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Agentic operations: accelerating telecom autonomy

URN C26.5.1021
Topics AI (Artificial Intelligence), Autonomous networks, Digital twin

Bridging the AI actionability gap: transforming full-lifecycle telecom operations via domain-specific model and expert-agents collaboration

Agentic Operations: Accelerating Telecom Autonomy is redefining how communications service providers (CSPs) operationalise AI by transforming it from a passive advisory tool into a trusted, production-grade operational engine. While many AI pilots struggle to deliver value in live telecom environments due to hallucinations, limited domain understanding, and a lack of execution trust, this Catalyst introduces an AI-Native Agentic Operations Framework designed specifically for network operations. By combining domain intelligence, simulation-driven decision-making, and autonomous execution, the solution enables CSPs to safely accelerate their journey towards Level 4 Autonomous Networks while delivering measurable business outcomes. The innovation centres on a unique three-layer architecture that connects operational intent, intelligent decision-making, and governed execution into a single closed-loop system. Powered by specialised telecom domain models, Digital Twin Networks, and multi-agent collaboration, the solution allows operational actions to be simulated, validated, and optimised before any changes are applied to live networks. This bridges the long-standing gap between conversational AI and real-world network operations, creating a trusted environment where AI recommendations can move beyond analysis and safely drive action. By leveraging Digital Twin technology and purpose-built telecom intelligence, the Catalyst shifts network management from reactive troubleshooting to proactive, outcome-driven operations. Rather than focusing solely on network KPIs, the framework aligns operational decisions with business objectives such as customer experience, Net Promoter Score (NPS) improvement, and High-Value Customer retention. Automated diagnosis, root-cause analysis, and remediation dramatically reduce manual intervention, compress troubleshooting cycles from hours to seconds, and allow engineers to transition from operational executors to AI supervisors overseeing autonomous workflows. The business value for CSPs is significant. Through rigorous pre-verification, safety control gates, and policy-governed execution, the solution addresses the industry's critical trust and actionability challenge, enabling AI to operate confidently within live production environments. The result is lower operational expenditure, faster resolution times, improved service quality, reduced customer churn, and stronger returns on AI investments. By combining trusted autonomy, operational intelligence, and measurable customer and financial outcomes, Agentic Operations provides a practical blueprint for transforming telecom networks into highly autonomous, business-driven digital platforms.

Team members

ADVANCED INFO SERVICE PLC. (AIS) logo
Champion
China Telecom Digital Intelligence Technology Co., Ltd logo
Huawei Technologies Co. Ltd logo
Ooredoo Group logo
Champion
Primforce Technologies Ltd. logo
PT Telekomunikasi Selular logo
Champion

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