Telstra and Ericsson Trial AI-Powered EACC rApp, Advancing Autonomous Network Innovation

In a global first, Telstra and Ericsson trialed the AI-powered EACC rApp on Telstra’s live network via the Ericsson Intelligent Automation Platform (EIAP). This AI-driven solution enhances network automation by ensuring configuration consistency in real time, helping Telstra advance toward fully autonomous networks. With AI capabilities for self-optimization and self-correction, the EACC rApp improves network efficiency and reliability, offering valuable insights into the potential of AI in telecom to elevate performance and customer experience.
Telstra and Ericsson Trial AI-Powered EACC rApp, Advancing Autonomous Network Innovation
Image Credit: Ericsson and Telstra
Telstra and Ericsson Pioneer Live Network Trial of Automated Configuration Consistency (EACC) rApp, Paving the Way for Autonomous Networks

In a pioneering achievement, Telstra and Ericsson have completed a groundbreaking trial of Ericsson’s Automated Configuration Consistency (EACC) rApp on a live commercial network. This successful test, conducted on Telstra’s network via Ericsson’s Intelligent Automation Platform (EIAP), underscores both companies’ commitments to advancing autonomous network technologies and improving network efficiency and reliability.

Transforming Network Management with AI-Powered Ericsson EIAP


The trial marks a significant step forward in network automation. Ericsson’s Intelligent Automation Platform (EIAP) acts as a Service Management and Orchestration (SMO) solution, designed to centralize and automate network management functions across RAN, core, and edge. By utilizing the EIAP, Telstra is exploring innovative ways to simplify network complexity, improve consistency, and streamline its operations.

Through advanced orchestration and machine learning capabilities, EIAP enables Telstra to manage configuration settings across its network efficiently. This platform allows Communication Service Providers (CSPs) like Telstra to oversee their networks in real time, monitor configurations for inconsistencies, and automate adjustments to maintain optimal performance. As a result, Telstra can deliver faster, more reliable network services that align with today’s demand for high-speed connectivity and low latency.

AI-Powered EACC rApp: Ensuring Network Configuration Reliability

The EACC rApp deployed in this trial is a specialized automation application that identifies and addresses configuration consistency issues within the Radio Access Network (RAN). The rApp’s capabilities extend to detecting and correcting errors in real time, with rollback features that allow Telstra to restore previous configurations if Key Performance Indicators (KPIs) are affected. This functionality is crucial for ensuring that network issues are resolved quickly without compromising service quality.

The EACC rApp trial is a first-of-its-kind deployment in a live network environment, which showcases the importance of real-time network configuration management in enhancing performance, stability, and resilience. For Telstra, this technology promises a path to reducing operational complexity, improving resource allocation, and strengthening its ability to deliver high-quality services.

Meeting High-Speed Demands through AI-Driven Network Automation

Today’s digital consumers increasingly expect reliable, high-speed connectivity to support data-intensive applications, from streaming and gaming to virtual meetings. However, maintaining such performance standards requires CSPs to address network configuration challenges proactively. This is where Ericsson’s EIAP and EACC rApp play pivotal roles. By enabling intelligent automation, these technologies help Telstra consistently meet customer expectations for speed, reliability, and minimal latency.

The trial demonstrates how advanced automation combined with AI-driven optimizations can elevate user experiences by providing seamless connectivity. With platforms like EIAP, Telstra can offer a more consistent quality of service, allowing customers to enjoy data-rich experiences without interruptions – a significant competitive advantage in a data-driven world.

Creating an Open AI-Powered rApp Ecosystem with Ericsson’s EIAP

Ericsson’s EIAP is more than just a tool for CSPs; it’s also a hub for collaborative innovation. The platform supports a growing open ecosystem, enabling developers to create and deploy rApps – modular automation applications designed to automate specific network functions. With resources such as the Software Development Kit (SDK) and Developer Portal, CSPs can access tools that support rapid rApp development, testing, and deployment.

Telstra’s participation in this open ecosystem is a testament to its commitment to adopting the latest innovations in network automation. By developing and implementing custom rApps, Telstra can continually evolve its network management strategies, delivering enhanced services while reducing operational overheads. This collaborative approach to innovation also facilitates advancements across network domains, including deployment, optimization, and self-healing functionalities powered by AI.

AI-Driven Path to Self-Optimizing Autonomous Networks at Telstra

Telstra’s trial of the EACC rApp aligns with its broader vision of developing autonomous networks. The ultimate goal is to establish a network that can self-optimize, self-heal, and self-assure with minimal human intervention. Achieving this level of automation enables Telstra to streamline network operations, improve utilization of resources, and focus more on enhancing customer experience.

The intent-driven model that Telstra aspires to achieve will leverage advanced AI and machine learning technologies to automate routine tasks, allowing network operators to monitor performance proactively and adapt to changing demands seamlessly. This approach holds promise not only for reducing operational costs but also for ensuring that Telstra’s network can respond quickly to usage spikes, outages, or performance drops, all while maintaining consistent service quality.

