1️⃣ Automation Overview Process Summary The automation agent manages incoming customer support emails related to orders. It reads incoming emails, identifies the request type (refund, shipping status, cancellation, product question), fetches order information from Shopify, and generates an appropriate response or escalates the request. Key Efficiency Opportunity Customer support teams spend large amounts of time manually reading, categorizing, and replying to repetitive questions like: “Where is my order?” “How do I return this?” “Can I cancel my order?” AI automation can handle 70–80% of these repetitive queries automatically, allowing human agents to focus only on complex cases. --- 2️⃣ AI Agent Role Definition Agent Name Support Triage AI Agent Main Responsibilities • Read incoming support emails • Identify the customer's intent • Retrieve order information • Generate personalized responses • Categorize support tickets • Escalate complex issues to human agents Tasks Handled Automatically Email classification Order lookup Shipping status replies Return instructions FAQ responses Ticket tagging --- 3️⃣ Workflow Architecture Step-by-Step Workflow Step 1 — Email Trigger Customer sends email to support inbox. ↓ Step 2 — Email Capture Zapier detects a new email in Gmail support inbox. ↓ Step 3 — AI Intent Classification Email content is sent to the AI model to determine intent: Examples: Order status Refund request Cancellation Product question Complaint Unknown ↓ Step 4 — Order Data Lookup If the email contains an order number: Zapier queries Shopify API Retrieves order status ↓ Step 5 — AI Response Generation AI generates a response using: customer name order data shipping status support templates ↓ Step 6 — Response Delivery Automation sends email reply automatically. ↓ Step 7 — Ticket Logging Data saved in Airtable: customer email issue type order number response status ↓ Step 8 — Escalation (if needed) If the request is complex: Slack alert sent to support team. --- 4️⃣ Tool Integration Map Tools Used Gmail → Receives customer support emails Zapier → Main automation engine connecting all tools OpenAI API → Classifies email intent and generates responses Shopify → Provides order information Airtable → Stores ticket data and analytics Slack → Alerts team about complex issues --- Tool Interaction Flow Gmail → Zapier → OpenAI → Shopify → OpenAI → Gmail ↓ Airtable ↓ Slack --- 5️⃣ Trigger & Action Logic Workflow Trigger Trigger: New email received in support inbox --- Automated Actions 1. Extract email text 2. Send text to AI for classification 3. Detect order number 4. Fetch order data from Shopify 5. Generate response 6. Send reply email 7. Log ticket in Airtable --- Conditional Logic IF email contains order number → Query Shopify order IF intent = shipping status → Send automated tracking reply IF intent = refund request → Send return policy + instructions IF intent = complaint or unclear → Escalate to human agent --- 6️⃣ AI Decision Points Where AI is Needed 1. Email intent classification 2. Order number extraction 3. Response generation 4. Sentiment detection --- Example AI Prompt Intent Classification Prompt Classify this customer support email into one category: Categories: - Order Status - Refund Request - Order Cancellation - Product Question - Complaint - Other Email: {{email_text}} Return only the category. --- Response Generation Prompt You are a helpful ecommerce support assistant. Customer email: {{email_text}} Order data: {{order_status}} Write a friendly support response that solves the issue clearly. Keep it concise and professional. --- 7️⃣ Error Handling & Safeguards Common Failure Scenarios Missing Order Number Solution: Send automated reply asking for order number. --- Shopify API Failure Solution: Retry API request 2 times → escalate if failed. --- Low AI Confidence Solution: Route message to human support. --- Incorrect Classification Solution: Allow manual correction inside Airtable. --- 8️⃣ Automation Implementation Plan Setup Steps 1. Connect Gmail to Zapier 2. Create Zap trigger: New Email 3. Send email text to OpenAI API 4. Parse order number using regex 5. Connect Shopify API 6. Create response generation step 7. Send email via Gmail 8. Store data in Airtable 9. Create Slack alert for escalations --- Testing Process Test with sample emails: Order tracking request Refund request Complaint email Missing order number Check: AI classification accuracy Response quality Shopify lookup success --- Optimization Suggestions • Add knowledge base retrieval (RAG) for better responses • Train AI with historical support emails • Add customer sentiment detection • Create dashboard in Airtable for support analytics --- If you want, I can also give you 10 more high-quality sample tests like this that are perfect for selling this prompt on PromptBase or marketplaces.