Resources

As networks evolve to support AI-driven services, operators must move beyond static automation toward intelligent, self-adapting operations. Our white paper, From Automation to Autonomy: A Framework for Agentic AI-Driven Network Operations, explores how agentic AI—AI composed of autonomous agents—enables this transformation. The paper outlines how integrating agentic AI within a modern, cloud-native operations support system (OSS) enables complex workflows, continual learning, and safe collaboration with human experts. It defines a three-layer framework for deploying agentic AI that balances openness, governance, and extensibility while driving measurable operational results. By using agentic AI to unify network data, automate cross-domain workflows, and validate decisions in real time, operators can accelerate innovation, reduce operational risk, and build confidence in their path toward autonomous networking.