Driving network incident resolution with AI agents and LLMs

Driving network incident resolution with AI agents and LLMs

https://www.telefonica.com/en/communication-room/blog/driving-network-incident-resolution-ai-agents-llms/

Publish Date: 2026-03-30 05:30:00

Source Domain: www.telefonica.com

• Increasing Network Complexity and Alarms Management: The operation of networks is becoming increasingly complex due to numerous network elements and an explosion in alarms, necessitating advanced solutions for efficient management.

• AI and ML in Incident Analysis: AI and machine learning are enabling the correlation of vast amounts of data to quickly identify the root causes of network issues, vastly improving incident analysis and troubleshooting processes.

• Use of LLMs and Chatbots: Large Language Models (LLMs) and chatbots are being utilized to assist operators by answering queries related to network incidents and incidents resolution through natural language interaction, streamlining operations.

• TELEFÓNICA’s Automation Initiatives: In the framework of the ANJ Program, TELEFÓNICA is deploying LLM and Gen-AI-based initiatives aimed at achieving autonomous network operations and enhancing the efficiency of network engineers.

• NOA and Incident Troubleshooting in Germany: In Telefonica Germany, the Network Operation Agent (NOA) exemplifies these innovations by combining reasoning mechanisms with access to operational data and documentation to offer advanced troubleshooting support.

• Benefits of AI-driven Operational Process Improvements: These initiatives lead to increased productivity, optimized analysis, reduced operational times, enhanced knowledge transfer, and ultimately, a step closer to achieving Level 4 autonomy as defined by TM Forum.

• Moving Towards Level 4 Autonomy: This transformation and increased autonomy through AI technologies are crucial for meeting future network demands and ensuring superior service quality.

• Future-ready Network Operations: By leveraging AI and LLM, Telefonica Germany is pioneering advanced, intelligent, and more autonomous network operations, aligning with its long-term goal of reaching Level 4 autonomy by 2030.