Your First AI Workflow: Email Triage and Response Drafting

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Email is the ideal starting point for AI workflow automation. Almost everyone has too many emails, the structure is predictable, and the time savings are immediate and measurable.

The Workflow We Are Building

Goal: Automatically categorise incoming emails and draft initial responses for common inquiry types.

Trigger: New email arrives in Gmail or Outlook Step 1: Extract the sender, subject, and body text Step 2: Use AI to classify the email type (inquiry, complaint, request, FYI, etc.) Step 3: If it is an inquiry type you handle often, use AI to draft a response Step 4: Save the draft in your email client for human review and sending Step 5 (optional): Log the email and classification to a spreadsheet for tracking

Setting Up in Zapier

Create a new Zap:

  1. 1.Trigger: Gmail / New Email (or filter: New Email Matching Search for specific senders or keywords)
  1. 1.Step 1 - Extract data: Zapier pulls the email data automatically — sender, subject, body are available as variables
  • 3. Step 2 - AI Classification: Add an OpenAI action
  • Action: Send Prompt
  • Prompt: "Classify this email into one of these categories: INQUIRY / COMPLAINT / MEETING REQUEST / FYI / ACTION REQUIRED / OTHER. Reply with only the category name, nothing else. Email: [PASTE SUBJECT AND BODY VARIABLES]"
  • 4. Step 3 - Conditional branch: Add a Filter or Paths step
  • Only continue if classification equals INQUIRY
  • 5. Step 4 - Draft response: Add another OpenAI action
  • Prompt: "You are a professional assistant. Draft a helpful, concise reply to this email inquiry. Acknowledge the question, provide a useful initial response, and invite follow-up. Keep it under 150 words. Email: [EMAIL BODY]"
  • 6. Step 5 - Create draft: Add Gmail "Create Draft" action
  • To: [sender from step 1]
  • Subject: Re: [original subject]
  • Body: [AI response from step 4]

Testing and Refinement

  1. 1.Before enabling a workflow on live email:
  2. 2.Test with a sample email you forward manually
  3. 3.Review the AI classification for accuracy
  4. 4.Review the draft quality — is it good enough to be a starting point?
  5. 5.Refine the prompts based on test results
  6. 6.Enable on live email and review the first 20 drafts before reducing review frequency

What to Watch For

False positives: The AI might classify something as an inquiry when it is something else. Check the filter logic.

Draft quality: The first drafts will not be perfect. Build in human review for all drafts initially.

Sensitive emails: Add a filter to exclude emails from VIP contacts — these should never be auto-drafted.

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