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AI Hospitality Alliance

Standards

Standards

Standards, frameworks, guidelines and blueprints developed by the Alliance’s workgroups for the benefit of the hospitality industry.

Everything published here is free with open access and all code is open source, in keeping with the AI Hospitality Alliance’s declared mission.

FrameworkV1

Hospitality AI Governance Framework

A common, practical reference for hospitality organisations developing their own AI governance frameworks.

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AI Governance Framework: five foundations (purpose and vision, definitions, governance principles, governance functions, AI governance literacy) above five governance pillars around the framework: AI systems, risk and accountability; people, guests and workforce; data, security and assurance; vendors, tech stack, procurement and AI lifecycle; AI agents and the hospitality ecosystem
Segment
Enterprise · SMB/Independent · Vendors
Audience
Owners, executives, operators, technology leaders, legal, risk, HR, procurement, security and privacy teams
Operating level
Corporate
Implementation guideV1

Agentic Protocols Adapted for Hospitality

A practical guide to selecting agentic protocols, mapping hotel AI use cases and evaluating integration controls and evidence.

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Protocols at a glance: MCP, A2A, ARD, ACP, UCP, AP2, WebMCP, PAP (Personal Agent Protocol) and MPP (Machine Payments Protocol). Different jobs, not a mandatory stack. Protocol choice is not permission to act or proof of interoperability.
Segment
SMB / independent · Enterprise · Vendors
Audience
Primary: CTOs, architects, engineers, integrators & hotel/vendor technical teams · Supporting: product, security, privacy & procurement teams · Secondary: operators, owners & commercial leaders
Operating level
Corporate
Implementation guideV1

Hotel AI Visibility Criteria and KPIs

One practical implementation and measurement guide for improving how hotels are found, represented, recommended, and verified in AI-mediated discovery.

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AI Visibility Improvement Loop: define, site audit, prepare content, answer audit, measure, and fix and re-test. Readiness enables visibility; it does not guarantee it.
Segment
SMB / independent · Enterprise · Vendors
Audience
Owners & GMs · Commercial, brand, revenue & distribution · Web, data, agencies & procurement
Operating level
Property · Corporate
FrameworkV1

AI Orchestration Framework for Hospitality

A practical framework for placing one shared integration and control layer between AI agents and hotel systems — with a topology-neutral architecture and reusable implementation tools.

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The architecture in one view — open full-size diagram
Segment
Enterprise · Vendors
Audience
Operators & technology leaders · Architects, engineers & integrators · Security, governance & procurement
Operating level
Corporate level
Assessment guideV1

AI Readiness Guide for Hotels

Assess operational and digital readiness through evidence-led conversations, separate scoring and reusable workbooks.

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How the assessment works: separate operational and digital readiness assessments, gathering evidence, applying the scoring rubric, reviewing gaps and owners, and an optional 12-month roadmap
Segment
SMB/Independent · Enterprise
Audience
Owners, GMs & department heads · Revenue, marketing, IT & web teams
Operating level
Property · Corporate
Architecture blueprintV1

Scalable AI Platform Architecture Blueprint for Hospitality

How to build an AI platform that still works at property 500, across portfolios where systems differ. AI Hospitality Alliance scalable AI platform architecture workgroup.

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Shared workflows. Different hotel systems.

Shared workflows

Define once

Controlled actions

Validate and execute safely

Property connections

Map systems and fallbacks

Hotel portfolio

Different systems, shared rules

  • Identity & permissions
  • Trusted data
  • Evidence & cost
Segment
Enterprise with mixed portfolio · Enterprise with uniform portfolio
Audience
Owners, operators, brand and franchise teams, commercial leaders, buyers, architects, integrators
Operating level
Corporate
FrameworkV1

AI-Ready Hospitality Data Framework

A practical guide and reusable tools for turning fragmented hospitality data into identifiable, traceable, quality-controlled records for AI use.

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AI HOSPITALITY ALLIANCE

From fragmented hotel data
to a usable foundation

Start with one property · Room + Room Type

  1. Hotel data

    Systems + property information

  2. Shared meaning

    Entities + relationships

  3. Trust & quality

    Evidence

    Quality checks

  4. Usable foundation

    Traceable records for a defined AI use

Named ownersPreserved sourcesLineage

Monitor and improve
Segment
SMB / independent · Enterprise · Vendors
Audience
Owners, general managers, operations and commercial leaders, buyers, data engineers, architects, product teams, and integrators
Operating level
Property teams define local sources and owners; corporate teams define shared keys, rules, and reusable controls