Summary：**Multivendor Agentic AI Solution for Cloud RAN****Introduction** Telecom operators are under press

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**Multivendor Agentic AI Solution for Cloud RAN**

**Introduction**
Telecom operators are under pressure to keep 5G networks running smoothly while managing a growing mix of vendors and software layers. Traditional troubleshooting in Cloud RAN often means engineers sifting through logs, correlating alarms, and waiting for manual ticket escalation—a process that can stretch resolution times from minutes to hours. A new collaboration between Ericsson, Red Hat, and Intel aims to flip that script by embedding agentic AI directly into the Cloud RAN stack, turning reactive firefighting into proactive, automated problem‑solving.

**Key Developments**
The trio announced a joint reference architecture that combines Ericsson’s RAN software portfolio, Red Hat’s OpenShift‑based cloud platform, and Intel’s Xeon Scalable processors equipped with AI acceleration. At the heart of the system is an agentic AI layer that continuously observes network telemetry, builds contextual models of normal behavior, and autonomously initiates diagnostic playbooks when anomalies appear. Unlike rule‑based scripts, these AI agents can hypothesize multiple failure paths, run lightweight simulations in a sandbox, and prioritize actions based on predicted impact. Early field trials with a European operator showed a 45 % reduction in mean‑time‑to‑troubleshoot and a 30 % drop in manual ticket volume, while preserving multivendor interoperability through open APIs and standardized data models.

**Industry Analysis**
Analysts note that the move reflects a broader shift toward intent‑driven, self‑healing networks