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Why During-Stay AI Is Lagging (And How to Make It Work)

This whitepaper explores why AI adoption in hospitality continues to lag during the stay, despite high investment and widespread use across the industry for the pre-stay phases. Our whitepaper is structured in two parts:

Part 1: Why Execution Stalls
Based on the h2c Global AI & Automation Study (189 executives, 171 hotel chains), this section shows key stats like:

  • 78% of hotel chains use AI, yet 78% lack a formal AI strategy

  • 85% of chatbot interactions focus on booking-related questions

  • During-stay automation and real-time service remain limited

Part 2: How Hotels Can Close the Gap
This section introduces a practical framework for during-stay AI, built around three pillars of during stay adoption:

  • Integration to enable end-to-end service workflows

  • Goal Setting to automate efficiency while protecting human-led service

  • Guest Adoption, with 73% of travelers open to AI-powered service during their stay

GET YOUR FREE WHITE PAPER NOW

Download now to understand where during-stay AI breaks down today and how hotel chains can turn fragmented initiatives into scalable, guest-ready operations.