This workflow automates the critical bottleneck of Level 1 NOC alert triage, where engineers waste hours sifting through redundant alarms to identify the true incident and the correct responder. By integrating with monitoring tools like SolarWinds or Dynatrace, it ingests raw alerts, classifies them using ML models for severity and service impact, and enriches them with topology context and runbook links. The operational upside comes from slashing Mean Time to Acknowledge (MTTA), preventing alert fatigue, and ensuring the most qualified engineer is engaged first, which directly protects SLAs and reduces operational risk.




