At MWC 2026, Telstra announced a major step forward in its journey towards building one of the world’s most advanced autonomous networks in collaboration with Red Hat and other industry partners. Telstra executed a proof-of-concept within a live telecommunication (telco) cloud environment to autonomously detect and resolve an unplanned infrastructure outage by shifting critical network applications to healthy infrastructure in just minutes. The result shows how a multivendor, AI-native architecture can enable self-healing operations at scale. Central to this exciting new capability are the open, scalable, and production‑grade AI and automation platforms from Red Hat.

Before explaining the new capability, let’s explore how telco networks currently manage disruptions, such as a failure in a key component of the technology stack.

In this scenario, an operations engineer often spends hours performing manual triage to answer critical questions:

  • Is this a hardware or software issue?
  • Is it related to the compute layer, storage layer, networking layer, application layer, or something else?
  • If it's a software issue, which component is malfunctioning, and which specific commands are needed to ascertain the cause?
  • What do I need to do to remediate this issue?

As demonstrated by Telstra, AI-assisted operations aim to significantly simplify remediation by taking advantage of both AI and automation—reducing recovery times from hours to minutes while increasing platform stability and elevating the customer experience.

The first phase of demonstration showed how gen AI can assist human operators by unifying multivendor data into an AI-enabled interface, in this case Red Hat OpenShift Lightspeed. The second demonstration showcased a fully autonomous, AI- and automation-enabled self-healing loop, allowing the AI agent to apply reasoning to select the best remediation approach.

Powered by Red Hat OpenShift AI, this agent enables cross-platform interactions, instantly communicating with third-party management platforms and Telstra’s Knowledge DB via MCP servers.

Once the AI agent determines the correct course of action, it automatically triggers Red Hat Ansible Automation Platform to apply the corrective action directly to the application.

Once the AI agent determines the correct course of action, it automatically triggers Red Hat Ansible Automation Platform to apply the corrective action directly to the application. With Policy as Code (PaC), role-based access control (RBAC), and full audit trails, Ansible Automation Platform makes sure that every corrective action is authorized, consistent, and fully documented.

By using Red Hat OpenShift as the application platform, OpenShift AI as the intelligence layer, and Ansible Automation Platform as the trusted execution engine, Telstra is charting a path to autonomous self-healing networks. While the technological leap for network operators is profound, the true measure of Telstra’s AI-enabled autonomous network lies in the experience of the end customer. 

How AI self-healing protects the customer experience

Imagine a small business owner who is in the middle of a live-streamed product launch to thousands of online customers. She is relying on a rock-solid, high-speed 5G connection to broadcast her video feed. Deep within a Telstra datacenter miles away, a sudden hardware fault occurs. A critical server hosting the cloud-native network functions (CNFs) that process her mobile traffic begins to fail. In the past, this hardware failure would have immediate and visible consequences. She would lose her audience, lose momentum, and likely blame the network for the disruption. Meanwhile, an operations engineer would be scrambling to restore her service.

With the AI self-healing architecture in production, the outcome is different. The moment the hardware begins to degrade, the AI agent, powered by OpenShift AI, detects the anomaly and autonomously gets to work. It communicates with the underlying infrastructure, understands the context, and uses Ansible Automation Platform to shift network traffic to healthy systems.

The impact to the end customer is also very different. 

For the customer, the live stream disruption is only a minor inconvenience, and the audience continues to remain engaged. She finishes her product launch successfully, completely unaware that a critical piece of infrastructure just failed and was autonomously replaced in real time.

By removing the human from incident response, the AI-driven system detects and resolves network degradation before it significantly impacts the end customer. Telstra’s showcase at MWC is more than just an impressive technical demonstration; the PoC proves that the vision of a fully autonomous network is no longer a distant, theoretical concept—it’s both practical and achievable.

製品トライアル

Red Hat OpenShift AI (セルフマネージド型) | 製品トライアル

ハイブリッドクラウド用のオープンソース機械学習 (ML) プラットフォーム。

執筆者紹介

Dev Shanbhag is a Principal Architect at Red Hat with over 20 years of experience in infrastructure and automation.

Dev is dedicated full-time to one of Australia's most strategically significant telco accounts, working as a Technical Solutions Lead. He brings a deep understanding of both the telco industry and the broader IT landscape — grounded in years of delivery and presales experience — to help his customer evaluate options, shape solutions, and turn their technology ambitions into reality.

Bosco Sachanandani With more than two decades of dedicated experience in telecommunications, Bosco Sachanandani is a Principal Architect and Subject Matter Expert at Red Hat, where he focuses on on-premises, hybrid cloud, and automation solutions in the ANZ region.

In his role, Bosco partners closely with telco customers to navigate complex technology transformations. His domain expertise spans mobile core networks, IP transport networks, Operations Support Systems (OSS), and Business Support Systems (BSS).

Prior to Red Hat, Bosco held Principal Architect roles at Google and Ericsson, where he led major technology transformation programs across the Asia-Pacific and Japan (APJ) region. He brings a rare blend of deep technical knowledge and strategic business acumen, underpinned by an MBA and a Bachelor of IT from the University of South Australia.

Miko is a Cloud Development Lead at Telstra, with over 20 years of experience across the telecommunications and cloud industries. 

He specialises in driving strategic initiatives across organisations, leading the design and delivery of complex programs that span business, technology, and operations. 

With a strong background in private cloud, product development, and data analytics, he brings an end-to-end perspective to large-scale transformation initiatives. 

Prior to joining Telstra, he worked at Optus, Aircom, Huawei, and Orange.

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