Training course · Make · Hospitality & Tourism

Make for Hospitality and Tourism

Automation with Make (formerly Integromat) and AI modules: build scenarios, routers and AI steps while keeping data protection in check.

Duration
2 days (14 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

This course connects Make with the everyday processes of Hospitality & Tourism. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

Make, formerly known as Integromat, is a visual automation platform that lets you connect applications and automate recurring processes without writing code. Over two days you will learn to build scenarios systematically, from triggers and modules through routers and filters to iterators, aggregators and data stores. You will understand how data flows through a scenario, how to reshape it with functions and how to keep an eye on operations consumption.

The second focus is AI. You connect language models through Make’s AI modules and provider integrations to classify text, extract information from emails and documents, draft replies or enrich content. You learn to catch errors with error handlers, test scenarios and document them clearly. Finally, you address data protection topics such as hosting region, data processing agreements and data minimisation, so that your automations can be run safely within your organisation.

In hotels, restaurants and tourism, the guest experience is everything – and it starts long before arrival. Generative AI helps teams answer enquiries quickly and in several languages, build group and conference proposals, respond professionally to reviews and produce content for websites, booking platforms and social media. AI agents can handle standard questions about arrival, parking or check-in times around the clock and pre-qualify booking requests. Behind the scenes, AI-supported analysis assists with rostering, purchasing and pricing. Especially at a time of staff shortages, AI frees up space for the personal hospitality that no technology can replace.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Hotel management and front office teams
  • Reservations and sales departments
  • Destination management organisations and tourist boards
  • Tour operators and travel agencies
  • Food and beverage and banqueting managers

Typical challenges we address

  • Staff shortages combined with high service expectations
  • Many enquiries in different languages across numerous channels
  • Public reviews that need prompt, professional responses
  • Heavy effort for proposals, content and guest communication

What you will be able to do

  • You can build Make scenarios independently using triggers, routers, filters and data transformations.
  • You can process lists and records with iterators, aggregators and data stores.
  • You can integrate AI modules for classification, extraction and text generation into your processes.
  • You can safeguard scenarios with error handlers, validation and human approval.
  • Answer enquiries and reviews with AI faster, in several languages and in your property's style.
  • Create proposals, content and guest communication efficiently with AI support.
  • Identify operational processes that AI agents and automation can relieve.

Course outline

Day 1

Module 1 Fundamentals: scenarios, modules and data flow
  • Interface layout, scenario editor and execution history
  • Triggers, actions and searches: module types and their role in a scenario
  • Understanding bundles, mapping and data types and using them deliberately
  • Choosing between schedules, webhooks and instant triggers
Module 2 Logic: routers, filters, iterators and aggregators
  • Using routers and filters for branching and conditional flows
  • Splitting lists with iterators and combining them with aggregators
  • Applying text, date and maths functions to transform data
  • Using data stores and variables for interim values and duplicate checks
Module 3 AI building blocks in Make
  • Connecting language models via AI modules and provider integrations
  • Automating classification, structured data extraction and text generation
  • Building prompts from scenario variables and processing output as JSON
  • Combining AI agents in Make with tools and scenarios as actions
Module 4 Integrations, error handling and testing
  • Connecting common business applications and any API via the HTTP module
  • Applying error handlers such as Resume, Ignore, Break and Rollback
  • Validating AI output and routing unusable results to a person
  • Testing scenarios, optimising operations and documenting them for the team

Day 2

Module 5 Data protection, governance and operations
  • Assessing hosting region, data processing agreements and data flows to AI providers
  • Applying data minimisation and pseudonymisation within scenarios
  • Managing connections, teams and permissions across the organisation
  • Defining approval steps, monitoring and ownership for live operation
Module 6 Practice lab: Hospitality & Tourism
  • Multilingual guest enquiries
  • Responding to reviews
  • Group and conference proposals
  • Content for websites and platforms
  • Automating guest communication
  • Supporting internal operations
Module 7 Data protection, quality & transfer to daily work
  • Guest data such as ID, payment and preference information is subject to the GDPR and belongs only in approved systems; marketing emails require valid consent. Guest-facing AI chatbots must be disclosed as such under the EU AI Act, and price and service information must comply with consumer protection rules.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Multilingual guest enquiries

AI drafts replies to questions about availability, facilities, arrival or special requests in the guest's language and the house style, which the team reviews and sends.

Responding to reviews

Online reviews are analysed and answered with individual, appreciative responses; recurring criticism is summarised for quality management. Complaints that need action are also forwarded to the relevant department so issues are fixed promptly.

Group and conference proposals

Key details on attendee numbers, rooms, catering and side programme become structured proposals with a running order, adjusted to the property's price lists and terms.

Content for websites and platforms

Room, package and destination descriptions, newsletters and social posts are created seasonally for each target group and optimised for search engines. Content stays consistent across all channels.

Automating guest communication

Pre-arrival emails, upselling offers, check-in information and post-stay surveys are personalised with AI and sent at the right moment through automations. Language and stay purpose are considered where consent exists.

Supporting internal operations

Training materials for new staff, standard operating procedures, draft rotas and shift handover notes are produced faster and kept up to date. Important information is not lost between shifts.

Prerequisites

You should be comfortable with common office and cloud applications and have some experience with AI assistants. No programming skills are required. Hands-on experience in hotels, food service or tourism; no technical background required.

Technical requirements

You will need a laptop with an up-to-date browser and a Make account; the free plan covers most exercises. API access for a language model is set up together during the course.

Data protection & compliance

Guest data such as ID, payment and preference information is subject to the GDPR and belongs only in approved systems; marketing emails require valid consent. Guest-facing AI chatbots must be disclosed as such under the EU AI Act, and price and service information must comply with consumer protection rules.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Thu, 26 November 2026 – Fri, 27 November 2026 Online Request
  • Wed, 9 December 2026 – Thu, 10 December 2026 Stuttgart Request
  • Thu, 7 January 2027 – Fri, 8 January 2027 Hanover Request
  • Thu, 14 January 2027 – Fri, 15 January 2027 Online Request
  • Wed, 27 January 2027 – Thu, 28 January 2027 Berlin Request
  • Tue, 2 February 2027 – Wed, 3 February 2027 Online Request

Frequently asked questions

Is Make the same as Integromat?

Yes. Integromat was renamed Make and substantially developed along the way. The core principle of visual scenarios made of connected modules remains, while a redesigned interface, many new integrations and AI building blocks have been added. If you used Integromat in the past, you will quickly feel at home and discover the new capabilities on the course.

How do I keep operation costs under control?

Every module that runs consumes operations or credits, and AI calls also use quota with the respective model provider. On the course you learn to design scenarios so that filters apply early, unnecessary runs are avoided and data is processed in batches. This keeps your automations economical and predictable as volumes grow.

Can Make be used in a GDPR-compliant way?

In principle yes, provided you set up the framework deliberately. This includes choosing the hosting region, signing a data processing agreement, reviewing connected AI services and applying data minimisation. On the course you work through these points with a checklist and learn to filter or pseudonymise sensitive data within scenarios.

Can an AI chatbot replace our front desk?

A chatbot can answer standard questions around the clock and pre-qualify requests. Personal service, problem-solving and genuine hospitality remain your team's job. The course shows which requests are well suited to automation and how to design a smooth handover to staff.

Don't AI review responses sound impersonal?

Only if they are generic and unchecked. AI provides a draft that addresses specific points in the review; you add personal details and decide on tone and any gestures of goodwill. You save time and still respond individually and credibly.

How much does “Make for Hospitality and Tourism” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 2 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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