Customer support ·

ChatHQ builds a digital agency platform on n8n's workflow engine

The problem

Digital agencies suffer from communication siloes across channels, tool sprawl across client lifecycle stages, and difficulty sharing project updates across multiple applications.

First attempt

Popular workflow automation alternatives like Zapier and Make imposed customization limits that ruled them out, while building with custom code was projected to take a year.

Workflow diagram · grounded in source
1
Lead captured via web-chat
trigger
“A web-chat widget for capturing leads and customer support requests”
2
Transfer to CRM
integration
“transferred into the integrated CRM ( HighLevel)”
3
Team and client communication
output
“A scalable team & client communication chat app that scales faster and cheaper than the likes of Slack or MS Teams at just a fraction of the cost.”
4
Project updates hub
output
“Establishing one source of truth for sharing updates and conversations regarding ongoing client projects.”
Reported outcome

ChatHQ shipped significantly faster by building on n8n's source-available workflow engine, gaining full customizability and the ability to add features without extensive rebuilds.

Reported metrics
Estimated development time without n8nwould probably take us a year of coding ChatHQ
cost vs Slack or MS Teamsjust a fraction of the cost
Reported stack
n8nHighLevel
Source
https://n8n.io/case-studies/chathq/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

ChatHQ shipped significantly faster by building on n8n's source-available workflow engine, gaining full customizability and the ability to add features without extensive rebuilds.

What tools did this team use?

n8n, HighLevel.

What results were reported?

Estimated development time without n8n: would probably take us a year of coding ChatHQ; cost vs Slack or MS Teams: just a fraction of the cost (source-reported, not independently verified).

What failed first in this deployment?

Popular workflow automation alternatives like Zapier and Make imposed customization limits that ruled them out, while building with custom code was projected to take a year.

How is this customer support AI workflow structured?

Lead captured via web-chat → Transfer to CRM → Team and client communication → Project updates hub.

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