n8n is fast. n8n is visible. n8n is not the destination.
TL;DR. We build n8n workflows as a prototype and validation layer — fast, transparent, always pullable apart. When a workflow turns business-critical, we translate it into production-grade code. That's what Dision Tech is for.
What this is about
n8n is the right tool to find out whether a workflow is worth anything. It's visual, quick to change, and you can see exactly what it does. It is the wrong tool to run a business-critical process forever. We use it deliberately as a bridge: prototype fast, validate against reality, and only then decide what deserves real engineering.
How we run it
We build the workflow in n8n — lead routing, contract pre-review, onboarding automation, data migration, reporting pipelines, simple RAG frontends. We wire AI nodes through our LLM Gateway so the model choice, budget and DLP are governed from day one. You watch it run. When it earns its keep and needs monitoring, SLA and logging, we hand it to Dision Tech to rebuild as a maintainable application.
When it fits
Teams that want a working automation this month, not a six-month project. Processes that are still changing and need a cheap place to iterate. Organisations validating an AI use case before committing engineering budget.
What we don't do
We don't pretend n8n is an enterprise platform. We don't leave you with a 200-node spaghetti workflow nobody can maintain. When it's critical, we say so — and we have the sister company to productionise it.
What you can hand off
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Working n8n workflow
Built, documented, running. Single integration or multi-system with conditional logic and error handling.
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Gateway-governed AI nodes
Model choice, budget caps and DLP through the LLM Gateway — not raw API keys in a workflow.
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Validation report
Does it earn its keep? What breaks? What needs to be real code?
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Escalation path to Dision Tech
When critical, a clean handover to enterprise app development — architecture, tests, deployment, SLA.
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Maintenance option
Monitoring, updates and break-fix per workflow if you keep it in n8n for now.
Engagement facts
| Simple workflow | Single integration, 3–5 nodes, basic logic |
|---|---|
| Complex workflow | Multi-system, conditional logic, error handling, AI nodes |
| AI nodes | Routed through the LLM Gateway — governed, not raw |
| Escalation | Business-critical workflows go to Dision Tech for production code |
| Maintenance | Optional, per workflow |
Asked before the briefing
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Why not just keep everything in n8n?
Because n8n is excellent for iteration and poor for business-critical scale. When you need monitoring, SLA and maintainability, it's time for real code. We tell you when that line is crossed. -
Who runs the workflows?
You can, or we can as part of a managed mandate. Either way the AI nodes are governed by your gateway. -
What is Dision Tech?
Our sister company for enterprise application development. It takes validated n8n prototypes and rebuilds them as production-grade applications with architecture, tests, deployment and SLA. -
Do our credentials sit in the workflow?
No. AI calls route through the LLM Gateway with centrally managed keys and policies. No credentials scattered in workflow nodes.
A working automation this month.
We prototype it in n8n, govern the AI nodes through the gateway, and tell you honestly when it deserves to become real code.