How we took a telecom operator from 1,016 engineer-hours to 60 hours using multi-agent automation - architecture breakdown Sharing this because I think it's a useful case study for anyone thinking about applying multi-agent AI to network ops and infrastructure automation. **The problem:** A Florida telecom operator was managing 254 Juniper switches manually. Every provisioning job required engineers to SSH in, run diagnostics, identify issues, generate fix commands, apply them, and update the Jira ticket. End-to-end: 1,016 engineer-hours across their fleet. **What we built:** A 3-agent system on our platform: 1. **Master Orchestrator** — receives network alerts (email / syslog), parses and classifies the issue, coordinates child agents, manages Jira integration 2. **Syslog Parser Agent** — extracts device identity, error codes, severity from raw syslog messages 3.…