Modern Network Operations Centers (NOCs) are under pressure—grappling with manual processes, delayed fault detection, rising incident volumes, and challenges in rapid service restoration. Where automation exists, it is only in fragments. Some teams rely on custom scripts, others on domain-specific AI tools. This patchwork of solutions leads to inefficiency, inconsistency, and missed opportunities for scale. The Agent Fabric Catalyst tackles these issues head-on by enabling a collaborative, multi-vendor ecosystem of autonomous agents designed to operate across different network domains. Instead of isolated scripts or siloed intelligence, it orchestrates specialized agents that work together across network domains. Building on the Phase 1 Incident Copilot, which automated single-domain fault handling, Agent Fabric now extends to cross-domain, allowing specialized agents to autonomously detect, diagnose, and resolve across RAN, transport, and core domains. What Agent Fabric Delivers: * Reduced Manual Effort: Agents automate repetitive and error-prone NOC tasks, improving operational speed and consistency. * Faster Incident Resolution: With intelligent detection and cross-agent coordination, issues are addressed more quickly. * Multi-Domain Execution: Agents operate across previously siloed systems, reducing the need for complex integrations. * Modular & Scalable: Agents can be added or upgraded independently, avoiding disruption and supporting incremental adoption. The Agent Fabric provides a production-ready Agent Registry, supports seamless agent discovery, and enables a plug-and-play model for introducing new capabilities—without requiring a full overhaul of existing systems. Whether it’s identifying root causes, accelerating ticket resolution, or enabling service optimization, Agent Fabric shows how telcos can scale autonomy and boost efficiency—one agent, one domain at a time. Agent Fabric turns fragmented automation into layered yet endogenous intelligence. Instead of siloed scripts or isolated AI tools, it connects autonomous agents across the business, service, and resource operational layers— aligning with TM Forum’s AN L4 Target Architecture. The result: scalable, closed-loop autonomy that evolves network operations without disrupting them.