10d • General discussion 💬
How serious AI agencies actually use n8n (beyond basic automations)
A lot of agencies say they “use n8n”.
In reality, most are just wiring tools together.
The agencies getting real leverage treat n8n as a control layer, not an automation toy.
Here’s what that looks like in practice:
• n8n as an orchestrator, not the worker AI models do the thinking.
n8n decides when, why, and in what order they run.
• Conditional flows based on client context Same workflow behaves differently for:
– SMB vs enterprise
– warm lead vs cold lead
– existing client vs trial user
This is done through branching logic, not separate workflows.
• Error handling as a first-class citizen Good setups assume things will fail:
– retries
– fallbacks
– human handoff when confidence drops
No silent failures.
• Logging everything that matters Every execution stores:
– inputs
– decisions taken
– outputs
– final outcome
This becomes internal intelligence, not just logs.
• One workflow, many clients Instead of cloning automations per client, they pass client configs as variables.
Cleaner. Scalable. Maintainable.
n8n isn’t powerful because it connects apps.
It’s powerful because it lets you encode operational logic.
That’s the difference between “automation” and an agency that actually scales.
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How serious AI agencies actually use n8n (beyond basic automations)
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