TelcoNet AI Copilot, an enterprise-grade Agentic AI assistant for 5G, 4G LTE, IMS, VoIP and cloud-native network operations

:police_car_light: What if telecom engineers could investigate a 5G, LTE, Volte, VoNR, IMS, RTP, Kubernetes incidents in minutes - not hours?

I’ve built TelcoNet AI Copilot, an enterprise-grade Agentic AI assistant for 5G, 4G LTE, IMS, VoIP and cloud-native network operations.

Unlike a conventional chatbot, it coordinates multiple specialist agents to investigate incidents using real operational evidence.Its Now Production Ready.

:gear: How it works:

→ A LangGraph Supervisor routes each investigation
→ 5G/LTE Agent diagnoses mobility, registration and session failures
→ VoIP/SIP Agent analyzes signaling, RTP and codec issues
→ RCA Agent ranks evidence-backed root-cause hypotheses
→ Reporting Agent generates summaries and dashboards
→ MCP connects agents with Grafana, Prometheus, Loki, Tempo and configuration data
→ RAG grounds answers using 3GPP specifications, runbooks and validated incidents
→ Groq provides high-speed LLM inference

:locked_with_key: Built for enterprise operations:

:white_check_mark: Explainable reasoning and evidence traces
:white_check_mark: Confidence, grounding and quality scores
:white_check_mark: Human approval before production changes
:white_check_mark: Guardrails against prompt injection and unsafe actions
:white_check_mark: OIDC/JWT authentication and role-based access
:white_check_mark: Tenant isolation, rate limiting and audit logs
:white_check_mark: AI latency, token throughput and tool-success observability
:white_check_mark: Closed-loop feedback from validated resolutions

The objective is simple:

:chart_decreasing: Reduce incident-triage time
:high_voltage: Accelerate root-cause analysis
:bullseye: Improve recommendation accuracy
:shield: Keep operators in control
:electric_plug: Remain vendor-neutral through MCP

Tech stack: Python, FastAPI, LangGraph, Groq, MCP, Qdrant, React, TypeScript, Grafana, Prometheus, Loki, Tempo, OpenTelemetry, Docker and Kubernetes.

This project demonstrates how Agentic AI can evolve from a conversational assistant into a secure, explainable and governed operations copilot.

What telecom workflow should I automate next—alarm correlation, network configuration analysis, predictive assurance or automated remediation?
Complete walkthrough will be followed with a video. Next target is Agentic AI for Enterprise Finops & Healthcare Assistsnt.

LinkedIn: :backhand_index_pointing_down: