In the context of optimizing AI solutions for customer workflow, Spirent employs a collaborative system of 10 to 12 specialized agents that effectively process information like PCAP files, logs, and KPIs. This collective expertise ensures accurate analysis and identification of root causes. A critical consideration in AI deployment is determinism; while large language models (LLMs) can enhance processing, they risk hallucinating incorrect information if relied upon solely. Spirent addresses this by integrating third-party AI platforms and emphasizing that LLMs constitute only about 10% of the overall solution. The majority of the knowledge relies on a robust RAG database and deterministic rule sets tied to protocol stack behavior. This strategic approach allows for precise identification of issues at the subscriber level, where machine learning alone may fall short. Ultimately, incorporating domain knowledge in developing rule sets ensures reliable outcomes and enhances AI effectiveness in complex environments.
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