Event

AI agents in customer service

Process customer inquiries in a structured manner, answer them in a well-founded manner

Customer inquiries via email often pile up faster than they can be answered, and support teams spend a lot of time reviewing, researching, and formulating.

AI agents can assist here, but only if their answers are reliable. The key to this is Retrieval-Augmented Generation (RAG): Instead of responding freely, agents targetf stored company knowledge. The workshop shows how this works in detail using the example of the no-code or low-code platform n8n, with the construction of a complete email support workflow demonstrated step by step and live.

Content of the workshop:

  • Automatically analyze, classify, and route customer emails
  • Integrate corporate knowledge using RAG
  • Prepare knowledge documents and make them usable in a vector store
  • Retrieve real-time customer or order data via APIs and agent tools
  • Generate source-based, structured response drafts
  • Integrate checkpoints, human approvals, and targeted handoffs to support teams

Objective: Participants will be shown how AI agents with RAG and Agent Tools. This should serve as a basis for your own use in customer service.

Target group: Employees and managers who are responsible for customer inquiries or comparable processes in small and medium-sized companies.

Technical knowledge: basic knowledge of APIs, workflows, and AI agents is helpful.

The digital workshop series will be jointly organized by Mittelstand-Digital Zentrum Spreeland and the EDIH pro_digital.

Register via the MDZ Spreeland homepage! 

The digital workshop series at a glance:

Aktualisiert am 26.08.2026

Event details

September 15, 2026 | 1 p.m. - 3:30 p.m.

Online

Free of charge, please register in advance

Experience level

Advanced

Registration

On the event page at MDZ Spreeland.

Registration deadline is September 14, 2026, 1:00 p.m.

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