Designed for the era of cognitive broadband, Nokia's AI-powered fixed network portfolio enhances the end-user experience, increases operational efficiency, and accelerates fiber deployment.
The telecoms industry plans to invest $6.2 billion in agentive AI by 2030. Agentive AI systems capable of autonomous reasoning and decision-making will be a key driver of the cognitive broadband era, enabling networks to move beyond basic connectivity to self-optimized, AI-driven infrastructures.
Nokia integrates AI agents and natural language interaction into its Altiplano, Corteca, and Broadband Easy platforms, allowing telecom providers to modernize their operations and reduce costs. Operators can proactively resolve issues, scale operations without increasing staff, and diagnose network incidents through automated root cause analysis. AI agents will make an immediate and tangible difference for operators, including increasing first-contact resolution rates by over 50%, triaging network incidents in under 5 minutes, and reducing return visits to construction sites and connected homes by 50%.
This is all underpinned by an open and secure approach that integrates AI agents, real-time data, and external services, while ensuring regulatory compliance, data sovereignty, and vendor independence. Operators maintain full control and can work with the large language model (LLM) that best suits each specific use case, utilize their own interfaces, or connect data sources as they scale AI across their enterprise.
Nokia's new AI capabilities span the entire broadband network lifecycle. They boost productivity across customer service, engineering, network operations, and field teams, while enhancing the end-user experience:
An AI assistant with a conversational interface gives technicians and support teams instant access to product knowledge, accelerating training and daily troubleshooting.
AI-powered text, voice, and image guidance assists field technicians during inspections and installations, and machine vision technology helps validate the quality of work performed and create a real-time digital twin of the FTTH network.
Automated diagnostics detect degradations and prevent service outages, providing frontline support teams with greater operational accuracy and analytical depth.
A troubleshooting agent improves root cause analysis and speeds up remediation on home and access networks, using advanced reasoning to locate faults faster, reduce ticket volume, and increase first-call resolution rates.
“AI makes your end users less likely to unsubscribe, your engineering and support teams more productive, and your field teams able to connect more homes faster. Nokia’s Agentic AI puts over 600 million lines of broadband expertise at the fingertips of every field technician, support agent, and network engineer, resolving issues before the customer even notices them. “We are radically changing how home and broadband networks are deployed and managed,” said Sandy Motley, president of Nokia Fixed Networks.
“AI only works with quality data and when the data is AI-ready. Our recent market insight on AI in network automation underscored that the industry is rapidly moving toward building an infrastructure capable of enabling powerful and successful AI. Vendors like Nokia, which combine deep industry expertise with real-world scale, are best positioned to deliver reliable results.” "Nokia's approach reflects many of the right architectural principles, including autonomous control loops, structured data models, and open APIs, which are critical to facilitating automation and ensuring the accuracy of AI responses," said Grant Lenahan, partner and principal analyst at Appledore Research.
