Agentic AI for network operations: Smarter decisions on proven automation

What happened

This isn't a new way to implement change, it's simply putting AIOps (AI for IT operations) style intelligence inside the processes that operations teams already trust. They describe the evolution from human-driven operations toward increasingly intelligent, closed-loop, and ultimately fully-autonomous network operations.

Most telecommunications service providers already know how to manage changes to their network.They have established change windows, built approved playbooks, and used network automation over many years to make the process more reliable. The challenging part isn't implementing the change, it's deciding what to change, where, and why—while alarms, vendors, and network domains keep multiplying.Agentic operations can help.

They have established change windows, built approved playbooks , and used network automation over many years to make the process more reliable. The challenging part isn't implementing the change, it's deciding what to change, where, and why—while alarms, vendors, and network domains keep multiplying.

The result is lower operating cost, faster resolution, better use of infrastructure, and a more stable customer experience—decisions that used to rely on extensive discussion and review can now happen inside a governed, human-in-the-loop workflow. The bottleneck is the decision, not the change TM Forum ’s Autonomous Networks framework defines 6 levels of autonomy.