Become A Master In Ai Customer Service

Learn how to avoid costly AI mistakes, boost customer satisfaction, cut wait times, and lead a future-ready support team

What you'll learn

Design a customer service AI strategy that blends automation with the human touch for maximum impact.

Implement AI tools to reduce wait times and ticket volumes without increasing agent burnout.

Measure and optimize AI performance using key metrics like CSAT, NPS, and first-response time.

Build a scalable AI-human workflow that adapts to rising customer expectations.

Identify and avoid the 7 most common AI deployment mistakes that damage customer satisfaction.

Requirements

No AI or technical background required. A basic understanding of customer service operations will help, but all core concepts will be explained clearly.

Description

Customer expectations are at an all-time high and the rush to implement AI in customer service is real. But here’s the truth: most AI deployments fail to improve customer satisfaction, and some even make it worse. In this masterclass, you’ll learn exactly how to avoid the seven most common AI mistakes, so you can deploy AI confidently, protect your brand reputation, and deliver measurable results.Designed for customer service managers, heads of support, and CX leaders, this course combines practical strategies, real-world case studies, and actionable templates you can apply immediately. You’ll discover how to blend automation with the human touch, use AI to cut response times without burning out your agents, and track the right metrics to keep performance high.Whether you’re just starting with AI or looking to optimize an existing setup, this masterclass will give you the frameworks, playbooks, and confidence to lead your team into the future of customer service.What you’ll learn:The 7 critical AI deployment mistakes — and how to avoid themProven frameworks to boost CSAT while reducing costsHow to integrate AI without losing the human touchMetrics that matter: how to measure and improve AI performanceReal-life case studies from top-performing teamsBy the end of this course, you’ll know exactly how to turn AI into your competitive advantage — instead of your biggest risk.

Overview

Section 1: Introduction to AI in Customer Support

Lecture 1 Introduction

Lecture 2 From Sh*tty Chatbots to Conversational AI

Lecture 3 The Basics of Generative AI

Lecture 4 The Essentials of Conversational AI

Lecture 5 Why AI is Transforming Customer Support

Section 2: Building an AI-Powered Support System Without Code

Lecture 6 Building Your First AI Support

Lecture 7 Overview of Training Assets

Lecture 8 Building a Knowledge Base for AI

Lecture 9 Creating Canned Responses

Lecture 10 DOs and DON’Ts of Training Materials

Lecture 11 How Smart AI Handles Escalations Like a Pro

Lecture 12 Setting Up Tones and Formality Levels

Lecture 13 Building Your First Chatflow

Lecture 14 Assistant mode vs. Intent

Lecture 15 AI-First vs Chatbot + AI: Why One of These Will Actually Work for You!

Lecture 16 Automate a Sales Meeting Request with AI Missions

Lecture 17 Using AI for Multi-Channel Support: Chat, Email, and Beyond

Lecture 18 Multilanguage Support

Lecture 19 Improve team performance with Inboxes AI

Lecture 20 Excercise

Section 3: Advanced AI-Driven Workflows for Complex Support Needs

Lecture 21 Introduction to AI for Complex Support

Lecture 22 Building a Prioritization System

Lecture 23 Advanced Workflow Automation with AI

Lecture 24 Gather extra info

Lecture 25 Excercise: Automate a Complex Workflow Using AI

Section 4: Case Studies of AI Success in Customer Support

Lecture 26 How TeamSystem Reduced Workload by 60% and Boosted CSAT by 20%

Lecture 27 $100M SaaS CEO Shares feedback about AI for Customer Service

Section 5: Continuous Improvement and Scaling with AI

Lecture 28 Monitoring AI Performance Over Time

Lecture 29 Continuous AI Retraining and Improvement

Customer service managers, heads of support, and CX leaders who want to leverage AI to improve efficiency, boost customer satisfaction, and future-proof their teams without falling into costly technology traps.