PORTfolio
NOC Copilot
AI System for Network Operations Centers
AI‐driven observability and troubleshooting assistant for network operators
NOC Copilot
Overview
NOC Copilot is an intelligent assistant designed to support Network Operations Center (NOC) engineers in monitoring, diagnosing, and resolving incidents faster. It unifies telemetry, documentation, and topology data into a single retrieval‐augmented reasoning system, allowing engineers to ask natural‐language questions and receive precise, context‐aware insights.
How It Helps
NOC Copilot acts as a 24/7 AI co‐pilot that simplifies incident analysis. It retrieves the right data from multiple sources, correlates logs, alarms, and configurations, and generates actionable summaries with cited evidence. This allows operators to focus on decision‐making rather than searching through endless dashboards or documentation.
Why This Architecture Matters
This architecture combines modular RAG pipelines with guardrails, observability metrics, and policy‐based control. Each layer — from retrieval to orchestration — is independently monitored and governed through RBAC/ABAC filters, ensuring data isolation and explainable reasoning. The result is a secure, auditable, and high‐availability AI system tailored for mission‐critical network environments.
Key Benefits
01
Faster incident resolution — contextual answers within seconds.
02
Safer operations — strict RBAC/ABAC and EFS policy enforcement.
03
Explainable reasoning — all outputs cited and validated.
04
Scalable modular design — integrates new tools or data sources easily.
05
Continuous evaluation — built‐in metrics (τ1/τ2 coverage, citation quality, latency).
Interested in a Product Demo?
Tech Stack
Python · LangChain · OpenAI API · FAISS · BM25 · FastAPI · AWS Lambda · API Gateway · S3 ·
CloudWatch · Helm · Docker · Kubernetes · Prometheus · Grafana
