# How Telcos Build Autonomous Networks with Agentic AI

[NVIDIA Developer Blog](https://yomu.fyi/company/nvidia-developer-blog) · Amogh Dendukuri · Jun 23, 2026

**Type:** Explainer

## Summary

Telecom operators currently operate mostly within Levels 2 and 3 of the TM Forum autonomous networks taxonomy, relying on predefined scripts. Progressing to Levels 4 and 5 demands autonomous systems capable of intent comprehension, real-time telemetry sensing, and cross-domain action coordination. To address this, an autonomy platform architecture combines domain-specific reasoning models, agent harnesses, and isolated sandboxed runtimes. Workflows separate responsibilities among on-demand agents, long-running execution loops, and deep-research multi-agent systems that evaluate ranked remediation paths or design wireless algorithms. Initial experiments in simulated SR-MPLS routing and wireless physical or MAC layer design show autonomous discovery can deliver measurable gains over standard operational and engineering baselines.

## Context

Most telecom operators remain early in autonomous networking, limited to TM Forum Level 2-3 automation that executes predefined solutions across selective domains rather than Level 4-5 autonomous reasoning and cross-domain coordination.

## Approach / What changed

Deploying an integrated telco autonomy platform using specialized agent types, domain-tuned reasoning models like NVIDIA Nemotron, agent harnesses, and secure execution sandboxes via NVIDIA OpenShell and NemoClaw.

## Takeaways

- Network operations follow three agentic problem patterns: execute paths for known issues, optimize paths for measurable outcome improvements, and discovery paths for unencountered failures.
- Deep research multi-agent systems organize into planner, researcher, and orchestrator agents to simulate and rank alternative operational plans against digital twins and telemetry.
- In wireless R&D experiments, an agentic evolutionary search using NVIDIA Sionna delivered over a 3% spectral-efficiency gain against standard link adaptation baselines.

**Tags:** [Architecture](https://yomu.fyi/topic/architecture), [LLMs](https://yomu.fyi/topic/llm), [Machine Learning](https://yomu.fyi/topic/machine-learning), [Reliability](https://yomu.fyi/topic/reliability), [Scalability](https://yomu.fyi/topic/scalability)

[Read original post](https://developer.nvidia.com/blog/how-telcos-build-autonomous-networks-with-agentic-ai)