INTRODUCTION FOR AI IN CUSTOMER SERVICE – SMARTER ENGAGEMENT WITH AI TOOLS
This program equips participants with the practical skills and knowledge needed to effectively leverage artificial intelligence tools to transform and enhance customer service operations. It goes beyond theory by focusing on real-world applications, allowing participants to actively engage in hands-on exercises that simulate actual workplace scenarios. Throughout the program, learners will explore how AI can be used to build intelligent chatbots that handle customer inquiries, automate repetitive communication tasks such as email replies and FAQs, summarize large sets of customer feedback or research data, and generate clear, engaging, and persuasive product or service explanations tailored to different audiences.
In addition to individual skill-building, the program emphasizes workflow integration, showing participants how to combine multiple AI tools into a unified and efficient customer service system. They will learn how to use different platforms together to streamline processes, reduce response time, and maintain consistent communication quality across all customer touchpoints. By the end of the program, participants will not only understand how AI tools function but also how to strategically apply them in daily operations, enabling them to improve productivity, enhance customer experience, and build a more scalable and efficient support workflow within their organization.
COURSE OBJECTIVES
By the end of this course, participants will be able to:
- Build and deploy simple AI-powered chatbots for customer FAQs.
- Use Gemini & ChatGPT to summarize and draft professional customer emails.
- Apply AI tools to analyze customer research via video summarization.
- Generate product explanations in mind maps & catchy customer-facing formats.
- Design a mini AI-powered workflow for customer support.
LEARNING OUTCOMES
- Automate customer query handling using AI chatbots.
- Summarize lengthy customer emails & research into clear insights.
- Write empathetic, professional, and persuasive emails with AI.
- Use mind maps to transform complex product details into easy-to-digest formats.
- Present customer insights in creative ways to boost satisfaction.
WHO SHOULD ATTEND
- Customer Service Representatives & Team Leaders
- Contact Center Agents
- Customer Experience Managers
- Business Owners & Entrepreneurs
- Anyone keen to adopt AI for better customer engagement
COURSE CONTENT
Day 1 – AI for Smarter Customer Communication
Module 1: Introduction to AI in Customer Service
- Evolution of customer service with AI
- Key benefits & risks of AI adoption
- Overview of AI tools (ChatGPT, Gemini, Claude, Napkin)
Activity: Group brainstorm – “Where can AI help our customer service team today?”
Module 2: AI Chatbots for Customer Queries
- Role of AI chatbots in FAQ handling
- No-code chatbot builders overview
- Analyzing customer question patterns for automation
Activity: Build a simple AI chatbot to answer FAQs (returns, delivery, operating hours).
Module 3: Email Summarization with Gemini
- Summarizing long customer emails into bullet insights
- AI-generated polite & professional replies
- Adjusting tone: formal, empathetic, concise
Activity: Summarize a sample customer escalation & generate 2 styles of responses.
Module 4: AI-Powered Email Writing
- Using ChatGPT to draft customer-facing emails
- Structure: Greeting → Context → Solution → CTA
- Automation of reminders & follow-ups
Activity: Write a customer welcome email & a complaint resolution reply using AI.
Module 5: Hands-On Practice: Building a Customer Email Flow
- Combine summarization + drafting for real-world scenarios
Activity: Teams handle 3 sample customer cases (late delivery, product inquiry, refund) using AI tools.
Day 2 – AI for Customer Insights & Product Communication
Module 6: AI for Customer Research – Video Summarization
- Using AI to summarize long customer research videos
- Extracting themes, pain points, and opportunities
Activity: Upload a sample research video → AI generates summary → Participants refine insights.
Module 7: AI in Product Explanation (Mind Map & Catchy Topics)
- Simplifying product details into visual mind maps (Napkin)
- Turning product descriptions into catchy sales topics
Activity: Create a mind map of a product feature set & reframe it into a catchy customer pitch.
Module 8: Multi-Format Customer Communication
- From research → to insight → to product pitch
- AI-assisted transformation of text → slides → mind map
Activity: Convert customer feedback into:
- A summary email
- A mind map for the team
- A catchy product explanation
Module 9: Final Project – AI-Powered Customer Service Workflow
- Teams design a mini AI system:
- AI chatbot for FAQs
- Gemini for email summarization
- ChatGPT for email writing
- Napkin for product mind map
Activity: Group presentation – Demonstrate a customer service flow powered by AI.
Module 10: Wrap-Up & Next Steps
- Best practices for AI adoption in customer service
- AI ethics & risks in customer communication
Roadmap for advanced learning (AI analytics, voice bots)
Keywords: AI in customer service, customer services training
