Dustin Stone, HTN Staff Writer – April 25, 2026
Choice Hotels is implementing the next phase of a technology strategy the company has been building for more than a decade. It’s about moving core systems to the cloud, standardizing tools across a large franchise network, and using that infrastructure to give hotel owners a better way to manage pricing, operational guest communications, and delivery.
The company said in an announcement this week that it has partnered with Amazon Web Services to embed AI across the hospitality value chain, deploying applications that span guest discovery and reservations, franchise operations, revenue management, maintenance, guest communications, distribution, pricing, and inventory optimization. Choice frames this effort as a move beyond isolated pilots to large-scale production-level AI deployments.
In much of the hotel industry, AI has primarily been discussed in the context of guest-facing tools such as chatbots, travel planning, search, messaging, and digital concierge capabilities. Choice’s announcement provides a more operational use case. In addition to using AI to answer guest questions, the company is building it into the systems franchisees use to operate their hotels, determine pricing, manage workflow, and improve performance.
Choice is also standardizing on AgentCore. The company describes AgentCore as an AWS-powered enterprise platform that provides a secure, reusable foundation for intelligent agents that can capture trusted information and automate workflows. Choice said it was the first major U.S. hospitality provider to standardize on AgentCore. This claim highlights how the company wants the industry to view this move not as another AI experiment, but as infrastructure for widespread automation across the enterprise.
This approach fits Choice’s business model. The company’s portfolio includes approximately 7,500 hotels, more than 650,000 rooms, and 50 countries and territories. Its franchisees range from large multi-property operators to individual owners with lean teams and limited proprietary corporate infrastructure. For that audience, technology must be practical. We need to reduce manual labor, simplify decision-making, and generate tangible benefits at the property level.
Choice has been moving in this direction for years. In 2018, the company introduced ChoiceEDGE, a cloud-based global reservations system, the first new global reservations system by a hotel company in more than 30 years. The platform supports thousands of properties around the world and is designed to improve delivery, connectivity, and personalization across the guest journey.
The company’s relationship with AWS predates its current AI initiatives. Choice says its work with AWS began in 2015 with the development of ChoiceEDGE. It has since committed to becoming fully cloud-based on AWS and announced that it has completed the migration of its entire data center to the cloud in 2024. Choice also points to previous milestones, including the 2021 launch of ChoiceMAX, an AI, mobile-first revenue management solution.
These early investments are important because enterprise-scale AI relies on more than just access to models. It requires unified data, cloud infrastructure, governance, and the ability to introduce improvements without forcing disruptive technology overhauls across all assets. Hotel companies with fragmented legacy systems may talk about AI, but they often face a more difficult path when trying to make AI work consistently across brands, geographies, and ownership groups.
For Choice, the most immediate impact is likely to be in revenue management and distribution. Franchisees have long needed better tools to interpret demand patterns, competitor pricing, reservation periods, and channel performance. AI helps by turning large amounts of commercial data into actionable recommendations for owners and managers. This is especially true in the midsize, economy, and extended stay segments, where many operators do not have a dedicated revenue management team.
The same logic applies to guest communications. AI can help automate routine inquiries, personalize pre-arrival and post-stay messaging, and reduce the burden on front desk staff. This may not sound as ambitious as a fully conversational travel assistant, but for owners dealing with staffing pressures and rising operating costs, saving time from repetitive tasks makes sense.
Pay attention to maintenance and inventory. These areas rarely make headlines, but they are at the core of a hotel’s profitability and guest satisfaction. AI-enabled tools can help identify recurring issues, flag potential equipment issues, improve prioritization, and reduce delays from detection to resolution. In large franchise systems, even small improvements in consistency can be significant.
The bigger strategic question is whether Choice can use AI to improve the baseline capabilities of its franchise network. It’s been a long-held promise of brand-level technology in franchising. Independent owners participate not only in flags and distribution engines, but also in a system of tools that are difficult to build or buy on their own. When AI can make these tools smarter and easier to use, they become more than just a corporate innovation project, they become a franchisee enablement strategy.
The competitive environment is changing rapidly. Leading hotel companies are investing heavily in data, digital guest engagement, and AI-powered operations. For example, Hilton recently introduced the Hilton AI Planner. It’s a generative AI-powered digital concierge, currently in beta on Hilton.com, designed to help travelers explore destinations, compare properties and rate amenities through a conversational interface.
Marriott is also investing in large-scale technology modernization across reservations, loyalty, accommodation systems, and customer engagement, while platform companies such as Mews, Cloudbeds, Oracle Hospitality, Agilysys, IDeaS, Duetto, and Canary are pushing AI and automation deeper into the operational stack. This competition is no longer simply about who has the best booking app or loyalty program. It’s about who can connect data across systems and turn it into better decisions in real time.
Pricing, distribution, staffing, maintenance, and guest messaging are increasingly intertwined. Revenue decisions affect occupancy. Occupancy affects staffing. Staffing affects service. Service influences reviews. Reviews influence demand. AI is only useful if it can operate beyond those connections.
The advantage of Choice may be that much of the infrastructure work is already done for you. Moving to the cloud and modernizing your booking platform provides the foundation for broader AI adoption. But implementation will still be difficult. Hiring a franchisee is never automatic. Owners will want to understand how recommendations are made, how much control they have over them, and whether the tool actually improves results. AI that feels opaque or overly centralized may face resistance, especially from experienced operators who know their local markets well.
This is especially true for revenue management. Although the system can identify broad market trends, properties located near universities, hospitals, refineries, airports, military bases, and event venues may have demand patterns that require local judgment. The best AI tools in hospitality may combine centralized intelligence with property-level context and override capabilities.
There are also risks to the guest experience. While AI can improve speed and consistency, hospitality still relies on judgment, empathy, and human intervention when something goes wrong. Your guests will appreciate instant answers to simple questions. If the issue is complex or urgent, you’re less likely to value automation that prevents you from contacting a representative.
Still, Choice’s announcement reflects where hotel technology is heading. AI is moving from the end of the guest journey to the operational systems that determine how hotels are priced, staffed, maintained, and managed. For franchisors, this opportunity is especially important. Because technology can narrow the capability gap between small owners and large institutional operators.
The real test isn’t whether Choice can deploy AI tools. What matters is that these tools become part of the hotel’s daily operations in a way that owners trust and use them. If so, Choice’s latest move could prove less about AI hype and more about the next phase of franchise hotel operations: smarter systems, more automated workflows, and better decision support for the people running the properties.
