Manual monitoring of thousands of telemetry parameters across a satellite fleet creates alert fatigue and delays critical response. This custom workflow automates the ingestion of real-time data streams, applies statistical and ML models to detect anomalies, and intelligently routes validated alerts to the correct engineering sub-team via systems like ServiceNow or Jira. The operational upside is a measurable reduction in mean time to detection (MTTD), protecting asset health and mission continuity by ensuring the right person sees the right signal at the right time.




