Customer case

Deployment of an AI Agent for Private 5G Network Management

Tue 17 Mar 2026

AI agent for automated private 5G network management on Google Cloud

In a context where digital transformation is accelerating, automation and AI are becoming essential levers to simplify the management of complex infrastructures. This project aims to deploy an AI agent hosted on Google Cloud, capable of automatically generating configuration files for the creation of private 5G networks, while ensuring seamless integration with the internal information system. The objective is to enable autonomous management, reduce deployment times, optimize traceability, and ensure compliance with client requirements.

Client Needs: Automating and Securing 5G Network Management

This project addresses a specific need: to automate the creation and management of private 5G networks through an integrated AI solution, in order to accelerate deployment while enhancing reliability. It involves:

Automating the generation of RFS deliverables from an input JSON file: the client wants the AI agent to quickly and accurately transform structured data into YAML files compliant with technical specifications for 5G network creation.

Ensuring a complete testing process, from order to production: each step must be validated to guarantee deployment quality and compliance.

Integrating an automated push system to an internal GitLab repository: this step simplifies configuration management and automates the creation of private infrastructures on the TELCO CLOUD platform.

Optimizing existing code through API usage: to improve performance, reliability, and security of exchanges between the AI agent and internal systems.

Ensuring full traceability of operations: by recording all agent actions in a database to facilitate monitoring and auditing.

This project is part of a continuous innovation approach aimed at reducing deployment times while increasing accuracy and operational security.

Sofrecom Methodology: An Agile and Secure Approach

To support this complex project, Sofrecom deployed a structured methodology focused on technical control and deliverable quality:

The first step consists of a thorough analysis of the existing environment to understand current processes, identify weaknesses, and define improvement areas. Then, the search for secure technical solutions enables smooth communication between the internal information system and Google Cloud while ensuring data flow security. The design of a scalable and robust architecture, integrating Google Cloud, GitLab, and a MySQL database, ensures system performance and reliability.

Code development, particularly through APIs, aims to automate YAML file pushes while strengthening security. The implementation of logging and traceability mechanisms allows each step to be tracked, anomalies to be quickly identified, and regulatory compliance to be ensured.

End-to-end testing validates the entire process, from client request to production deployment. Finally, team training and continuous support ensure long-term tool mastery, enabling agile evolution based on feedback.

Benefits: Concrete Results Ensuring Secure 5G Networks

Sofrecom’s support has delivered concrete and sustainable results, strengthening the competitiveness and security of private 5G networks.

This partnership has transformed private 5G network management by combining innovation, security, and performance. Deployment speed is significantly improved through automation, reducing errors and ensuring strict compliance with technical specifications. Secured exchanges limit risks related to cyberattacks and data leaks. Systematic traceability facilitates auditing, regulatory compliance, and rapid incident resolution.

The designed solution is flexible and scalable, allowing the integration of new features or use cases in the future. Sofrecom’s technical expertise ensures deep mastery of cloud, DevOps, and AI technologies, guaranteeing platform sustainability and performance. Upskilling internal teams now enables long-term autonomy, while the agile approach allows rapid integration of feedback for continuous improvement.