- Veröffentlichung:
28.04.2026 - Lesezeit: 10 Minuten
AI in customer service seminar – solve customer queries faster, increase service quality, maximize efficiency
On request
2 days
Online, Munich or in-house
On request
German or English
Digital participant certificate
Artificial intelligence as a success factor in modern service – better communication, faster processing, satisfied customers: Customer service is in the midst of a digital transformation. Customers expect fast responses, personalized communication and consistent solutions across all channels. Traditional service processes are increasingly reaching their limits. AI-supported solutions – from chatbots and AI agents to intelligent routing – enable service organizations to achieve a completely new level of quality: efficient, scalable and personalized.
Our AI in customer service seminar shows you in a practical way how modern automation solutions and artificial intelligence simplify everyday service, automate routine tasks, relieve employees and improve the customer experience. You will learn about modern tools (e.g. ChatGPT, Copilot, AI agents), specific use cases and methods for using AI strategically, responsibly and effectively.

Contents and procedure of the AI in customer service seminar
The training is practice-oriented – with immediately applicable methods, tools and AI-supported exercises for your everyday work.
- Why AI is changing service in the long term
- Customer expectations in the digital world
- Omni-channel communication as the future standard
- Relevant AI trends, technologies & market movements
- Opportunities, challenges & limits
- Functionality of generative AI & large language models
- Technologies & tools: Chatbots, custom GPT, AI agents, voice bots
- Differences: generative AI vs. rule-based bots
- Overview: OpenAI, Microsoft, Google & other platforms
- Automated request processing (chat, e-mail, self-service)
- AI-supported cross- & upselling recommendations
- Intelligent routing & smart escalations
- AI in the back office & ticketing
- Personalization & individual customer experiences
- Analysis of interactions & tickets
- Sentiment analyses & automated feedback monitoring
- Performance analyses for teams & processes
- AI to identify bottlenecks and optimization potential
- Analyze process landscape
- Identify optimization and automation potential
- Introducing AI step by step: Pilot, rollout, scaling
- Interaction of CRM, ERP, knowledge management, telephony
- System limits & technical possibilities
- Target image development & roadmap
- GDPR & handling sensitive customer data
- Transparency & traceability of AI decisions
- Risks, sources of error & protection
- Best practices for secure AI implementations
- Preparing service teams for the use of AI
- New roles & responsibilities
- Training & empowerment of employees
- Success factors for acceptance & sustainable change
- Cooperation between management, IT & service
- Identify challenges & pain points
- Potential analysis & target definition
- Development of realistic AI use cases (chatbot, routing, email automation, analytics)
- Evaluation according to benefits, effort, risks, data requirements
- Creation of a concrete pitch for your AI project
- Presentation round & feedback
What you can apply directly after the AI in customer service seminar
After the training, you will be able to use AI effectively and confidently in your data analysis:
- Develop concrete AI use cases in customer service
- Plan AI-supported workflows & define initial prototypes
- Prepare chatbots, email automation & self-service solutions
- Analyze customer interactions & generate insights
- Derive KPI-based service improvements
- Responsible & GDPR-compliant use of AI
- Preparing teams for AI & supporting change
Who is the AI in Customer Service seminar suitable for?
- Service managers & team leaders
- Customer Experience, Customer Success & Customer Care teams
- Digital, IT & Innovation Manager
- Project managers & those responsible for process optimization
- Companies that want to use AI specifically for better customer service
Participation requirements for the AI in customer service seminar
No specific prior knowledge required.
About us as a training provider
We are a management consultancy with more than 20 years of experience in digitalization, process optimization and AI transformation. Our AI seminars are practical, reality-based and designed to make service organizations noticeably better – through intelligent workflows, data-based decisions and modern customer communication.
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Your speaker - expert for AI in the service sector

Expert in AI integration, data management and digital service processes. Jonas translates AI technologies into immediately usable service use cases and shows how organizations can increase service quality and relieve teams with intelligent automation.
Request a non-binding appointment now
- Practical use cases: directly implementable AI solutions
- Individually customizable: for your customer service & your industry
- Field-proven expertise: More than 20 years of experience with data evaluation solutions, digital systems and value-adding analysis
- Experienced trainers: expertise from AI, service & management projects
- Immediately usable: workflows, prompts, process models for immediate results




TISAX and ISO certification for the Munich office only
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TISAX and ISO certification for the Munich office only
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FAQ - AI in customer service seminar
No prior technical knowledge is required. The seminar is deliberately aimed at service managers, operational teams, CX managers and digital managers who want to understand, evaluate and apply AI. All content is conveyed in a practical, understandable way and without technical jargon – with optional deep dives for those interested.
Very practical: all chapters contain concrete examples, live demonstrations, tools such as ChatGPT, Copilot or AI agents as well as directly usable templates for automation, analysis and routing. In the practical workshop, participants develop their own AI use cases – including evaluation, feasibility and pitch preparation.
Yes – expressly welcome. Participants can bring along specific challenges, tickets, processes or data. We integrate these into the workshop so that we can work directly on real problems. For in-house training, we can fully customize the entire format to your service.
Yes, as customer service often involves sensitive data, the seminar explains in detail how chatbots, automation and generative systems are used in compliance with the GDPR and EU AI Act. This includes: Data protection mechanisms, human oversight, logging, explainability, vendor risks and secure prompt use.
After the seminar, you will be able to implement initial automations (e.g. email flows, chatbot responses), routing optimizations and analysis processes directly. You will receive templates, best practices, tool recommendations and a process model that enables quick pilot projects – even without large IT resources.
AI takes over repetitive tasks such as classification, answer suggestions, ticket preparation, knowledge transfer, documentation or self-service requests. This allows employees to concentrate on demanding, customer-centric tasks. This increases motivation, quality and efficiency at the same time.
Yes, the optimal introduction of AI in service usually requires interaction between service, IT, data and management. The seminar also covers system integration, interfaces, technical possibilities and technical limits – ideal for cross-functional participation.
Traditional training courses often focus on communication, soft skills or standard processes. This seminar focuses on digital transformation, AI integration, automation, performance optimization and strategic development of service operations – in other words, on topics that will change service in the long term.
Yes – and it is even particularly effective. We fully adapt the content, examples, use cases and workshop elements to your organization, industry and systems. The result is a customized learning and transformation format that delivers direct added value.






