Messenger support: answers from your knowledge base, calls a human in time

The scenario reads every message for intent and mood, answers from your knowledge base and orders sheet, and hands complaints or requests for a human straight to a person.

  • The customer's mood is detected — an escalation goes to a human at once
  • Answers come from your knowledge base and orders, nothing invented
  • Voice notes are understood just like text
  • The conversation's context is kept — next time it continues rather than restarts
Postgres Chat MemoryGoogle Docs ToolGoogle Sheets ToolSupabase ToolWhatsApp

How it works

To move data from Google Docs to Google Sheets automatically, use a ready-made scenario — no manual exports.

  1. Starts when: WhatsApp Trigger
  2. Check: Voice or Text
  3. If yes: Download media
  4. Then: Transcribe1
  5. Check: Merge
  6. Then: intent classifier
  7. Check: Merge4
  8. Then: Aggregate
  9. Then: Human intervention
  10. Then: Owner escalation
  11. Then: Human request.
  12. Then: Critical complaint.
  13. Check: Merge3
  14. Then: Aggregate3
  15. Then: Customer service AGENT
  16. Then: Historial Chat and feedback
  17. Then: Aliment context for next messages
  18. Then: Send message
  19. Then: sentiment classifier
  20. Then: privacy classifier
  21. Then: Generate conv context
  22. If no: Text
  23. Then: OpenAI Chat Model8
  24. Then: OpenAI Chat Model10
  25. Then: OpenAI Chat Model11
  26. Then: Think1
  27. Then: Structured Output Parser
  28. Then: Structured Output Parser1
  29. Then: Postgres Chat Memory
  30. Then: Structured Output Parser2
  31. Then: Knowledge base
  32. Then: orders database
  33. Then: OpenAI Chat Model
  34. Then: OpenAI Chat Model1
  35. Then: OpenAI Chat Model2
  36. Then: Supabase1

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