The ‘Multi-level multi-agent network fault healing’ Catalyst delivers a hierarchical multi-agent system that uses LLM-driven diagnosis, digital-twin simulation and cross-domain coordination to automate end-to-end network fault detection, analysis and repair.
Large 5G rollouts and the growth of computing-network services have created dense layers of operational systems that generate vast volumes of alarms and events. These environments now demand response times that conventional tools cannot provide. CSPs face surges in work orders triggered by alarm storms, limited coordination between domains, and manual processes that slow fault handling. Diagnosis often relies on isolated tools and human knowledge, with little ability to form a complete cross-domain view. As a result, network operations centers experience long mean time to repair, inconsistent practices, and rising operational costs.
This pressure is particularly visible in transport networks, where faults often involve multiple layers and vendors. A single issue can trigger related alarms across fiber, optical, IP and service layers, yet existing systems treat these fragments separately. CSPs cannot easily connect symptoms to a root cause or confirm the impact on services. Manual effort still dominates routine faults, and repetitive tasks consume valuable specialist time. These challenges impose commercial strain. Slow diagnosis prolongs service interruptions and weakens SLA performance. High OPEX limits the ability to scale new services. As networks evolve toward Level 4 autonomy, these constraints become incompatible with the operational maturity required.
The market context also shows clear demand for more intelligent and automated models. CSPs need systems that integrate network insights, interpret intent, act across domains, and verify change before execution. They require architectures that support collaboration rather than isolated automation. Crucially, they need solutions that can be deployed at scale without heavy customization, and with standardized interfaces that avoid vendor lock-in.
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