Event monitoring with urgency rating and alerts

The scenario collects a stream of events, the AI rates their severity, and the critical ones go out at once as an alert to your messenger, email and SMS.

  • Events arrive and get sorted on their own
  • The AI rates the urgency of each
  • The critical — an instant alert
  • Duplicates are filtered out
Webhook
Set it up for yourselfScriptera

How it works

To get Postgres notifications in Slack, you don't need a developer: a ready-made scenario watches events and sends messages for you.

  1. Starts when: Schedule: Poll APIs Every 2 Minutes
  2. Then: Workflow Configuration
  3. Then: Fetch Flight & Weather Data
  4. Then: Rate Limit Handler
  5. Then: Validate & Normalize Data
  6. Then: Check Idempotency & Deduplication
  7. Check: Is Duplicate Event?
  8. If no: AI Agent: Disruption Prediction & Analysis
  9. Then: Apply Operational Rules Engine
  10. Check: Route by Severity & Type
  11. If yes: Store: Critical Events DB
  12. Then: Alert: OCC Slack Channel
  13. Then: Email: Ground Staff Notification
  14. Then: SMS: Customer Service Alert
  15. Then: Prepare Passenger Notification Data
  16. Check: Requires Rebooking?
  17. If yes: Trigger Rebooking Workflow
  18. Check: Merge All Notification Paths
  19. Then: Generate Dashboard Metrics
  20. Then: Store: Dashboard Metrics DB
  21. If no: Store: High Priority Events DB
  22. If no: Store: Medium Priority Events DB
  23. If no: Store: Low Priority Events DB
  24. Starts when: Webhook: Real-Time Event Ingestion
  25. Then: OpenAI GPT-4
  26. Then: Structured Output: Disruption Analysis

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

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