The use case: how Unbabel deploys n8n
Unbabel built a peak management system with n8n that checks the translation backlog every hour. When a language pair has excess workload, it sends a Slack notification to Community Managers and an email to editors saying work is available.
Figures in the source
Figures published in n8n’s case study. They are not independently measured by usedby.
10%
Additionally, none of the primary language pairs had more than 10% of translations taking over an hour’s time.
In the customer’s words
This wouldn’t have happened without n8n, especially in the timeframe we were able to achieve it. We were developing a portal and internal apps at the same time, so getting engineering capacity would have been impossible.n8n users in Artificial Intelligence
Companies in the same sector, with public evidence.
See all n8n customersGo straight to the source
Based on n8n’s published case study. We check the public evidence; the results are reported by the vendor.
n8n.io- Last checked
- Oct 7, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Unbabel.
- Unbabel uses n8nChecked
Confirmed line.
- The result itselfNot checked
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After successfully deploying the workflow, the Unbabel team managed to help Community Managers reduce the number of peak-related emails they had to send editors by 55%.



