Nokia Integrates Autonomous AI Framework into its NSP Platform for Operators
On Thursday, Nokia announced the introduction of an autonomous AI framework into its Network Services Platform (NSP). This development allows network operators to deploy AI agents with data-driven reasoning and to take guided actions within their security policies and limits.
An AI Framework Grounded in Network Reality
The autonomous AI framework designed by Nokia grounds AI agents in an accurate and up-to-date view of the network, including topology, protocol behavior, configuration status, service relationships, and recent network changes. This approach enables agents to reason based on the reality of the network rather than on inferred or fragmented data, and operate within the operator-defined intentions, policies, and access controls. The framework also allows communication between external agents via AI-based protocols, such as the Model-context protocol (MCP), across operators' multi-vendor and multi-domain networks. This capability supports their progression towards fully autonomous networks.
An AI Troubleshooting Agent as the First Use Case
The first use case built on this new framework is an AI-driven troubleshooting agent, designed to help operators more quickly identify the root causes of failures, reduce operational noise, and resolve complex issues in IP networks with greater confidence. For network operators, this framework provides a flexible foundation for gradually introducing multiple AI use cases without creating siloed solutions. Operators can start with targeted, high-confidence scenarios and gradually expand the role of AI as confidence is established, relying on a shared framework that enforces consistent governance and operational controls.
Commercial Availability by the End of 2026
This enhancement to NSP will be commercially available by the end of 2026. Nokia emphasizes that this approach is a pragmatic and progressive step towards AI-native network operations, prioritizing the resolution of concrete operational problems with significant impact from the initial deployments.
