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Seminar
from 456 CHF

AI in hospitality - fundamentals and practical course

10 Mar 2027
09:30 – 17:00
Viva Luzern Dreilinden
Luzern

The AI practical workshop for greater efficiency in day-to-day hotel operations

Answering guest enquiries, creating offers or preparing handovers: in day-to-day hotel operations, recurring tasks take up valuable time. In this practice-oriented AI workshop, you will develop concrete solutions for your business. You will work on your own tasks and create reusable AI building blocks that you can use directly in your day-to-day work.

You will also learn how to instruct AI so that the results suit the positioning, language and guests of your establishment. You will test your solutions, check their quality and make the time savings visible. At the same time, you will find out how to protect sensitive information and define clear rules for the responsible use of AI.

So that you benefit from a high course quality, an optimal learning effect and individual support with your business-specific tasks, the number of participants is limited to a maximum of 12 people.

Registration via the Hotel & Gastro Union

Registration 

Content & course structure

Format: Classroom teaching
Duration: 1 day

AI in everyday hotel operations: opportunities and limits

  • Use AI to solve specific hotel tasks

  • Identify suitable areas of application and limitations

  • Assess errors, fabricated content and distortions

  • Classify human oversight and responsibility

Your AI house profile: suitable results for your business

  • Define positioning, guest segments and tone of voice

  • Record standard formulations and operational guidelines

  • Create your own house profile and test it with a practical exercise

Your AI building blocks: simplify recurring tasks

  • Select your own tasks and develop reusable templates

  • Work through practical examples: review responses, multilingual guest correspondence, quotations, HR texts or handover reports

  • Check results, improve the building blocks and measure the time saved

Safe use of AI: data protection, rules and risks

  • Classify guest, employee and business data according to protection needs

  • Address data protection, copyright and confidentiality using concrete examples

  • Recognise AI-supported deception attempts such as deepfakes and phishing

  • Take provider dependencies and outage scenarios into account

  • Develop a concise AI house rule on tools, data input, approvals and reporting channels

Learning objectives

Upon completion of the course, participants will be able to:

  • Select at least two suitable AI applications for your day-to-day hotel work and identify their limitations.

  • Create a company-specific AI house profile and test it on a task.

  • Develop two to three reusable AI building blocks for your own tasks.

  • Check AI results for accuracy, completeness and appropriate tone.

  • Compare the time saved on a task with and without AI.

  • Classify operational data according to protection requirements and derive suitable protective measures.

  • Name warning signs of AI-supported attempts at deception and describe suitable checking steps.

  • Formulate clear rules for the use of AI in your business.

Participant documents & certificate

Each participant receives a digital participant package with:

    • Course presentations and workbook with the AI building blocks you have developed

    • Your company-specific AI house profile

    • Data class card for the secure handling of information

    • Template for internal AI guidelines

After successful participation, all participants will receive a course certificate.

Target audience

For hotel directors, executives and employees from Reception, Reservations, Marketing, Administration and HR, who want to use AI specifically for their daily tasks and establish responsible use in the business.

Speakers - Red Teaming Schweiz

The course is delivered by the specialists from Red Teaming Schweiz. The speakers combine many years of experience in the fields of Cyber Security, secure use of AI, Social Engineering, crisis management and operational resilience.

Florian Muff

  • Head of Customer Success, SignalFisher
  • CyberSeal Lead Auditor
  • Board member of Allianz Digitale Sicherheit Schweiz (ADSS)
  • Trainer for secure use of AI in SMEs

Roger Büschlen

  • Entrepreneur
  • Specialist in Social Engineering
  • Expert in negotiation tactics and human factors

Romain Markwalder

  • Entrepreneur
  • Specialist in crisis management
  • Expert in business continuity and operational resilience