Partner Article
Huawei unveils AI-native framework and new generation solutions to enable all intelligence
The communications industry is entering a new phase of transformation, as operators move beyond basic automation towards building intelligent networks. Rising network complexity, surging data traffic and the rapid adoption of Artificial Intelligence (AI) across enterprises and consumer use cases are exposing the limitations of traditional operations models, which remain largely reactive and fragmented.
At the recently concluded MWC Barcelona 2026, Huawei outlined its vision for this shift, unveiling what it describes as the industry’s first AI-native framework for intelligent operations, alongside a new suite of solutions designed to accelerate the transition. The announcement is in line with a broader industry trend, where telecom operators are increasingly looking to leverage AI across the entire network lifecycle, from Operations and Maintenance (O&M) to customer engagement and monetisation.
According to Capgemini, telcos have, on average, achieved a 20% improvement in operational efficiency and 18% reduction in operational expense through autonomous networks over a period of two years. While telcos are increasingly using AI to automate networks, the rise of AI-powered tools and applications is placing new demands on network performance and reliability.
President of Huawei’s Global Technical Service, Bruce Xun, announced the launch of three solutions, Agentic BSS, SmartCare Intelligence and AUTINOps, which he believes will “ensure a seamless evolution while establishing new paradigms, creating new value, and achieving a massive leap in intelligence.” He was speaking in a session on Agentic Services and Software Enable All Intelligence.
These solutions are based on an AI-native framework, which is “designed to accelerate the transition of AI innovations into real production, creating tangible new value,” said Xun.
This framework is built on three core pillars. To begin with, it targets operational and business challenges that legacy solutions have failed to resolve. Secondly, it leverages digital twins and telecom-domain models to enable optimal solutions. Thirdly, the framework reinvents workflows and talent development to ensure a seamless collaboration between human experts and digital employees.
A key challenge for service providers today is that traditional operations models remain largely reactive. The tariff design and launch process is slow, and may not meet customer needs or effectively recommend the right products at the right time.
In this context, Agentic BSS focuses on transforming business operations by introducing AI agents that can interpret customer intent, design new offerings and optimise customer engagement. By enabling collaboration between multiple agents, service providers can significantly reduce time-to-market and deliver more personalised services.
“The key to intelligent operations lies in our ability to anticipate customer intent and identify unmet needs,” said Xun. This shift towards intent-driven operations is particularly relevant as operators expand into enterprise services and digital ecosystems, where responsiveness and customisation are critical.
Huawei received a Silver award in the Total Experience category for its collaboration with a Chinese operator, where AI-driven account management agents were introduced. These digital assistants improved response times, reduced business processing time by 30%, and enhanced enterprise customer engagement.
Reimagining network optimization
While business transformation is one aspect, network operations remain central to the AI-native vision. SmartCare Intelligence, another solution introduced by Huawei, is designed to move network optimisation from a reactive to a predictive model. By leveraging large AI models, including User Experience Large Model (UELM) and Beam Space Large Model (BSLM), the system can analyse network data in real time, simulate potential scenarios and generate optimal adjustments. This approach ensures that the networks are always tuned to deliver optimal performance. This is significant because service providers are struggling with growing network complexity. AI-driven systems can help them provide consistent service quality.
Towards predictive and preventive operations
The third pillar of Huawei’s portfolio, AUTINOps, focuses on Operations and Maintenance (O&M), introducing a predictive approach to network reliability.
Traditional O&M models often respond to faults after they occur, leading to service disruptions and longer recovery times. AUTINOps addresses this by identifying potential risks in advance and taking preventive action. It uses a cross-domain digital twin network and EDNS 2.0 model to monitor networks in real time, detect risks and trigger recovery actions. It combines proactive risk mitigation (T-1) with quick fault recovery (T0) to ensure “dual protection,” leading to high uptime and network reliability.
Huawei’s approach is beginning to see validation in real-world deployments. At the World Communication Awards (WCA), the company received a Silver award for Best Digital Transformation Programme for its work with a Middle Eastern operator, where it implemented an AI-driven O&M system focusing on fault management and resource topology optimization. Based on the AUTIN platform, the solution enabled over 95% topology visibility across VoWiFi access points, LTE anchor points and IMS core network elements. It delivered measurable improvements, including service availability exceeding 99.5%, a 40% reduction in call drop rates, and significant gains in fault detection and repair times.
Xun emphasized the importance of robust connectivity, without which AI remains an information silo. He urged the industry leaders to standardize definitions and specifications of AI native elements, jointly design new business and transaction models and to share best practices to simplify network operations while ensuring improved performance.
