This is the opening paragraph. It should hook the reader immediately with a relatable business problem or compelling statistic. Speak directly to executives: "Your customer service team faces an impossible equation..."
Second paragraph builds on the problem and introduces the solution. Keep paragraphs short (3-4 sentences max). Use real company names and specific numbers whenever possible.
Main Section Heading
Start with context. Why does this section matter? What will they learn?
💡 Key Insight Box
Use these boxes for critical insights, important warnings, or "aha!" moments. They break up text and draw attention to what matters most. Like this: "70% of successful AI pilots fail to scale. Here's why..."
Subsection with Real Example
Company Name: What They Did
- Result: $40M saved in 2024 (specific number)
- Timeline: 6 months from pilot to production
- Team Size: 5 people
Then explain HOW they did it in business terms (no jargon). What decisions did they make? What obstacles did they overcome?
Term Cards (Optional - for terminology chapters)
📊 Technical Term (Business Translation)
Definition: Clear definition in one sentence. No jargon. Explain what it DOES, not how it works.
Analogy: Relate it to something executives know. "Like a restaurant menu that tells you what you can order..."
Why it matters: Business impact. "This lets you integrate AI without building from scratch, saving $500K in development costs."
Example: "Our app calls the OpenAI API every time a user asks a question."
Decision Framework or Checklist
End chapters with actionable frameworks. Give executives something they can use immediately:
- First Decision Point: If X, then do Y. If Z, then do A.
- Second Decision Point: Red flags to watch for...
- Third Decision Point: Success metrics to measure...
📖 Real-World Story or Case Study
Use these boxes for stories, case studies, or detailed examples. They provide context and make concepts concrete. Start with a problem, show the solution, share the results.
"Walmart faced inventory problems costing $100M annually. They implemented AI forecasting. Within 6 months, waste dropped by 30%, saving $30M in Year 1."
Key Takeaways
- Key Point 1: Customer service AI cuts costs 40-70% while improving satisfaction
- Key Point 2: Start with high-volume, routine tasks for quick wins
- Key Point 3: Budget $50K-$200K for SMB implementations
Final paragraph: Call to action or transition to next chapter. "Now that you understand the ROI potential, let's look at how to evaluate vendors in Chapter 3..."