Traditional network operations are reactive, with NOC teams drowning in alerts and performing manual root-cause analysis. A custom multi-agent AIOps workflow automates this by deploying specialized agents for anomaly detection, incident correlation, and predictive failure forecasting. These agents ingest streaming telemetry from tools like SolarWinds or Dynatrace, apply ML models for time-series and graph analysis, and correlate events to identify the probable root cause. This eliminates alert fatigue and shifts the focus from detection to preemptive action, slashing mean time to repair (MTTR) and freeing engineering resources for strategic work.




