
By delivering a cloud‑native, agentic AI service that integrates with standard O‑RAN interfaces, Ericsson gives CSPs a scalable path to higher automation and cost‑effective capacity growth, accelerating the industry’s move toward fully autonomous networks.
The telecom sector is rapidly embracing AI to tackle the growing complexity of 5G and emerging 6G networks. Operators face mounting pressure to boost capacity, reduce latency, and cut operational expenses, prompting a shift toward higher degrees of network autonomy. Ericsson’s AI portfolio, already processing hundreds of millions of inferences across billions of subscribers, positions the company as a key enabler of this transformation, offering the data‑driven intelligence needed for next‑generation services.
Agentic rApp as a Service differentiates itself through a cloud‑native architecture hosted on AWS and a natural‑language interface that translates plain‑text commands into actionable network directives. By connecting to the Non‑Real‑Time RAN Intelligent Controller via the O‑RAN Alliance’s R1 interface, the platform can operate in any open‑RAN environment, supporting multi‑vendor ecosystems without bespoke integrations. The agentic AI core not only monitors real‑time conditions but also reasons about optimal adjustments, delivering closed‑loop optimisation that aligns with Level 4 autonomy goals.
For communications service providers, the practical impact is twofold: faster rollout of capacity‑enhancing features and reduced reliance on manual tuning. Early trials with Brazil’s Vivo illustrate how the service can scale nationally, promising cost savings and improved user experience. As the solution heads to Mobile World Congress 2026, analysts expect heightened competition among vendors to deliver comparable rApp‑as‑a‑Service offerings, accelerating industry standards and paving the way for fully autonomous networks.
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