ElevenLabs says internal ElevenAgents save over 1,200 hours a month
Overview
ElevenLabs says its internal ElevenAgents save teams more than 1,200 hours a month in daily operations.
The company's first-party blog post reports that in the last month the agents answered over 5,000 questions and opened more than 150 tickets. Sales, support, engineering and product teams use them, and they have moved from retrieving information in Slack to taking actions such as building customer demos and triaging bugs and feature requests into Linear.
According to ElevenLabs, curating each agent's data mattered more than prompt tuning for answer quality. It says it now fetches valid values at startup and injects them into the MCP tool's type definitions, so the model can only choose real options.
Written by AI from the articles below · updated Oct 29, 9:20 AM ET
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- ElevenLabs BlogOfficialElevenLabs says its internal ElevenAgents save teams over 1,200 hours a month
AIElevenLabs says its internal ElevenAgents save teams more than 1,200 hours a month in daily operations, answering over 5,000 questions and opening more than 150 tickets in the last month. The agents, used by sales, support, engineering and product teams, have moved from retrieving information in Slack to taking actions such as building customer demos and triaging bugs and feature requests into Linear. The company says curating each agent's data mattered more than prompt tuning for answer quality.
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