AI in customer service
Customer service in the era of artificial intelligence is entering an entirely new dimension.
Ideal for teams that…
Hands-on AI and data analytics workshops — built around your team's real cases.
Understand what AI can and cannot do in customer service — tools, language models, agent assistants
Write effective prompts — from the basics to techniques that limit hallucinations and wrong answers
Build and maintain knowledge bases for AI so agents and customers find information faster
Automate reporting and ticket analysis so decisions rest on data
Practice voice conversations with AI — communication and handling difficult customer situations
Design AI agents in no-code environments — from simple bots to full service scenarios
Assess ready-made AI tools and other companies' deployments against your own processes
Adopt AI consciously — benefits and technological, legal, and ethical risks (AI Act, GDPR, model bias)
What we actually do
- · Module 1 – Introduction to AI in Customer Service What AI is and how it supports customer service Overview of tools: Intercom, Zowie, Zendesk, ChatGPT, Gemini, Claude Workshop: configuring AI tools for customer interactions Workshop: basics of prompt engineering for effective communication Workshop: advanced prompting techniques and error minimization
- · Module 2a – Intelligent Knowledge Bases & Answer Generation Workshop: creating and updating customer-facing knowledge bases Workshop: AI-generated answers from knowledge bases (RAG) Workshop: analyzing historical tickets to expand the knowledge base (ChatGPT, Gemini, Grok)
- · Module 2b – Data Analysis & Automation in Customer Support Workshop: generating reports and insights from ticket history Automating customer service workflows with AI (Zowie, Intercom, n8n) Workshop: real-time AI support for agents — recommendations and suggested answers
- · Module 2c – Voice Communication & Conversation Simulations Workshop: practicing voice interactions with ElevenLabs, HeyGen Case study: deploying a voicebot for customer service
- · Module 3 – Building AI Agents for Customer Support What is an AI agent? Workshop: creating simple AI agents for support in GPTs, Gems, n8n Teaching agents company-specific knowledge (RAG – Retrieval-Augmented Generation) Case studies: AI adoption in customer service Review of ready-made AI solutions (Intercom, Zowie, Zendesk)
- · Module 4 – Opportunities, Risks & Wrap-up Key benefits of AI in customer service Risks: technological, legal, and ethical (AI Act, GDPR, bias) Organizational challenges in implementing AI Summary & Q&A
From brief to retro in 30 days.
Brief & diagnosis
A call with the team lead + a short survey for participants. We define goals, gap and context.
Program customization
We adapt modules, case studies and code examples to your stack. Approval in 5 days.
Workshop
Trainer-led sessions, hands-on, code review. Mentor available between sessions too.
Retro + report
Outcome report for the team and lead. 30 days of consulting included.
Send a brief. We'll reply within 1 day.
After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.
Thank you!
We'll get back to you within 1 business day.
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