Sorting chat requests by topic and routing to the on-call person

The scenario reads requests from your work chat, uses AI to detect the topic, finds the current on-call person from the calendar, and routes the request accordingly.

  • The request topic is detected by AI
  • The current on-call person is found via the calendar
  • Every question goes to the right place
  • Requests don't stall in a shared channel
WebhookMCP Client ToolQdrant Vector StoreEmbeddings Google Gemini
Connect Postgres PGVector Store and runScriptera

How it works

To connect Microsoft Outlook and Postgres PGVector Store, you don't need a developer: a ready-made scenario links them in minutes.

  1. Starts when: GetQuestions
  2. Then: SetVars
  3. Then: ValidateAndExtractMessage
  4. Then: AI Agent
  5. Then: Parse AI Response
  6. Then: GetDutyEvent
  7. Then: Inject duty name
  8. Check: Switch
  9. Then: OpenRouter Chat Model
  10. Then: Mattermost
  11. Then: Qdrant Vector Store
  12. Then: Embeddings Google Gemini

You can launch this Microsoft Outlook + Postgres PGVector Store integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.

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