The AI Hospitality Alliance and HEDNA have launched an AI Use Case Catalogue, a new resource designed to help hotel operators identify where artificial intelligence can be deployed across their businesses.

The catalogue represents a joint effort between the two organizations to move AI adoption in the hotel sector from broad discussion toward concrete, documented applications. Rather than offering a single vendor's pitch, the resource collects use cases — specific scenarios in which hotel companies have applied or can apply AI — giving operators a reference point when building their own technology roadmaps.

For hoteliers, the practical value of such a catalogue lies in evaluation. AI deployments in hospitality typically target revenue management, distribution, guest communications, and back-office functions, and each carries a distinct cost profile and payback horizon. A documented set of use cases allows an operator to weigh what a given system replaces, who pays for implementation, and what measurable outcome — higher conversion, lower cost per reservation, reduced staffing load on repetitive tasks — the technology is expected to deliver before committing capital.

The collaboration pairs the AI Hospitality Alliance, an industry group focused on AI adoption in hospitality, with HEDNA, the long-established hotel electronic distribution association whose membership spans hotel companies, distributors, and technology providers. That combination positions the catalogue to address both the operational side of AI deployment and the distribution-specific applications closest to HEDNA's core membership.

Industry resources of this type have taken on greater weight as hotel technology budgets tighten and operators face a growing field of AI vendors. A shared catalogue can function as a screening tool: operators can compare their priority problems against documented use cases rather than starting each vendor conversation from zero.

The organizations have not detailed the full contents of the catalogue in the announcement, and operators will need to review the document directly to assess which use cases match their scale, ownership structure, and existing technology stack. What the launch establishes is a common reference framework — and a signal that two industry bodies see AI evaluation, not just AI acquisition, as the sector's next operational discipline.

How widely hotel companies adopt the catalogue as a planning standard, and whether it expands with new documented cases over time, will determine its staying power as a working tool rather than a one-time publication.