en.Wedoany.com Reported - Nokia has introduced new artificial intelligence agent capabilities into its fixed broadband portfolio, embedding autonomous AI agents into the Altiplano, Corteca, and Broadband Easy platforms to automate workflows for network operations, customer support, and fiber deployment. The company stated that these new capabilities target the growing "cognitive broadband" market, helping operators move towards self-optimizing access networks.
Nokia indicated that the platform leverages operational data and expertise from over 600 million deployed broadband lines. The company positions this launch around tangible operational outcomes, including higher first-contact resolution rates for support teams, faster fault confirmation, reduced field service rework, and accelerated fiber deployment processes. Nokia estimates that operators can complete network fault confirmation within five minutes, boost first-contact resolution rates to over 50%, and reduce rework at construction sites and connected homes by 50%.
The new AI framework features an open architecture, allowing operators to maintain control over data sovereignty, model selection, and external integrations. Operators can integrate their preferred large language models, connect external data sources, and deploy AI workflows across broadband operations while maintaining vendor independence. The platform also introduces conversational AI assistants for field technicians and support staff, AI-driven installation guidance based on text, voice, and image recognition, automated diagnostics, and troubleshooting agents capable of advanced root cause analysis for access and home networks.
Nokia embeds AI agents into the Altiplano, Corteca, and Broadband Easy platforms, targeting workflows for customer care, network engineering, operations, and field services. AI assistants provide conversational access to operational and product knowledge, while computer vision verifies FTTH installation quality and supports digital twin creation. Automated diagnostics identify performance degradation before faults occur, and troubleshooting agents automatically perform root cause analysis on home and access networks. Nokia states operators can reduce field rework by 50%, with fault confirmation achievable within five minutes. Operators have the flexibility to choose their own large language models and external data integrations. Nokia cites operational expertise drawn from over 600 million deployed broadband lines.
"AI makes your end users less likely to churn, makes your engineering and support teams more efficient, and enables your field teams to connect more homes faster," said Sandy Motley, President of Fixed Networks at Nokia. "Nokia's Agentic AI puts the experience from over 600 million broadband lines at the fingertips of every field technician, customer service agent, and network engineer, solving problems before the customer is even aware of them."
Analysts point out that Nokia's announcement reflects an accelerating shift towards AI-native network operations, as operators seek ways to reduce operational costs while managing increasingly complex fiber and Wi-Fi environments. Unlike earlier automation platforms that primarily focused on analytics dashboards and scripted workflows, agentic AI systems introduce autonomous reasoning loops capable of taking action and coordinating across operational domains. Nokia's emphasis on open APIs, model flexibility, and data sovereignty also aligns with growing operator concerns about dependency on closed AI ecosystems.
This article is compiled by Wedoany. All AI citations must indicate the source as "Wedoany". If there is any infringement or other issues, please notify us promptly, and we will modify or delete it accordingly. Email: news@wedoany.com
