Training course – EU AI Act & AI Compliance – Customer Service

EU AI Act & AI Compliance for Customer Service Teams

Putting the EU AI Act into practice: risk categories, deployer obligations, AI literacy under Art. 4, AI policy and GDPR interfaces.

Duration
6 hours, one session
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“EU AI Act & AI Compliance for Customer Service Teams” is designed for roles such as First and second-level service agents, Team leads and service managers and Knowledge managers and service trainers and shows step by step how to use EU AI Act & AI Compliance productively, safely and transparently in Customer Service – from the fundamentals to advanced workflows.

The EU AI Act is the first comprehensive legal framework for artificial intelligence, and it applies not only to providers but also to organisations that use AI systems in their daily work. In this compact course you will learn how the regulation is structured: prohibited practices, high-risk systems, transparency obligations and general-purpose AI models. You will find out which role your organisation plays as a deployer, which obligations follow and how to record and classify the AI applications you use in a structured way.

The practical part turns the requirements into manageable steps. You clarify what the AI literacy obligation under Article 4 means in concrete terms, how to organise training in a verifiable way and what an internal AI policy should cover. You also examine the interfaces with the GDPR, such as legal bases, data protection impact assessments and automated decision-making. You leave with an AI inventory template, a draft policy and a clear compliance roadmap for your area of work.

Customer service teams are the voice of the company: they answer questions, solve problems and have a major influence on customer satisfaction. Generative AI is changing service in many ways. AI assistants suggest replies to tickets and emails, summarise long conversation histories, translate enquiries and search knowledge bases in seconds. AI agents and chatbots answer routine requests around the clock and hand complex cases over to agents with full context. Automation classifies requests, sets priorities and detects sentiment. This gives service staff more time for demanding cases and empathetic conversations. The prerequisites are a well-maintained knowledge base, clear escalation rules, transparency towards customers and careful handling of the personal data in every ticket.

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?

  • First and second-level service agents
  • Team leads and service managers
  • Knowledge managers and service trainers
  • Customer success managers
  • Contact centre and service process owners

Typical challenges we address

  • Handling high ticket volumes while maintaining response quality
  • Keeping knowledge up to date and quickly accessible for everyone
  • Onboarding new staff quickly
  • Handling customer requests consistently across languages and channels

What you will be able to do

  • You can explain how the EU AI Act is structured and assign your organisation to the correct roles.
  • You can classify the AI applications in use by risk category and maintain an AI inventory.
  • You can name the specific obligations of deployers and derive appropriate measures.
  • You can develop an AI literacy concept under Article 4 and a draft internal AI policy.
  • Use AI for reply suggestions, summaries and ticket routing in your service process.
  • Build an AI-ready knowledge base and define clear escalation rules for chatbots.
  • Deploy AI in customer service transparently and in compliance with data protection rules.

Course outline

Module 1 Structure and logic of the EU AI Act
  • Objectives, scope and phased application of the regulation
  • Roles at a glance: provider, deployer, importer and distributor
  • The risk-based approach: prohibited practices, high risk, limited risk and minimal risk
  • Specific rules for general-purpose AI models
Module 2 Classifying risk in practice
  • Prohibited practices such as social scoring or emotion recognition in the workplace
  • High-risk areas under Annex III, including recruitment, creditworthiness and education
  • Transparency obligations for chatbots, synthetic content and deepfakes
  • Recording and classifying your own AI applications in an AI inventory
Module 3 Obligations for deployers of AI systems
  • Use in line with instructions and human oversight by competent staff
  • Input data quality, monitoring of operation and retention of logs
  • Informing employees and affected persons and reporting serious incidents
  • Fundamental rights impact assessment: when it is required and how it works
Module 4 AI literacy under Art. 4 and internal AI policy
  • What sufficient AI literacy means for different roles
  • Designing training concepts and documenting measures verifiably
  • Components of an AI policy: approved tools, data classes, approvals and labelling
  • Responsibilities, AI officers and involving the works council and IT
Module 5 GDPR interfaces and governance
  • Legal bases, purpose limitation and data minimisation when using AI
  • Data protection impact assessment and its relationship to the fundamental rights assessment
  • Automated individual decisions, data subject rights and data processing agreements
  • Compliance roadmap: priorities, ownership and regular review
Module 6 Practice lab: Customer Service
  • Reply suggestions
  • Ticket classification and routing
  • Case summaries
  • Knowledge base building
  • Self-service assistant
  • Quality analysis and coaching
Module 7 Data protection, quality & transfer to daily work
  • Tickets contain personal data, so processing them in AI tools requires a GDPR-compliant data processing agreement; under the EU AI Act chatbots must be clearly identifiable as AI. If conversations are recorded or agent performance data analysed, works councils must be involved, for example under the German Works Constitution Act.
  • 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

Reply suggestions

An AI assistant analyses the request, searches knowledge articles and past resolutions and suggests a reply in the company's tone of voice, which agents adapt and send.

