The RaceMyDesk Blog
Artificial intelligence is changing the way companies work. The question is no longer whether you should use it, but how to use it wisely. On the RaceMyDesk blog you will find ideas, real cases and practical advice to understand AI without the complications, and discover how it can help you save time, improve productivity and grow your business.
Everything here falls into three areas, one for each way AI is reshaping your business:
Private AI for your company: assistants trained on your own documents and email, running on infrastructure you control, so your team gets instant answers without your data ever leaving.
Where to start and what to prioritise: how to choose the AI projects that genuinely pay off, and avoid the expensive ones that do not.
Getting found by AI: how to make sure that when a traveler asks ChatGPT or Gemini where to stay, your property is the one it recommends.
Why does your team keep answering the same questions over and over?
Because the answer is already written, just buried. A private AI assistant reads across your own company, finds it, and drafts the reply in seconds, in your voice.
Is it safe to let AI read your company's emails and documents?
Yes, but only if the AI runs where your data already lives. The real difference between public AI and a private, on-premises platform.
Where should a hotel actually start with AI (without wasting money)?
Not with a tool, and not with a grand plan. Start with one painful, high-volume, low-risk process and prove it works.
When a traveler asks ChatGPT where to stay, does it recommend you?
More travelers ask AI for a recommendation and book what it suggests. When they ask, does it name you, a competitor, or nothing?
Why do most AI projects in hospitality never make it past the pilot?
Rarely the technology. No clear business case, messy data, no owner. What the successful few do differently.
SEO made you findable on Google. What makes you findable on ChatGPT?
Different rules entirely. Getting into the one AI answer is a new discipline: GEO, Generative Engine Optimization.
How many hours a week does your front desk lose to the inbox?
More than anyone measures. What changes when an assistant drafts replies from your own data, so staff edit and send instead of writing from zero.
Should your company's AI run in the cloud, or on your own servers?
It depends on how sensitive your data is. A simple decision framework for non-technical owners.
What will AI really change in hotels in the next two years (and what is just hype)?
Less than the headlines promise, more than most owners are preparing for. Signal versus noise, from inside the industry.