ElevenLabs shows how its AI support agent handles 22,000 tickets a month — image from ElevenLabs
Image: ElevenLabs

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ElevenLabs shows how its AI support agent handles 22,000 tickets a month

ElevenLabs describes how it built its ElevenAgents AI support agent, which resolved 65% of tickets end to end last month, and how it tests and improves it.

Summary

ElevenLabs runs its own customer support on its ElevenAgents AI product and says it resolves over 22,000 tickets monthly. The post explains the build: existing support procedures turned into agent workflows, tools that look up account data, and testing before launch. The team also uses Architect, its natural language agent builder, to find why tickets escalate and to draft fixes.

What changed

  • The AI agent resolved 65% of tickets end to end last month.
  • Average initial response time is now 60 seconds, down from hours.
  • 70% of conversations the AI agent handled were rated positively by users.
  • Support playbooks became Procedures, and webhook tools look up account details.
  • Simulation tests and shadow mode were used to check the agent before launch.

Availability

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Founder takeaway

If you run support, the method is worth copying: write down your procedures, test the agent on your roughly 50 most common ticket types, and run it alongside live traffic before switching it on. These are the vendor's own results, so check them against your own tickets.

Source

ElevenLabsHow we solve 22,000 support tickets monthly via ElevenAgents

Announced Checked

Researched and drafted with AI from the official sources above, then checked automatically before publishing. Spotted a mistake? Tell us.

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