They reduced service design from weeks to minutes by embedding AI-driven automation in operational workflows \u2013 more use cases will follow for dynamic, intent\u2011based services<\/p>\n
Telef\u00f3nica Deutschland\u00a0and\u00a0Blue Planet, a division of\u00a0Ciena, completed a joint proof of concept (PoC) exploring the use of AI agents to accelerate the design and fulfilment of 5G network slicing services. <\/p>\n
As part of Telef\u00f3nica Deutschland\u2019s ongoing transformation of its OSS and its strategy of higher levels of network autonomy, the company is focused on industrialising service and network deployment through its\u00a0Service & Network Factory. <\/p>\n
A key enabler of this transformation is Telef\u00f3nica Deutschland\u2019s\u00a0Multi\u2011Domain Service Orchestration (MDSO)\u00a0programme, which provides end\u2011to\u2011end orchestration across network domains and underpins the introduction of new, complex services, including 5G network slicing.<\/p>\n
This is a high\u2011value B2B service, characterised by complex specifications, evolving standards and strong dependence on expert knowledge. Designing and deploying slicing services efficiently gets servcies to market faster while maintaining quality and consistency across domains.<\/p>\n
Intent-based design<\/p>\n
To address these challenges, Telef\u00f3nica Deutschland collaborated with Blue Planet to test how AI agents could support engineers throughout the service lifecycle \u2013 from intent\u2011based design to catalogue creation and fulfilment. <\/p>\n
The PoC leveraged\u00a0Blue Planet AI Studio<\/a>, an OSS\u2011native platform for building and running AI agents, integrated directly with Telef\u00f3nica Deutschland\u2019s\u00a0MDSO environment<\/a>. AI\u2011driven automation was embedded in real operational workflows rather than running as a standalone experiment.<\/p>\n The results <\/p>\n Tasks that previously required specialised expertise and manual effort \u2013 such as defining slice specifications and generating standards\u2011compliant service payloads \u2013 were completed in minutes instead of weeks. By abstracting complex standards and parameters into AI agents and reusing catalogue elements managed through MDSO, the solution improved design speed, consistency, and quality, while reducing errors through guided, repeatable processes.<\/p>\n Eva Ulicevic (pictured), Director of Architecture, Strategy and Technology Enablement at Telef\u00f3nica Deutschland, commented, \u201cThis proof of concept has shown that AI agents, when integrated with our MDSO framework, can meaningfully simplify service design, reduce lead times, and help democratize expert knowledge. It is an important validation of how intent\u2011based, AI\u2011driven approaches can support our evolution toward more autonomous operations, allowing us to provide\u00a0additional and enhanced customer services.\u201d<\/p>\n For his part, Joe Cumello, Senior Vice President and General Manager, Blue Planet said, \u201cBy building AI agents directly into their orchestration workflows using\u00a0Blue Planet AI Studio, this PoC demonstrates how service providers can accelerate innovation while maintaining control, standards compliance, and operational rigor.\u201d<\/p>\n Beyond the PoC<\/p>\n Beyond the immediate outcomes, the PoC provides valuable insight into how AI\u2011driven automation can complement multi\u2011domain orchestration to support the future evolution of network and service operations. By validating the role of AI agents within the MDSO framework, Telef\u00f3nica Deutschland and Blue Planet have established a foundation for scaling this approach to additional use cases and enabling more dynamic, intent\u2011based services.<\/p>\n Javier Garc\u00eda, Head of Core IT at Telef\u00f3nica Global CTIO, added, \u201cThis proof of concept supports Telef\u00f3nica\u2019s ambition to advance towards higher levels of network autonomy, reinforcing the role of AI in transforming service and network operations. Moving beyond traditional automation requires evolving operational systems into AI-native platforms that can progressively increase autonomy.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"They reduced service design from weeks to minutes by embedding AI-driven automation in operational workflows \u2013 more use…\n","protected":false},"author":2,"featured_media":45244,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[124],"tags":[20453,20353,20454,10385,20455,155,20385],"class_list":["post-45243","post","type-post","status-publish","format-standard","has-post-thumbnail","category-telefonica","tag-agentic-ai","tag-blue-planet","tag-intent-based-operations","tag-network-automation","tag-oss","tag-telefonica","tag-telefonica-deutschland"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/posts\/45243","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/comments?post=45243"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/posts\/45243\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/media\/45244"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/media?parent=45243"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/categories?post=45243"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/tags?post=45243"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}