The AI Knowledge Base Training Playbook
By the end of this course, you'll have a fully structured AI-ready knowledge base playbook tailored to your content, team, and customers.
See What's Inside
📒 1.1 Understanding AI Basics
💼 1.2 Case Study: Revolutionizing Customer Service with AI at HotelPlanner
📒 1.3 The Role of a Knowledge Base
💼 1.4 Case Study: How NatWest Cut Fraud & Boosted CX with AI
✔️ 1.5 Knowledge Check
🧠 1.6 Module 1: Building an AI-Ready Knowledge Base
📒 2.1 Evaluating Existing Content
FREE PREVIEW💼 2.2 Case Study: Enhancing AI Chatbots with Smarter Content at BACA Systems
📒 2.3 Gathering User Feedback
💼 2.4 Case Study: Enhancing Chatbot Success with User-Centric AI Improvements
✔️ 2.5 Knowledge Check
🧠 2.6 Module 2: Evaluate Your Knowledge Base Like a Pro
📒 3.1 Best Practices in Content Organization
💼 3.2 Case Study: How Virgin Money Fixed Its Chatbot Missteps
💼 3.3 Module 3: Structure = Smarter AI
📒 3.4 Creating Meta Tags and Annotations
💼 3.5 Case Study: How Augurian Improved Click-Through Rates and Boosted Revenue
✔️ 3.6 Knowledge Check
🧠 3.7 Module 3: Structure Like a Strategist: Organize for AI Power
📒 4.1 Selecting AI Tools for Your Needs
💼 4.2 Case Study: How Sephora Used AI Chatbots to Revolutionize Customer Engagement
📒 4.3 Implementing AI Features
💼 4.4 Case Study: Claude Powers HappyFox’s AI Transformation
✔️ 4.5 Knowledge Check
🧠 4.6 Module 4: Select & Set Up the Right AI Tools for Your Support Stack
📒 5.1 Setting KPIs for Your Knowledge Base
💼 5.2 Case Study: Million Dollar Baby Co. Accelerates Support Efficiency with Kodif
📒 5.3 Iterative Improvement Strategies
💼 5.4 Case Study: How Alibaba Used AI to Boost Customer Satisfaction
✔️ 5.5 Knowledge Check
🧠 5.6 Module 5: Measure What Matters: KPIs & Continuous AI Improvement
📒6.1 Course Completion & Next Steps
📖 6.2 Download Your Workbook