AI Innovations in Network Automation: Telstra and Ericsson Lead the Way

The trial’s success highlights both Telstra’s and Ericsson’s leadership in exploring cutting-edge network automation solutions. Sri Amirthalingam, Telstra’s Network Engineering Executive, emphasized the company’s dedication to customer-centric innovations, stating, “Our collaboration with Ericsson underscores our goal of enhancing customer experiences and ensuring the quality of our network services. Automating configuration management with rApps enables us to deliver consistent network performance, a key milestone on our journey toward autonomous networks.”

Emilio Romeo, Head of Ericsson Australia and New Zealand, expressed a similar sentiment, noting that “the integration of AI and machine learning in EIAP empowers CSPs to achieve superior network automation and efficiency, advancing the future of autonomous networks.” Romeo added that the trial “reinforces our commitment to providing reliable, seamless connectivity for users, ultimately helping CSPs like Telstra meet the demands of modern digital experiences.”

A New Era of Autonomous Networks and Open Innovation

The successful trial of the EACC rApp on Telstra’s live network serves as a foundational achievement for the future of autonomous networks. As more CSPs explore automation and AI-driven solutions, innovations like EIAP and the EACC rApp illustrate how technology can enhance network performance, consistency, and resilience.

Telstra’s efforts, alongside Ericsson’s, signal a move toward fully automated network management, providing valuable insights and solutions that can be adopted by CSPs globally. The rApp ecosystem offers an open innovation model, enabling developers to bring new applications to market quickly, while the EIAP platform provides the infrastructure to deploy these innovations seamlessly.

For those interested in exploring the possibilities of Ericsson’s rApp technology, additional information is available in the newly launched rApp Directory from Ericsson, which offers insights into the latest applications shaping the future of automated, intelligent network management. For more details on the Ericsson Automated Configuration Consistency rApp and other rApps, visit the recently launched rApp Directory from Ericsson.


Recent Content

The emergence of 6G networks marks a paradigm shift in the way wireless systems are conceived and managed. Unlike its predecessors, 6G will embed Artificial Intelligence (AI) as a native capability across all network layers, enabling real-time adaptability, intelligent orchestration, and autonomous decision-making. This paper explores the symbiosis between AI and 6G, highlighting key applications such as predictive analytics, alarm correlation, and edge-native intelligence. Detailed insights into AI model selection and architecture are provided to bridge the current technical gap. Finally, the cultural and organizational changes required to realize AI-driven 6G networks are discussed. A graphical abstract is suggested to visually summarize the proposed architecture.
As the telecom world accelerates toward 5G-Advanced and sets its sights on 6G, artificial intelligence (AI) is no longer a peripheral technology — it is becoming the brain of the mobile network. AI-driven Radio Access Networks (RANs), and increasingly AI-native architectures, are reshaping how operators design, optimize, and monetize their networks. From zero-touch automation to intelligent spectrum management and edge AI services, the integration of AI and machine learning (ML) is unlocking both operational efficiencies and new business models.

This article explores the evolution of AI in the RAN, the architectural shifts needed to support it, the critical role of Open RAN, and the most promising AI use cases from the field. For telcos, this is not just a technical upgrade — it is a strategic inflection point.
ZTE and e& UAE have completed a successful Private 5G Network trial, showcasing high uplink speeds, multi-band adaptability, and ZTE’s NodeEngine Edge Computing platform. This trial enables rapid deployment, stronger enterprise connectivity, and practical use cases for smart industries, aligning with the UAE’s goal of becoming a digital innovation leader.
Spark and Air New Zealand have activated New Zealand’s first Private 5G Network for business operations at Auckland Airport’s logistics warehouse. Using Ericsson’s enterprise-grade 5G, the network powers a drone-robot system that automates stocktakes, keeps staff safer by removing the need for high-shelf manual scanning, and provides real-time inventory data to boost efficiency. This smart warehousing solution sets a new benchmark for airport logistics and supply chain innovation in New Zealand.
2025 has seen major telecom and tech M&A activity, including billion-dollar deals in fiber, AI, cloud, and cybersecurity. This monthly tracker details key acquisitions, like AT&T buying Lumen’s fiber assets and Google’s $32B move for Wiz, highlighting how consolidation is shaping the competitive landscape.
Deutsche Telekom, Orange, and the Linux Foundation outline their 2025 cloud-native telecom roadmap, highlighting Kubernetes-native workloads, AI integration, observability, and zero-trust security models. Learn how open-source tooling, GitOps automation, and cultural transformation are reshaping next-gen telco operations.
Whitepaper
Explore RADCOM's whitepaper 'Unleashing the Power of 5G Analytics' to understand how telecom operators can drive cost savings and revenue with 5G. Learn about NWDAF's role in network efficiency, innovative use cases, and analytics monetization strategies. Download now for key insights into optimizing 5G network performance....
Radcom Logo

It seems we can't find what you're looking for.

Download Magazine

With Subscription

Subscribe To Our Newsletter

Scroll to Top

Private Network Readiness Assessment

Run your readiness check now — for enterprises, operators, OEMs & SIs planning and delivering Private 5G solutions with confidence.