Training course · AI Agents · Event Management

AI Agents for Event Managers

Agentic AI for business teams: understand AI agents, automate workflows safely and keep control with human-in-the-loop and governance.

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

“AI Agents for Event Managers” is a hands-on course for roles such as Corporate event managers, Event, exhibition and conference agencies and Marketing teams responsible for events. Rather than learning AI Agents in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from Event Management.

AI agents go a step beyond conventional chat assistants: they plan sub-tasks, use tools such as search, files or business applications and complete multi-step work largely on their own. Over two days you will learn how agents are built, how they differ from chatbots and traditional automation, and which tasks genuinely justify their use. Widely used platforms serve as practical examples, including Microsoft Copilot Studio, custom GPTs and Claude with projects and tool connections.

In the hands-on sessions you design agent workflows for tasks from your own area of work, from triaging requests through research and drafting to handing results over to business systems. You decide where a person reviews and approves, which permissions an agent receives and how errors are detected. A dedicated block covers governance, data protection and accountability, so that your agents not only work but remain controllable, traceable and defensible within your organisation.

Events depend on precise planning and many moving parts: concept, venue, programme, speakers, registration, catering, AV, communication and follow-up. Whether corporate events, conferences, trade fair stands or incentives, event teams juggle schedules, budgets and numerous suppliers. Generative AI provides relief at every stage. It develops concept ideas and draft programmes, builds running orders and checklists, writes invitations, attendee information and speaker briefings, answers frequent attendee questions and analyses feedback. AI agents and automations link registration tools, email and spreadsheets so that confirmations, reminders and lists are created automatically. That frees up time for creativity, supplier management and the on-site experience.

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?

  • Corporate event managers
  • Event, exhibition and conference agencies
  • Marketing teams responsible for events
  • Associations and conference organisers
  • Assistants who organise internal events

Typical challenges we address

  • Many parallel tasks with fixed deadlines
  • Heavy communication workload with attendees, speakers and suppliers
  • Last-minute changes that affect every document
  • Time-consuming follow-up and success measurement

What you will be able to do

  • You can explain how AI agents are structured and clearly distinguish them from chatbots and classic automation.
  • You can select a suitable agent platform for your requirements using transparent criteria.
  • You can design an agent workflow for a real process in your area and build a working prototype.
  • You can define human-in-the-loop checkpoints, test cases and escalation rules.
  • Plan events more efficiently with AI-supported concepts, running orders and checklists.
  • Automate attendee and supplier communication with AI and simple workflows.
  • Analyse feedback with AI and derive improvements for future events.

Course outline

Day 1

Module 1 What makes an AI agent
  • Agent building blocks: language model, instructions, knowledge, tools and memory
  • How agents differ from chatbots, macros and classic workflow automation
  • Levels of autonomy: from suggestion-making assistants to agents that act independently
  • Realistically judging which tasks suit agents and which do not
Module 2 Platform overview: Copilot Studio, GPTs and Claude
  • Microsoft Copilot Studio: agents grounded in company data and connected to Microsoft 365
  • Custom GPTs: configuring instructions, knowledge files and actions
  • Claude with projects, knowledge bases and tool access via the Model Context Protocol
  • Selection criteria: data access, integrations, administration and licensing
Module 3 Designing and building agent workflows
  • Breaking tasks into steps and defining hand-offs between agent and human
  • Writing system instructions, examples and knowledge sources for consistent output
  • Connecting tools: search, documents, email, spreadsheets and business applications
  • Building a prototype agent for a real process from your own area
Module 4 Human-in-the-loop, quality and error handling
  • Setting approval steps, escalation rules and thresholds for human review
  • Test cases, evaluation criteria and spot checks for quality assurance
  • Common failure modes: wrong tool choice, endless loops and fabricated facts
  • Using structured user feedback to improve the agent over time

