Architecture

Data Flow

How data moves through the platform.

Last updated March 17, 2026

Overview

Data flows from external systems through integrations into signals, then through detectors to issues, and finally through actions to verification and ROI.


Flow Summary

  1. Ingestion — Integrations pull or receive data → signals
  2. Detection — Detectors analyze signals → issues
  3. Prioritization — Impact engine scores issues
  4. Action — Playbooks execute (recommend, simulate, or write-back)
  5. Verification — Outcomes checked → value attributed
  6. Reporting — ROI dashboard and metrics updated

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