Koralplay automates 70% of payment support tickets with n8n, saving 616 hours per week
Koralplay's Level 2 support team manually handled blocked-payment tickets by logging into the back office, authenticating through multi-factor security, looking up transactions, and messaging customers — a process taking 10–15 minutes per ticket. Other teams faced similar friction: reporting required manual SQL queries and email distribution, engineering lacked a standard release-notes process, and QA had unreplaced manual steps.
Koralplay automated 70% of payment support ticket handling in one market, saving 616 hours per week and cutting per-ticket resolution from 10–15 minutes to about 70 seconds.
With over 4,000 workflow executions per week in production and roughly 60 of 85 employees using n8n daily, n8n became critical operational infrastructure.
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Frequently asked questions
What did this team achieve with this AI workflow?
Koralplay automated 70% of payment support ticket handling in one market, saving 616 hours per week and cutting per-ticket resolution from 10–15 minutes to about 70 seconds.
What tools did this team use?
n8n, Slack, Notion.
What results were reported?
Hours saved per week: 616 hours per week; Payment support ticket handling automated: 70%; Ticket resolution time: 10-15 minutes per ticket now happens in about 70 seconds; Workflow executions per week in production: over 4,000 (source-reported, not independently verified).
How is this customer support AI workflow structured?
Customer reports blocked payment → Secure authentication → Transaction enrichment and regulatory check → Ticket update in Notion → Customer notification.