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ElevenLabs披露ElevenAgents内部智能体实践

AI 总结

ElevenLabs称,基于ElevenAgents构建的智能体最初用于在Slack中查询内部信息,如今每月回答超过5,000个问题。其工作流包括分流缺陷、检查重复的Linear工单、创建并分配给相应团队的工单,以及根据Slack对话生成客户演示。公司表示,这些智能体每月为ElevenLabs内部团队节省超过1,200小时。

深度见解

这一部署案例展示了智能体参与内部信息检索、缺陷分流、工单创建和客户演示生成。其使用量和节省时间数据来自公司自述。

Internal agents built with ElevenAgents save teams across ElevenLabs more than 1,200 hours a month. Today we’re sharing how we build them and what we’ve learned. The agents started in Slack as a way to look up internal information, and now answer more than 5,000 questions a month, such as “Who are our top customers with logo rights in the UK, France, and Germany?” Some of the agents also act on requests. When someone reports a bug, our triage agent searches Slack for context, checks for duplicate tickets, and opens a Linear ticket assigned to the right team. It opened more than 150 tickets last month. Our Forward Deployed Engineer agent builds customer demos straight from a Slack thread, creating a working agent configured for that prospect’s use case. Read more about how we build them: https://elevenlabs.io/blog/internal-ops-agents

#ElevenLabs#ElevenAgents#Slack#Linear

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