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2026-09-22 | Nitin Thariyan

The Friction Finder: Deploying Copilot, Gemini or Claude So It Changes How Your Hotel Works

Nitin Thariyan (Deep Hospitality) argues most hotels do not have an AI tool problem, they have an application problem. Watch the work, find the friction, and answer five questions before choosing a platform.

This insight summarises The Friction Finder: How to deploy Copilot, Gemini or Claude so it changes how your hotel actually works by Nitin Thariyan, Partner and Co-Founder of Deep Hospitality, published on Hospitality Net in September 2026.

The wrong debate. Leadership teams argue over which AI platform to roll out, but Thariyan's diagnosis is blunt: "Most hotels do not have an AI tool problem. They have an application problem." Making a tool available is not the same as pointing it at a problem that matters.

Go and watch the work. Borrowing the Lean practice of Gemba days, he describes the friction that shows up when you observe real workflows:

  • Pre-arrival teams assembling VIP profiles from three separate systems every day, though nobody asked for it
  • Finance spending the last four working days of each month chasing numbers submitted in different formats
  • Banquet teams spending four hours manually swapping details in proposals, with no creative input
  • Engineering logging work orders on paper, photographing them, and emailing the photos to a coordinator who retypes them
  • Dozens of departmental and shift WhatsApp groups running operations

His warning: "Automating a process nobody has questioned simply produces the same confusion at a higher speed."

Five questions before the technology conversation:

  1. Where does leadership time actually go? Separate judgment work from administration.
  2. What decision does your data feed? "A daily report that takes an hour to compile and is read by nobody is not an information system. It is a ritual."
  3. Where is your AI energy going? Scattered experimentation or coordinated capability building?
  4. Which improvement have you made more than once? Repeated fixes point to incentives and accountability, not process design.
  5. How far is it from a good idea to a working process? That gap is a system design problem.

Why this is urgent now. With AI-agent hotel booking in live testing across major platforms and chains, Thariyan cautions: "If your processes are undocumented and your data disagrees with itself, autonomy will amplify the mess."

Why this matters for hotels. Before licensing another AI seat, spend a day on the floor. The biggest returns will come from fixing the workflows you find, then applying AI with clear authority limits.

Read the full article on Hospitality Net →

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