Support replies drafted automatically, tuned to the customer's region

The scenario reads mail in Brevo, separates real support requests from the rest, detects the customer's region and drafts a reply in a fitting tone. The team sees a summary in botHelp.

  • Customers get an answer in minutes, not half a day
  • Non-support mail is routed to a human — nothing is answered blindly
  • Tone and wording adapt to the customer's region
  • The team sees every reply as a summary in botHelp
Set it up for yourselfScriptera

How it works

Automating botHelp and Brevo takes no code: a ready-made scenario does the routine for you.

  1. Starts when: Gmail Trigger
  2. Then: Extract Email Data
  3. Then: AI Agent - Email Classification
  4. Check: If
  5. If yes: AI Agent - GEO Identifier
  6. Then: AI Agent - GEO-Optimized Support
  7. Then: Format Data For Email
  8. Then: Send a message
  9. Then: Notify Slack
  10. If no: Manual Review
  11. Then: OpenAI Chat Model - GPT-4o-mini
  12. Then: Memory - Conversation Buffer
  13. Then: Output Parser - Structured JSON
  14. Then: OpenAI Chat Model - GPT-4o-mini1
  15. Then: Memory - Conversation Buffer1
  16. Then: Output Parser - Structured JSON1
  17. Then: OpenAI Chat Model - GPT-4o-mini2
  18. Then: Memory - Conversation Buffer2
  19. Then: Output Parser - Structured JSON2
  20. Starts when: Error Handler Trigger
  21. Then: Slack: Send Error Alert

You can launch this botHelp + Brevo integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.

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