Intel / article

How We Solve 22000 Support Tickets Every Month With Elevenagents

Source: elevenlabs.io
Author: ElevenLabs editorial sitemap
Date: Published Oct 13, 2026

Context

ElevenLabs built its support around existing support procedures and access to customer account information. Procedures specify how to handle a ticket category, while webhook tools retrieve details such as subscription and usage information. Together, those components let the agent take relevant actions and escalate cases when needed. The company reports resolving 65% of tickets end to end in the month described.

Before deployment, the team tested roughly 50 common scenarios and observed proposed responses to production traffic in shadow mode. It reruns tests after configuration changes, while support staff continue updating policies and investigating failures. The reported automation rests on that maintained operational workflow. Source.

Key takeaways · AI-distilled

ElevenLabs says average first response time fell to 60 seconds from hours after adding the agent, and 70% of conversations it handled were rated positively by users.
The simulation suite covers roughly 50 of the scenarios the support team sees most often; the and procedures were iterated until all tests passed, then the suite is rerun after config changes.
Before launch, the team ran the agent in shadow mode on production traffic inside its ticketing system and only rolled it out once it was confident in the agent's responses.
The Architect builder is used to diagnose why tickets escalate, attributing them to a knowledge base gap, a missing tool, or an unclear internal policy, and then proposes fixes.
Every proposed change gets new simulation tests added to the full suite before shipping, while human support staff stay in the loop to set policy and avoid overfitting to one ticket type.

Terms in this piece · Glossary

AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
system prompt — The standing instructions a model receives before any user input — defining its role, rules, tools, and tone for the whole conversation.

Read the source elevenlabs.io