COPENHAGEN, Denmark – In a landmark achievement for the global telecommunications sector, Indosat Ooredoo Hutchison (IOH) and Huawei were honored with the prestigious “Excellence in AI & Data for Business Impact” award at DTW 2026. This accolade serves as global recognition of their pioneering work on "AUTINOps," an intelligent operations solution built upon a sophisticated AI-Native framework. As the industry grapples with the escalating complexity of hyper-connected networks, this partnership has not only addressed the unique operational challenges of the Indonesian archipelago but has also established a blueprint for the future of autonomous, AI-driven network management.
Main Facts: The Genesis of AUTINOps
The AUTINOps solution represents a paradigm shift from traditional, human-centric network management to an AI-Native operational model. By integrating advanced technological pillars—Digital Twin Network (DTN), Multi-agent collaboration, and the Domain-Specific Model (EDNS 2.0)—the platform effectively creates a "virtual nervous system" for IOH’s expansive network.
Operating across a challenging geographical landscape that spans more than 17,000 islands, IOH faced the daunting task of maintaining seamless connectivity. AUTINOps solves this by moving beyond simple automation to true "intelligence." The system leverages a comprehensive data governance framework known as “Identify-Analyze-Optimize-Retain,” ensuring that network data is not merely collected, but actively utilized to predict risks before they manifest into service outages.
The core of this innovation lies in its ability to handle multi-domain complexity. Whether it is wireless, microwave, IP transport, or energy infrastructure, AUTINOps provides a unified view, enabling real-time visibility and rapid, automated intervention.
Chronology: A Journey Toward Intelligent Operations
The collaboration between IOH and Huawei did not happen overnight; it was the result of a deliberate, multi-year strategic alignment focused on digital transformation.
- Initial Strategic Alignment (Early 2024): Recognizing that traditional operations were reaching their ceiling, IOH and Huawei initiated a joint innovation task force. The focus was to identify how generative AI and agentic frameworks could be integrated into existing infrastructure.
- The Pilot Phase (Late 2024): The companies deployed the initial iterations of the DTN and EDNS 2.0 models within specific network domains. The goal was to prove that data could be harmonized across disparate systems.
- Scaling and Integration (2025): Following successful trials, the rollout expanded to include all network domains. This period saw the integration of "digital employees"—AI agents capable of executing complex tasks that previously required manual intervention.
- Global Recognition (June 2026): At the TM Forum’s DTW 2026 in Copenhagen, the successful implementation of AUTINOps was formally recognized with the “Excellence in AI & Data for Business Impact” award, cementing the partnership’s position as an industry leader.
Supporting Data: Quantifiable Impact
The transition to AUTINOps has yielded measurable improvements that serve as a testament to the efficacy of AI-Native operations.
Performance Metrics
The shift from manual, siloed operations to an intelligent, integrated framework has delivered significant operational efficiencies:
- Fault Management: The system achieved an 80% one-hop closure rate for fault-handling, drastically reducing the burden on human engineers.
- Mean Time to Repair (MTTR): There has been a 15% reduction in MTTR, ensuring that network disruptions are resolved with unprecedented speed.
- Network Stability: Network availability improved from 99.3% to 99.7%, a critical metric for maintaining user trust in a competitive market.
- Traffic Management: Site traffic loss decreased by 15%, ensuring that bandwidth is utilized efficiently across the network.
- Scale of Operations: With annual agent calls exceeding 2 million, the system is performing at a scale that would be impossible for human teams alone to manage.
Workforce Transformation
Beyond technical metrics, the most profound impact may be on the human capital of IOH. The transformation streamlined a nine-step manual process into a two-step intelligent closed loop. This shift allowed for the upskilling of over 400 operations personnel and the creation of 65 specialized “digital employees.” This new paradigm empowers human staff to act as supervisors and enhancers, guiding AI Agents to execute tasks, thereby elevating the role of the telecom engineer from a manual operator to an intelligent orchestrator.
Official Responses and Strategic Vision
The award ceremony in Copenhagen served as a platform for leadership from both organizations to reaffirm their commitment to this digital trajectory.
“This recognition from the TM Forum is a validation of our long-term vision to leverage AI as a core component of our network architecture,” stated a representative from IOH. “Our geography presents unique challenges, but by utilizing AUTINOps, we have turned those challenges into a competitive advantage, ensuring that every island in Indonesia receives world-class connectivity.”
Huawei, speaking on the technological implications, emphasized that the collaboration is only the beginning. "The goal is to push toward ANL4 (Autonomous Network Level 4) capability," said a Huawei spokesperson. "We are moving into an era of ‘Agentic Operations,’ where AI is not just a tool for reporting, but an active participant in maintaining and optimizing network health. Through our work with IOH, we have proven that this is not a theoretical concept, but a value-driven reality."
Implications: The Future of Global Telecom
The impact of the IOH-Huawei partnership extends far beyond the borders of Indonesia. By contributing 15 new standards, protocols, and methodologies to the TM Forum, the partners are providing a reusable framework for other operators worldwide.
Setting a Global Benchmark
The "Excellence in AI & Data" award signifies that the industry is entering a new era. Operators across the globe are currently struggling with the same issues: rising energy costs, the increasing complexity of 5G and future 6G networks, and the need for greater efficiency in a saturated market. The AUTINOps model demonstrates that digital transformation is not just about adopting new software; it is about re-engineering the relationship between humans and machines.
The Rise of Agentic Operations
The concept of "digital employees" is perhaps the most disruptive element of this transformation. By automating the "chain-of-thought" processes required for network troubleshooting, IOH and Huawei have effectively created a blueprint for an autonomous organization. As these models continue to learn from the vast, real-time datasets of the network, they will become increasingly predictive, eventually moving the industry toward a state where network "self-healing" is the standard rather than the exception.
Strategic Standardization
The contribution to the TM Forum is critical. Without standardized methodologies, AI adoption in telecom would remain fragmented. By codifying their experience into industry standards, IOH and Huawei are ensuring that the lessons learned from the Indonesian archipelago can be applied in Europe, the Americas, and Africa, accelerating the global transition toward intelligent, data-driven telecommunications.
Conclusion
The win at DTW 2026 is more than just a trophy; it is a signal of a fundamental change in the telecommunications landscape. Through the successful implementation of the AUTINOps solution, Indosat Ooredoo Hutchison and Huawei have demonstrated that the future of telecom lies in the intelligent synthesis of human ingenuity and AI-driven automation. As they continue to push toward the frontiers of ANL4, the global industry will undoubtedly look to this partnership as the gold standard for how to successfully navigate the complex, data-heavy, and high-stakes environment of modern network operations.
