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AI Course in Customer Service – Modern Artificial Intelligence Techniques in Customer Relationship Management

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Training process

Training needs analysis

If you have specific requirements regarding the training programme, we will carry out a training needs analysis for you. This will guide us on which aspects of the programme should receive greater emphasis, so that the training programme meets your specific needs.

What will you gain?

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Spot real AI use cases - You will learn where AI truly improves customer service and where it may introduce risk. This will help you choose solutions that boost speed, quality, and consistency in customer interactions.

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Design better service workflows - You will learn how to combine human work and AI tools in one service process. This will help you shorten response times, organize escalations, and reduce repetitive customer requests.

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Use chatbots more effectively - You will understand how chatbots and virtual assistants work and how to design their communication. This will help you build solutions that answer accurately and keep customers engaged.

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Personalize customer contact - You will explore AI-driven personalization techniques that help you prepare more relevant offers, messages, and contact scenarios. This leads to stronger customer engagement and better results.

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Connect AI with CRM - You will see how to integrate AI with CRM systems to analyze contact history faster, anticipate customer needs, and support sales and service teams in their daily customer-facing work.

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Read customer feedback better - You will learn how to analyze customer feedback in a structured way. This will help you identify recurring issues, prioritize improvements, and spot signals that affect customer satisfaction.

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Reduce legal and ethical risks - You will understand how to use AI in line with ethics and data protection rules. This will help you protect customer privacy, stay compliant, and build greater trust in your organization.

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Start working with Chat GPT - You will practice your first steps with Chat GPT in customer service and sales negotiations. You will learn to write useful prompts, assess responses, and support everyday communication.

Training programme

1. Introduction to artificial intelligence

  • definition and basic concepts,
  • history of AI development,
  • application of AI.

2. Artificial Intelligence in customer service

  • overview of AI technologies used in customer service,
  • advantages and challenges related to implementing AI in customer service,
  • examples of companies effectively using AI in customer service,
  • the future of AI in customer service: trends and forecasts.

3. Chatbots and virtual assistants

  • introduction to chatbots and virtual assistants,
  • principles of operation,
  • application of chatbots in customer service,
  • creating an effective chatbot.

4. Personalization of customer service using artificial intelligence

  • personalization techniques using AI,
  • creating personalized offers and communication,
  • analysis of customer data for the purpose of service personalization.

5. Customer Relationship Management (CRM) supported by AI

  • introduction to CRM systems,
  • integration of AI with CRM systems,
  • benefits of using AI in customer relationship management,
  • analysis of use cases of AI-supported CRM.

6. Analysis of customer feedback

  • understanding and analysis of customer opinions.

7. Ethics and security in artificial intelligence applications

  • ethical aspects of the use of AI in customer service,
  • data privacy and compliance with regulations (GDPR, etc.),
  • building customers’ trust in AI.

8. Chat GPT as a customer service assistant

  • explanation of key concepts and presentation of tools,
  • benefits of using Chat GPT in customer service,
  • risks associated with the use of Chat GPT,
  • Chat GPT – first steps.

9. Sales negotiations

  • negotiation techniques,
  • use of AI for analysis and support of negotiations.

What are the prerequisites for participating in the training?

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Customer service basics - You should understand the basic stages of customer service, such as handling requests, answering questions, and resolving simple issues during customer interactions.

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Confidence with computers - You should be comfortable using a computer, a web browser, and online forms so you can work smoothly with the example tools and exercises covered in the training.

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Basic data awareness - You should understand what customer data, contact history, and user feedback are, so you can follow examples of personalization and the use of AI and CRM more easily.

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Openness to new tools - You should be ready to test new digital solutions and reflect on how they work, because the training includes practical use of chatbots, CRM systems, and Chat GPT.