Lindy empowers teams to scale with AI Agents powered by Claude
Lindy — Read the case study to see how they build on the Claude Platform. “The vision has always been to build an AI employee that provides both maximum capability and maximum ease of use,” explained Luiz Scheidegger, Head of Engineering at Lindy. Lindy achieved 10x customer growth with Claude. Since implementing Claude Sonnet 3.5 as the default model for their agents, Lindy has achieved 10x customer growth.
- Agent or tool
- Claude
- Topic
- Customer Support
- Reported on
- Case study (Anthropic)
- Added
- 2026-11-11
Why it matters
Support is repetitive and time-sensitive. Agents can draft answers, look things up and handle simple requests, so people can focus on the tricky ones. It is one of 554 sightings filed under Customer Support on Agent Sightings (number 133 by interest), and one of 213 involving Claude.
How you could try it
Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into Claude or any similar agent and adjust the details to your situation.
I want an agent to handle routine customer questions end to end, and pass anything unclear to a person. The tool in the source case was Claude.
Tip: Start small: run it once on a low-stakes example, read what the agent did, and only then let it run on real work.
Source
Read the original first-hand account on Case study (Anthropic): https://claude.com/customers/lindy. Our summary is a paraphrase; details are in the source.
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