The 6 Foundations of the NAF Network Automation Framework

AIOps and autonomous network agents remain unreliable when applied broadly, often hallucinating or acting on poor data, echoing earlier failures in network automation initiatives that relied on disconnected tools and one-off scripts. The Network Automation Framework (NAF) proposes a tool-agnostic, evolving, flexible baseline for building dependable automation before introducing extensive AI capabilities, centered on six components: intent, which records the desired network state; an executor that applies changes; observability for analyzing the current network state; a collector for retrieving live device data; an orchestrator for coordinating workflows and remediation; and a presentation layer for making automation outputs accessible to users and systems. The framework emphasizes structured data, version control, validation, traceability, dry runs, and event-driven workflows, and can support a continuous deployment and compliance loop, such as distributing a subnet across branch sites, monitoring for drift, and automatically correcting failures. As networks and workloads grow beyond what teams can manage manually, the same foundations that enable reliable automation are presented as essential prerequisites for effective future AI-assisted operations.

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