{"id":8950,"date":"2026-03-25T12:00:00","date_gmt":"2026-03-25T12:00:00","guid":{"rendered":"https:\/\/www.telecomstalk.com\/?p=8950"},"modified":"2026-03-25T12:00:00","modified_gmt":"2026-03-25T12:00:00","slug":"from-cloud-native-to-autonomous-networks-ngmn-outlines-ai-driven-operating-model-framework","status":"publish","type":"post","link":"https:\/\/www.telecomstalk.com\/?p=8950","title":{"rendered":"From cloud-native to autonomous networks: NGMN outlines AI-driven operating model framework"},"content":{"rendered":"

New operator-driven guidance outlines how mobile network operators can adopt AI-based operating models to enable increasingly autonomous network operations<\/em><\/p>\n

The Next Generation Mobile Networks Alliance (NGMN) today published new guidance outlining how mobile network operators (MNOs) can evolve their cloud-native network operations towards Agentic AI-based and increasingly autonomous operating models. The publication \u201cCloud Native Next Chapter \u2013 Agentic AI-based Operating Models\u201d<\/a> provides a framework for Mobile Network Operators to support the adoption of Agentic AI in telecom network operating models, helping operators navigate the transformation across technology, processes, skills, and organisational culture.<\/p>\n

Building on NGMN\u2019s Cloud Native Manifesto and established cloud-native frameworks such as the Cloud Native Computing Foundation\u2019s (CNCF\u2019s) Cloud Native Maturity Model (CNMM), the publication introduces a structured approach to integrate Agentic AI-based capabilities into telecom operations. It defines five progressive AI adoption levels and maps them to the CNCF Cloud Native Maturity Model (CNMM) stages, enabling operators to assess their readiness and required next steps to gradually evolve towards more intelligent and autonomous network operations. For each AI adoption level, the document also provides guidance on what is required across technology, people, skills and organisational culture. It further emphasises the importance of defining clear transformation targets and measuring business outcomes as operators progress along this journey.<\/p>\n

Through this publication, NGMN shares guiding principles, architectural guidelines and strategic insights to help operators\u2019 transformation and to navigate different levels of autonomy and AI adoption in cloud-native network environments.<\/p>\n

“Agentic AI has the potential to fundamentally change how telecom networks are operated, but only if telecom operators build on the right foundations. AI adoption doesn’t happen in isolation; it depends on cloud-native maturity and a clear path to integrate autonomy without sacrificing reliability or control. That’s exactly what NGMN’s framework delivers: practical guidance to help operators embrace AI-driven operations with confidence,” said Laurent Leboucher, Chairman of the NGMN Alliance Board and Orange Group CTO and EVP Networks.<\/p>\n

The publication highlights how cloud-native maturity forms the foundation for AI-driven operations. While early stages focus on controlled experimentation and AI-assisted workflows, more advanced stages enable increasingly autonomous network management through closed-loop automation and intelligent orchestration. By aligning cloud-native maturity with AI readiness, operators can adopt AI technologies in a phased and responsible manner while balancing innovation with operational stability.<\/p>\n

\u201cCloud-native adoption provides the essential foundation for integrating advanced AI into telecom operations,\u201d said Bernard Bureau, NGMN Board Member and VP Wireless Technology & Services at TELUS. \u201cBy mapping cloud-native maturity levels to AI adoption stages, NGMN offers operators a practical framework to gradually introduce AI-enabled automation \u2014 from early experimentation to increasingly autonomous network operations.\u201d<\/p>\n

The publication also emphasises that the transition towards AI-driven operating models is not solely a technological shift. Successful adoption requires organisational transformation across people, processes and culture, including new skillsets, responsible AI governance and redesigned operational workflows. AI-enabled tools can support tasks such as network troubleshooting, capacity planning, and predictive operations, enabling more efficient and resilient network management.<\/p>\n

\u201cAs Agentic AI-based technologies evolve rapidly, NGMN provides operators practical guidance on how to lever them on the transition to Agentic AI-based network operations, in a responsible and scalable way,\u201d said Anita D\u00f6hler, CEO of the NGMN Alliance. \u201cBy outlining 5 specific stages, this publication provides a roadmap for mobile network operators to evolve their cloud-native platforms towards Agentic AI-enabled operating models, whilst setting clear objectives and measuring business outcomes.\u201d<\/p>\n

The full publication \u201cCloud Native Next Chapter \u2013 Agentic AI-based Operating Models\u201d is available for download here<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

New operator-driven guidance outlines how mobile network operators can adopt AI-based operating models to enable increasingly autonomous network operations The Next Generation Mobile Networks Alliance (NGMN) today published new guidance outlining how mobile network operators (MNOs) can evolve their cloud-native network operations towards Agentic AI-based and increasingly autonomous operating models. The publication \u201cCloud Native Next […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-8950","post","type-post","status-publish","format-standard","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/www.telecomstalk.com\/index.php?rest_route=\/wp\/v2\/posts\/8950","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.telecomstalk.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.telecomstalk.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.telecomstalk.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.telecomstalk.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=8950"}],"version-history":[{"count":0,"href":"https:\/\/www.telecomstalk.com\/index.php?rest_route=\/wp\/v2\/posts\/8950\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.telecomstalk.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8950"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.telecomstalk.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8950"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.telecomstalk.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8950"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}