Day 2

Module 5 Governance, security and roll-out
  • Roles and responsibilities across business units, IT, data protection and works council
  • Least-privilege permissions, logging and protection against prompt injection
  • Positioning under the EU AI Act and GDPR: transparency, documentation and data flows
  • From pilot agent to production: operation, maintenance and measuring success
Module 6 Practice lab: Event Management
  • Developing concept and programme
  • Running orders and checklists
  • Attendee communication
  • Speaker and supplier briefings
  • Answering attendee questions
  • Feedback and follow-up
Module 7 Data protection, quality & transfer to daily work
  • Attendee data such as contact, travel, dietary or accessibility details is subject to the GDPR, in part as special category data, and belongs only in approved systems. Legal requirements for photo and video recording, marketing consent and disclosing AI chatbots to attendees must also be observed.
  • 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

Developing concept and programme

From objectives, audience and constraints, AI develops concept ideas, themes, format suggestions and draft programmes, which the team evaluates, combines and develops further. Budget and sustainability goals are built in.

Running orders and checklists

Project plans, production schedules, run-of-show documents and checklists for logistics, AV and catering are created in a structured way and updated quickly when things change.

Attendee communication

Save-the-dates, invitations, confirmations, travel information and reminders are written for the audience, in several languages, and sent via automations. Content comes from a single source so changes reach every message consistently.

Speaker and supplier briefings

Briefings for speakers, hosts, caterers and AV suppliers are generated from event data, and enquiries and quote comparisons are prepared in a structured format. Everyone knows early what is expected.

Answering attendee questions

An AI assistant answers frequent questions about the programme, travel, accessibility or dress code based on verified information and passes special cases to the team.

Feedback and follow-up

Survey results and open comments are analysed, lessons for the next event derived and post-event reports, thank-you emails and social media recaps created. Metrics such as attendance rate are shown clearly.

Prerequisites

You should already use an AI assistant such as ChatGPT, Copilot or Claude on a regular basis. No programming skills are required. Experience organising events; no technical background required.

Technical requirements

You will need a laptop with an up-to-date browser. Ideally you have access to at least one agent platform such as Copilot Studio, ChatGPT with GPTs or Claude; practice accounts can be provided if needed.

Data protection & compliance

Attendee data such as contact, travel, dietary or accessibility details is subject to the GDPR, in part as special category data, and belongs only in approved systems. Legal requirements for photo and video recording, marketing consent and disclosing AI chatbots to attendees must also be observed.

Suggested dates

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

  • Mon, 23 November 2026 – Tue, 24 November 2026 Online Request
  • Wed, 2 December 2026 – Thu, 3 December 2026 Kaiserslautern Request
  • Wed, 9 December 2026 – Thu, 10 December 2026 Online Request
  • Wed, 13 January 2027 – Thu, 14 January 2027 Augsburg Request
  • Wed, 20 January 2027 – Thu, 21 January 2027 Online Request
  • Wed, 27 January 2027 – Thu, 28 January 2027 Salzburg Request

Frequently asked questions

Do I need programming skills to build AI agents?

No. The platforms used on the course rely on visual interfaces, plain-language instructions and ready-made connectors. You learn to specify agents precisely from a business perspective, connect tools and test workflows. Where deeper technical integration would be needed, you will know which requirements to put to your IT team.

Which platform will we use during the course?

The course is vendor-neutral and uses Microsoft Copilot Studio, custom GPTs and Claude as examples. You build your prototype on the platform that is available or planned in your organisation. The principles of workflow design, control and governance you learn carry over to other agent solutions as well.

How do I stop an agent from acting without control?

Through deliberate design: agents receive only the minimum permissions they need, critical actions such as sending, booking or deleting require human approval, and every step is logged. In addition, you define test cases and escalation rules. These are exactly the control mechanisms you develop for your own use case during the course.

Can AI plan an entire event?

AI quickly delivers concepts, draft programmes, schedules and checklists. Venue selection, supplier negotiations, budget responsibility and a feel for the on-site experience remain your job. In the course you use AI as a planning assistant that takes over routine work and gives you time for creative and critical decisions.

Which automations pay off in event management?

Registration confirmations, reminder emails, attendee lists, name badges and feedback surveys pay off especially well. You connect a registration form, spreadsheet and email sending, complemented by AI for personalised copy. The course shows how to set up and test such workflows without programming skills.

How much does “AI Agents for Event Managers” 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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