Ticket classification and routing

Incoming requests are automatically categorised by topic, product, urgency and sentiment and routed to the right team, with critical cases prioritised.

Case summaries

Long email threads, chat logs or call notes are condensed into a short summary of the problem, steps taken and open issue, ideal for handovers and escalations.

Knowledge base building

From resolved tickets and expert knowledge, AI drafts knowledge articles and FAQs, spots documentation gaps and keeps existing articles up to date with suggested changes.

Self-service assistant

An AI-powered chat answers frequent questions based on approved content, collects structured information for complex cases and hands them over to agents with context.

Quality analysis and coaching

AI reviews ticket samples against defined quality criteria, identifies recurring customer issues and gives team leads pointers for coaching and process improvement.

Prerequisites

No legal background is required. A basic knowledge of the GDPR and an overview of the AI applications used or planned in your area are helpful. You work in customer service or customer success and know the ticketing or CRM systems your team uses.

Technical requirements

All you need is a laptop with an up-to-date browser and an office suite for working with templates. No special AI licences are necessary.

Data protection & compliance

Tickets contain personal data, so processing them in AI tools requires a GDPR-compliant data processing agreement; under the EU AI Act chatbots must be clearly identifiable as AI. If conversations are recorded or agent performance data analysed, works councils must be involved, for example under the German Works Constitution Act.

Dates & locations

For every location we suggest a date roughly four weeks ahead. Your preferred date is always possible.

  • Munich Wed, 16 December 2026 6 hrs Request
  • Salzburg Thu, 10 December 2026 6 hrs Request
  • Berlin Mon, 14 December 2026 6 hrs Request
  • Augsburg Thu, 10 December 2026 6 hrs Request
  • Hanover Tue, 15 December 2026 6 hrs Request
  • Bremen Fri, 11 December 2026 6 hrs Request
  • Stuttgart Fri, 11 December 2026 6 hrs Request
  • Kaiserslautern Thu, 10 December 2026 6 hrs Request
  • Online Wed, 16 December 2026 6 hrs Request

Frequently asked questions

Does the EU AI Act apply to companies that only use AI tools?

Yes. Anyone using AI systems under their own authority in a professional context is a deployer. All deployers must, in particular, ensure that their staff have sufficient AI literacy. Where high-risk systems are used, for example in recruitment, further obligations apply, such as human oversight, logging and informing the people affected.

Does this course satisfy the training obligation under Article 4?

The course covers core AI literacy content and you receive a certificate of attendance that you can add to your documentation. However, Article 4 requires measures tailored to role, prior knowledge and context of use. That is why you also learn how to set up and maintain your own AI literacy concept for your organisation.

Does the course replace legal advice?

No. The training provides practical knowledge for specialists and managers so they can interpret requirements, ask precise questions and implement first measures. For binding assessments of individual systems, especially in high-risk areas, you should involve your legal department, your data protection officer or external specialist lawyers.

Will an AI chatbot replace our service team?

No. Good chatbots take care of routine questions, but complex, emotional or unusual requests need people. What matters is a smooth handover with full context. In the course we show how to define which requests are automated and when a human takes over.

How do we prevent chatbots from giving wrong answers?

Restrict the chatbot to verified knowledge content, show sources and define topics that are always handed to agents, such as legal questions or cancellations. Regular reviews and tests with real requests keep quality high over time. Clear feedback loops from agents help close knowledge gaps quickly.

How much does “EU AI Act & AI Compliance for Customer Service Teams” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 6 hours of live training with a trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. For every location we suggest a date roughly four weeks ahead. In the request form you can always describe your preferred date or period in free text – we check availability and get back to you 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 and Kaiserslautern. We can also run the course exclusively for your team.

Can the course be tailored to our team?

Yes. Tailor-made courses cost approx. €4,500 more, depending on the topic and by arrangement. We agree content, examples and exercises with you in advance.

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