Where to start with AI in your property: your 30-day plan

To get started with generative AI in your hotel or restaurant, there's no need to overhaul everything: all it takes is a 30-day plan split into four weeks, spot 2 to 3 time-consuming tasks, pick a single tool, test prompts, bring the team on board, then measure. Within a month, most of the properties I work with reclaim several hours per week and per employee on writing and communication, with no heavy software budget and no prior technical skills.

I'm Tiffany Weltman, a generative-AI trainer specialised in hotels and restaurants. My Qualiopi certification makes my training eligible for OPCO funding, and I've already trained more than 2,500 hospitality professionals, within groups such as Accor, Paris Society, Airelles and the Plaza Athénée. The plan below is exactly the one I run with management teams starting from scratch.

The 30-day rule: small, concrete, measurable

The first mistake is wanting to "do AI" everywhere at once. You spread yourself thin, the team disengages, and nothing is measurable. The opposite approach works: pick a tiny scope, get a visible win within days, then expand. Three simple rules frame the month:

• One tool to start, not five. You'll avoid dispersion and cognitive overload.
• Real tasks, drawn from your daily routine, never textbook cases.
• One metric per task: time saved, or volume produced. No figure, no decision.

Week 1, Spot 2 to 3 painful tasks and choose a tool

Start by observing, not buying. For two or three days, note the repetitive writing tasks that cost you time or energy. In a property, the obvious candidates are almost always the same:

• Replying to guest reviews (Google, Booking, TripAdvisor).
• Writing recurring emails: confirmation, pre-arrival, seminar quote follow-ups.
• Producing social media posts and offer descriptions.
• Translating menus, sheets and messages for an international clientele.

Pick 2 to 3, no more. As for the tool, a mainstream conversational assistant (ChatGPT, Claude or Gemini, on the free tier to start) is more than enough for this first month. The goal of week 1 isn't to produce, but to decide where you'll aim.

Week 2, Your first prompts and first quick wins

This is the week AI moves from idea to working tool. A good prompt always follows the same structure: a role, a context, a task, a tone, a format. Here's a ready-to-use example for review replies:

You are the guest relations manager of a 4-star hotel in Paris. Write a reply to this guest review, in English, warm and personalised, that thanks the guest, addresses the point raised and makes them want to return, without over-promising. Keep it under 90 words. Here's the review: [paste the review].

And a second one, for the pre-arrival email:

You are a receptionist at a boutique hotel. Write a pre-arrival email to a guest arriving Friday for 2 nights. Tone: elegant and welcoming. Include: check-in times, a question about their preferences, and 2 local suggestions. Format: short, ready to send.

Test, adjust the tone, and keep your best prompts in a simple shared document. To go further, my library of ready-to-use ChatGPT prompts for hospitality will save you valuable time from this week onward.

Week 3, Bring the team on board and set a light charter (GDPR)

A management win doesn't make a convinced team. Week 3 is about passing it on. Gather your volunteers, often reception, sales and marketing first, and show them your concrete quick wins. Nothing convinces better than a review reply written in 30 seconds in front of them.

In parallel, set a simple usage charter, one page maximum, to frame without slowing down. The essentials:

• No personal guest data (full name, email, card number, health data) copied into a mainstream tool, anonymise first.
• Mandatory human review before any send: AI proposes, the human validates.
• Transparency: never invent a figure or a review, never publish an unchecked reply.
• One identified point of contact for questions.

This charter protects your property under the GDPR while letting the team experiment with peace of mind. To structure this upskilling, my training programme can support your teams step by step.

Week 4, Measure and decide what to scale

The final week turns the trial into a decision. Take your initial 2 to 3 tasks and compare before/after, on simple measures you can track yourself:

• Time per task: how many minutes for a review reply before, how many now?
• Volume: number of reviews handled, posts published, emails sent over the week.
• Perceived quality: feedback from the team and guests, consistency of publishing.

From these figures, decide: which task do we roll out, which do we drop, which deserves a better tool? To frame this calculation, my method for measuring the ROI of AI in hospitality gives you simple indicators to track over time.

After 30 days: scale without spreading thin

By the end of the month, you no longer have a hunch but a foundation: identified tasks, prompts that work, an initiated team and figures. That's the right moment to expand gradually, one new task, one new department, rather than opening everything at once. The rule stays the same: small, concrete, measurable.

If you want to speed up this start with tailored support, adapted to your property and eligible for OPCO funding, let's talk. In a single session, we can map your priority tasks and win your first hours as soon as the following week.