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PRISM-AI: Proactive Real-time Intent-based Service assurance for Multi-domain networks using AI - Phase II

URN C26.0.949

Topics AI (Artificial Intelligence), Autonomous networks, Fault management

Intent Based AI-driven Multi-Domain Fault Correlation with Autonomous Resolution

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Phase II advances the Catalyst’s agentic AI service assurance framework from cross-domain fault correlation to a fully autonomous, intent-driven assurance solution spanning the Business, Service, and Resource layers of Autonomous Network Operations. Building on Phase I’s proven AI-driven fault correlation and autonomous remediation capabilities—delivering up to a 25% reduction in MTTR—Phase II delivers a holistic, closed-loop assurance architecture designed for multi-domain, zero-touch operations. The solution leverages an agentic AI framework underpinned by the A2A and Model Context Protocol to maintain real-time synchronization of network inventory, topology, and service context across autonomous agents. This ensures precise, context-aware fault analysis, proactive impact assessment, and faster, more accurate resolution across heterogeneous environments. The architecture aligns with TM Forum’s Open Digital Architecture (ODA) and integrates TM Forum Open APIs, including TMF921 and TMF931, to enable seamless orchestration, telemetry ingestion, and incident lifecycle management. Phase II extends assurance beyond traditional fixed and mobile networks to include Wi-Fi and Satellite Communications (Satcom), while strengthening intent-driven orchestration through real-time translation of business intents into actionable service and resource configurations. An AI-native assurance blueprint introduces predictive and prescriptive analytics to proactively manage SLAs, reduce false positives, and improve Quality of Experience. Security mechanisms for autonomous agents are also embedded to ensure trust, resilience, and governance in zero-touch operations. Integration with CAMARA APIs further supports monetization use cases, linking assurance outcomes to business value. By replacing reactive, rule-based assurance and manual runbooks with AI-driven unified assurance and autonomous resolution, PRISM-AI Phase II addresses the core operational pain points of modern multi-domain networks—enabling faster recovery, improved service reliability, and scalable, intent-based operations aligned with TM Forum standards.