GARTNER®

GET THE GARTNER® REPORT: The 4 Phases of OSS Transformation for Autonomous Network Operations in CSPs

By Amresh Nandan, Will Rice

Gartner's research lays out a clear roadmap for CSPs pursuing autonomous network operations from cleaning up legacy OSS systems to achieving self-healing, self-optimizing networks. The journey is complex, but the sequence matters: each phase builds on the one before it, and shortcuts on the foundation guarantee failures at scale.

Where Most CSPs Get Stuck

The biggest bottleneck to autonomous operations isn't AI. It's what comes before it. Years of organic OSS growth have left most CSPs with fragmented tools, siloed data, and inconsistent interfaces. Before any AI model can deliver real value, the underlying data must be consolidated, contextualized, and trustworthy. Gartner's first two phases rationalization and building the automation foundation are where transformation succeeds or stalls.

The Greyskies Advantage
STEP 1
Rationalize & Consolidate, Fast.

Our platform's ability to collect from everywhere - network elements, management systems, and existing third-party tools - means you don't need to rip and replace to move forward. GreySkies accelerates OSS rationalization by becoming the single, unified collection and assurance layer across your entire environment.

STEP 2
Build on a Foundation You Can Trust

Autonomous operations are only as good as the data driving them. GreySkies is purpose-built for this challenge: automated topology discovery, continuous data quality assurance, and deep enrichment, standardization, and contextual tagging ensure that every data point feeding your AI and automation systems is accurate, complete, and meaningful.

STEP 2
From Insight to Action to Autonomy

With the right foundation in place, GreySkies enables the outcomes Gartner describes: AI-driven incident detection and management, advanced predictive analytics, and closed-loop automation — the building blocks of truly self-configuring, self-correcting, and self-healing networks.

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