Everyone’s Automating. Few Are Actually Ready

Discover what top CX leaders are doing before they plug in a single bot—and how you can do the same.

  • A clear understanding of what “AI readiness” actually looks like: No more guesswork or buzzwords—just real clarity on how to prepare your team and processes for automation.

  • The confidence to lead your team through AI change: Whether they’re excited or anxious, you’ll know exactly how to engage your team, build trust, and get buy-in.

  • A step-by-step rollout plan you can start using right away: We’re not here for theory—you’ll leave with a real strategy you can test and improve, no tech background required.

  • The ability to spot and fix red flags before they slow you down: Learn how to identify (and avoid) the common mistakes that derail CX automation projects before they begin.

  • A new level of leadership credibility inside your org: You won’t just talk about AI—you’ll show up with a plan that makes sense for your team, your tools, and your goals.

Don’t Just Roll Out AI. Roll It Out Right.

This is the course support leaders are using to get ahead—before AI causes more problems than it solves.

    1. 1.1 Understanding AI and Its Impact

    2. 1.2 Case Study: How H&M Used AI to Boost Customer Engagement

    3. 1.3 Setting Expectations for AI Implementation

    4. 1.4 Case Study: Lessons from Tay, Microsoft's Chatbot

    5. 1.5 🛠 Practical Exercise: Map Your AI Opportunities

    6. 1.6 🛠 Practical Exercise: Setting Practical AI Goals for Your Team

    7. 1.7 Module 1: Knowledge Check

    1. 2.1 Defining Your AI Strategy

    2. 2.2 Identifying Key Performance Indicators

    3. 2.3 Case Study: How Bank of America Scaled Support with AI

    4. 2.4 🛠 Practical Exercise: Build Your AI KPI Scorecard

    5. 2.5 🛠 Practical Exercise: Draft Your AI Roadmap

    6. 2.6 🛠 Practical Exercise: Build Your AI-Powered Workflow

    7. 2.7 Case Study: AirAsia’s AI-Powered Support Transformation

    8. 2.8 Module 2: Knowledge Check

    1. 3.1 Streamlining Processes with AI

    2. 3.2 Case Study: How Lyft Used AI to Improve Customer Support

    3. 3.3 Training Your Team for AI Readiness

    4. 3.4 🛠 Practical Exercise: AI Workflow Redesign

    5. 3.5 Module 3: Knowledge Check

    1. 4.1 Fostering an AI-Driven Mindset

    2. 4.2 Engaging Employees in AI Initiatives

    3. 4.3 Case Study: How Starbucks Boosted AI Adoption Through Engagement

    4. 4.4 🛠 Practical Exercise: Design Your AI Engagement Strategy

    5. 4.5 🛠 Practice Exercise: Overcoming AI Resistance

    6. 4.6 Module 4: Knowledge Check

    1. 5.1 Evaluating AI Impact

    2. 5.2 Iterating for Future Growth

    3. 5.3 Module 5: Knowledge Check

    1. 🎓 Wrap-Up: You’re Ready to Get Started

    2. Download Your Workbook

About this course

  • $49.00
  • 31 lessons
  • 0.5 hours of video content