Autonomous Network Solution

Inspur’s Autonomous Network Solution, enables Self-X O&M and a Zero-X experience, charting a clear path for operators toward L4+ autonomy, with four-stage, risk-managed deployment model accelerates time-to-value. Already proven across leading domestic and global operators, it drives cost reduction, operational efficiency, computing power monetization, and business model innovation.

The global telecom industry is transforming toward network intelligence and autonomy. TM Forum’s Autonomous Network (AN) framework is the industry standard, with 84 leading CSPs and partners signing the AN Manifesto, and over 30 operators pursuing L4 autonomy via ANL evaluations. Driven by 5G, cloud-network convergence, enterprise leased lines and home broadband, operator networks are multi-domain, multi-vendor and multi-technology. Traditional manual O&M and siloed systems lead to high costs, slow fault location, long service cycles and poor customer experience, making intelligent autonomy inevitable. Following the L0–L5 ANL path, the industry focuses on Self-X O&M and Zero-X experience. With AI, digital twin and big data enabling end-to-end automation, CSPs aim to cut costs, boost efficiency and unlock new value. Inspur thus launches its TMF-aligned Autonomous Network Solution to support L4+ evolution.

The AN implementation methodology summarized by TM Forum, with the four core elements of vision & target architecture, AN level assessment, effectiveness measurement system, and intelligent operations practices, provides standardized guidance for the systematic transformation of autonomous networks for global operators. The full-process design and implementation roadmap of Inspur’s Autonomous Network Solution are strictly aligned with this industry specification.

Inspur has defined a clear, metrics-driven roadmap aligned with TM Forum standards and China Mobile’s best practices. This four-stage strategy, built on a unified platform and prioritized by high-value use cases, guides operators from ANL assessment and system capability improvement, through high-value scenario implementation, to full-scale AI ecosystem integration. Phased AI enhancement drives closed-loop automation, enabling operators to evolve progressively toward ANL L4+ high-level autonomy with measurable outcomes at each stage.

Inspur’s autonomous network has evolved in three phases. It first aligned with TMF standards to complete top-level design and technical pre-research. It then realized full-stack OSS productization and deployed the cloud-native foundation, upgrading ANL from L2 to L3+ through benchmark projects. Currently, it focuses on 38 high-value scenarios, upgrades AI-native capabilities to achieve L4 breakthroughs in core scenarios, and advances toward L4+ high-level autonomy while improving the AI ecosystem.

Inspur’s Autonomous Network Solution leverages the IBS framework to drive telecom digital transformation, delivering unified resource management, intelligent assurance, automated provisioning and AI-driven orchestration. Built on cloud-native, big data, AI/GenAI and DevOps capabilities, it forms a full-stack OSS architecture with layered closed-loop automation spanning Network→Service→Customer→User. This progressive structure enables operators to advance from basic network automation to business-level closed loops, supporting Self-X O&M and facilitating smooth evolution from ANL L2 to L4+ autonomy.

Inspur’s Autonomous Network (AN) solution delivers differentiated AI capabilities anchored in three core pillars: Business Agility, Scenario Empowerment, and Technology Base, built on a full-stack AI-native base that integrates LLM and unified computing power scheduling to support model training, agent development, and digital & intelligent governance. It provides an enterprise-grade AI assistant APP that connects the full link for ultra-fast demand response, deploys a 3-scenario agent matrix covering Network Intelligent O&M, Market Rapid Support, and Lean Management Empowerment with multi-role agents for full-process business intelligence collaboration, and forms a closed-loop AI product support system to enable end-to-end intelligent transformation for telecom operators.

Based on TMF IG1256 guidelines, Inspur recommends the construction of high-value autonomous network application scenarios, transforming automation and intelligent technical capabilities into tangible, perceptible and verifiable business value highlights, and realizing full-link business upgrading with significant reduction in O&M costs, remarkable improvement in team efficiency, continuous expansion of revenue channels and comprehensive enhancement of network resilience.

Rich AN Use Cases 

Inspur, a long-standing player in telecom operator OSS, delivers end-to-end L2-to-L4 autonomous network solutions with AI empowerment and TMF-aligned, scalable practices, proven by 10+ domestic group-level AI benchmarks, 20+ computing power monetization products, and successful global deployments with TM Malaysia and South African broadband operators, driving intelligent transformation for telecom networks worldwide.