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Agentic NOC: Model-driven risk prevention at scale

URN C26.5.1019
Topics Autonomous networks, Fault management, Resilience

Moonshot Catalyst - Detect the risk. Simulate the impact. Prevent the disruption.

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Agentic NOC: Model-Driven Risk Prevention at Scale is an innovative Catalyst focused on helping Communications Service Providers (CSPs) prevent network service disruptions before they occur. Rather than relying on traditional reactive operations, the project introduces an AI-native approach that proactively detects potential risks, assesses their business impact and supports intelligent decision-making before customers are affected. By shifting from outage response to outage prevention, the Catalyst enables CSPs to improve network resilience, enhance customer satisfaction and protect critical revenue streams. At the heart of the solution is the combination of Agentic AI, Digital Twin Network (DTN) simulation and advanced domain modelling to create a predictive operational environment. The Digital Twin enables the system to analyse historical and real-time network behaviour, simulate potential downstream impacts and identify service outage risks before they develop into customer-facing incidents. Agentic AI accelerates risk identification and prioritisation at a scale beyond human capability, providing operations teams with actionable insights and recommended remediation actions that enable faster, more informed decision-making. A key innovation of the project is its ability to support autonomous operations without requiring additional human resources or operational overhead. The solution transforms network management into a proactive, predictive and increasingly self-healing operating model, creating a foundation for Level 4 autonomous networks and zero-touch operations. By combining predictive analytics with simulation-driven intelligence, CSPs can reduce dependency on costly emergency responses, minimise human error and build greater confidence in AI-driven operational decision-making. The business value is substantial. CSPs benefit from lower operating costs through reduced troubleshooting and field-dispatch activities, while improved network reliability helps minimise customer complaints, subscriber churn and revenue loss associated with service outages. The ability to prevent disruptions also opens opportunities for premium SLA-backed services and differentiated enterprise offerings, turning network reliability into a competitive advantage. Ultimately, the Catalyst demonstrates how AI-native operations can transform service assurance from a reactive function into a strategic business capability that drives efficiency, customer loyalty and long-term revenue growth.

Resources

List of TM Forum Assets

List of TM Forum Assets

GB1505A_Individual_Service_Fault_Management_Questionnaire_v2.0.0 - Contributed

IG1505A: AN L4 Individual Service Fault Management Solution Package - Contributed

Supporting evidence & resources

IEEE paper on Spatial-Temporal Fusion Transformaer

New-generation intelligent operations: An AI-native reinvention

Team members

ADVANCED INFO SERVICE PLC. (AIS) logo
Champion
Cantone Technology Co.,Ltd. logo
China Unicom logo
Champion
Huawei Technologies Co. Ltd logo
Indosat Ooredoo Hutchison logo
Champion
OMANTEL logo
Champion
Saudi Telecom Company logo
Champion
SelfX Now Technologies LLC logo

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