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RelayOps open-sources AI agent for telecom support

An open-source AI agent named RelayOps has been developed to handle customer support for telecom and subscription billing. This agent has demonstrated a 54% auto-resolution rate on a sample of 50 tickets, with zero unsafe actions or billing escapes in adversarial testing. RelayOps utilizes a fine-tuned Qwen2.5 model for intent classification and a hybrid RAG system, incorporating independent guardrails to prevent inaccurate pricing or offers. AI

IMPACT This open-source release provides a specialized AI agent for customer support, potentially improving efficiency and safety in telecom billing operations.

RANK_REASON The cluster describes an open-source release of an AI agent with detailed performance metrics and technical specifications, fitting the criteria for a research release. [lever_c_demoted from research: ic=1 ai=1.0]

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  1. r/MachineLearning TIER_1 English(EN) · /u/Fit_Fortune953 ·

    RelayOps - Production-shaped telecom support agent (54% auto-resolve, 0 unsafe actions, full audit + decision console) [P]

    <!-- SC_OFF --><div class="md"><p>I just open-sourced RelayOps - a small, honest, production-shaped AI support agent built specifically for telecom and subscription billing queues.</p> <p>Key results (v1.5.1):</p> <ul> <li>54% of a 50-ticket sample queue auto-resolved</li> <li>0 …