely guess, this can lead to strained partnerships built atop hollow promises and expensive investments that fail to deliver meaningful returns.
Before deciding on your next AI investment, you must ask strategic questions of your vendors: Is AI built natively into your foundation, or is it just a bolted-on afterthought? What is your long-term roadmap for this technology? Aligning with a vendor that has a mature, purpose-built AI ecosystem removes the burden of you having to figure it all out yourself.
5. Developing a framework for guest trust and privacy
Hospitality is a data-rich industry, which is precisely the fuel that hyper-personalization requires. However, as much as guests crave personalization, they also expect privacy.
As AI-driven personalization becomes the norm, hospitality leaders must strike a fine balance between "intuitive" and "invasive." With this in mind, it’s important for hospitality brands to establish a clear philosophy on how they will use guest data ethically and transparently to build trust (rather than erode it) while enhancing the guest experience.
6. Preserving the "human element" of hospitality
The core value proposition of Infor™ Hospitality Analytics and Insights (HAI) is the automation of more menial tasks and once-cumbersome or fragmented workflows to empower staff to work smarter and focus their attention where it matters most: the guest. Frankly, there is no hospitality without human staff; human connection is one of the defining elements of the hospitality experience.
Even still, a core fear of AI is that it will make hotels feel robotic. To avoid this, hospitality leaders should look to design an AI strategy that protects the human touch. Remember: The goal here is to let AI handle the mundane, invisible tasks (inventory, pricing, messaging automation) so that humans are freed up to handle the meaningful, visible tasks (empathy, connection, service recovery).
7. Managing timelines and ROI expectations
The adoption of AI shouldn’t feel like an arms race, and a tech-driven overhaul can’t happen overnight. True AI transformation is a marathon, not a sprint. Now, more than ever, it is important for leaders to pause, assess, prepare, and then invest—all with realistic expectations for ROI. It takes time for AI models to learn your specific business, and it takes time for staff to adapt. Giving your organization the grace to adopt strategically (rather than quickly) while learning and growing alongside the technology is the best way to relieve the pressure.
Developing a clear technological roadmap and a sustainable, strategic adoption framework shouldn’t feel like a frantic race to the finish line. By taking a step back and evaluating these 7 non-technical pillars—from the readiness of your data to the strength of your vendor partnerships—you transition from a place of pressure to a place of power.
Build the right foundation with Infor Hospitality
The future of hospitality is undeniably influenced by AI, but the brands that will win are the ones that take the time to build a foundation strong enough to support it.
When you are ready to bridge the gap between preparation and performance, Infor Hospitality Analytics and Insights provides the purpose-built foundation you need. Unlike generic tools, our platform consolidates data from your PMS, POS, and revenue systems into a single source of truth. This eliminates the silos that have notoriously fragmented the guest view. By combining this unified architecture with intuitive tools like Rover—our conversational AI assistant—your team is able to ask questions in natural language and receive real-time insights without technical skills or complex queries.
This deep, industry-specific approach allows you to bypass the complexity of generic tools in favor of the predictive insights needed to optimize pricing, anticipate demand, and truly personalize the guest journey.
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