Nokia has added an agentic AI framework to its Network Services Platform, the company’s management and automation platform for multi-vendor IP networks. The first use case on the framework is an AI-driven Troubleshooting Agent.
The pitch is straightforward: Nokia wants NSP to handle more of the work operators already do across multi-vendor, multi-domain environments. The Troubleshooting Agent is intended to help operators identify root causes faster, reduce operational noise, and resolve IP network issues.
How Nokia is packaging the agentic layer
Nokia is enhancing NSP with AI agents built on an agent framework that, in Sasa Nijemcevic’s words, respects how networks are actually operated. Nijemcevic, vice president and general manager of Nokia’s IP Network Automation software unit, said the industry is moving quickly toward AI-native operations, but trust remains the deciding factor.
That framing matters because Nokia is not presenting one isolated feature. The company says the new approach provides a flexible foundation for multiple AI use cases over time without creating siloed solutions.
What operators get first
The first advertised use case is troubleshooting, not a broad autonomous-network promise. Nokia says the tool is meant to speed root-cause identification, cut operational noise, and resolve IP network issues.
Nijemcevic said the change will have a major impact on how operators manage their networks, help them enhance operations, and accelerate the journey toward autonomous networks, starting with troubleshooting.
Read for network automation teams
The commercial signal is the timing: Nokia says the AI additions to NSP will be commercially available by the end of the year. For operators evaluating OSS and automation upgrades, the relevant detail is that Nokia is tying agentic AI to an existing platform rather than a standalone product.
That makes NSP a benchmark for vendors pushing AI into network operations without promising a wholesale architecture rewrite.