Building Self-healing Networks with AI

"Self-healing network" is one of the most overused phrases in telecom, and one of the least defined. Most vendors sell it as a destination that arrives once you've applied enough AI. This white paper treats it as a mechanism instead, and shows the architecture, the guardrails, and the proof required before anyone should trust it on a live network.

Inside, you'll find:

• The three levels of network autonomy, and why "does your platform do self-healing" is the wrong question to ask a vendor

• The four specific ways generic AI breaks on a live network, and the engineering decisions built around each one

• The six-step loop a fault actually has to pass through to close itself, including the two steps most vendors skip

• How autonomy gets proven fault class by fault class, with an evaluation framework built to survive a change board