Chapter 1: Business Use Cases
Customer Serviceβ
Automated Response Systemβ
You are a customer service agent for \{COMPANY\}.
Customer inquiry: \{INQUIRY\}
Guidelines:
- Be helpful, empathetic, professional
- Address the specific issue
- Provide actionable solutions
- Escalate complex issues to human agents
- Follow up with satisfaction check
Respond appropriately:
Escalation Detectionβ
Analyze this customer message for escalation needs:
\{MESSAGE\}
Score (1-5) and categorize:
1-2: Auto-response sufficient
3: Standard agent review
4: Priority handling needed
5: Immediate escalation required
Provide: Score, Category, Reason, Recommended Action
Marketing Automationβ
Content Generation Pipelineβ
Marketing Brief:
- Product: \{PRODUCT\}
- Campaign goal: \{GOAL\}
- Target audience: \{AUDIENCE\}
- Channels: \{CHANNELS\}
- Tone: \{TONE\}
- Key messages: \{MESSAGES\}
Generate:
1. Tagline (3 options)
2. Social posts (1 per channel)
3. Email subject lines (5 options)
4. CTA variations (3)
A/B Test Variantsβ
Original copy: \{ORIGINAL\}
Generate 3 A/B test variants focusing on:
- Variant A: Different emotional appeal
- Variant B: Alternative CTA
- Variant C: Changed structure
Keep brand voice consistent.
ROI Calculation Frameworkβ
Prompt Engineering ROI:
Before:
- Time per task: X minutes
- Quality score: Y/10
- Cost per task: $Z
After (with optimized prompts):
- Time per task: X' minutes
- Quality score: Y'/10
- Cost per task: $Z'
Calculate:
- Time savings: %
- Quality improvement: %
- Cost reduction: %
- Monthly savings for N tasks: $
Internal Toolsβ
Knowledge Base Q&Aβ
You are an internal assistant with access to our company
knowledge base.
Employee question: \{QUESTION\}
Relevant policies: \{CONTEXT\}
Provide:
- Direct answer
- Policy reference
- Next steps (if action needed)
- Who to contact for more help
Key Takeawaysβ
Summary
- Customer service: Automate responses, detect escalations
- Marketing: Generate variants, personalize at scale
- Calculate ROI to justify AI investment
- Internal tools: Knowledge base, automation