n8n
Automations that keep running when nobody is watching
Our engineers build n8n workflows the way they build software: in Git, with credentials locked down and a plan for the run that fails at 2am. You interview them before anyone starts.
What you are getting
4 things that decide this
- 01Senior engineers only, who treat a workflow as code: it lives in Git, it gets reviewed, and it can be rolled back.
- 02You interview every engineer yourself before they join, so nobody arrives as a profile picked for you.
- 03They work in your n8n instance and your repo, not behind a ticket queue, and they stay on the same project.
- 04You own every workflow, credential and script from the first commit. Interview each engineer first, and turn down anyone who does not convince you.
What an n8n developer actually does here
Dragging nodes onto a canvas is the easy part. The job is everything that happens after the happy path.
For Little Tree Confections we turned meetings into tracked work. A Fireflies.ai transcript goes in, GPT-4o pulls out the commitments, and tasks land in ClickUp and Notion routed to the right department. Nobody types them up. The workflows sit under Git version control with credentials held in an encrypted store, so a rotated API key is a config change rather than a rebuild.
That is the difference we are selling. A demo workflow runs once. A production one knows what to do when ClickUp returns a 429 and the transcript is half-parsed.
What they take off your plate
Failure handling you can see
Retries with backoff, a dead-letter path, and an alert that names the run. Silent failure is the normal way an automation dies.
Workflows under version control
Exported to Git and reviewed like any other change. Without this, the only record of why a node exists is the person who added it.
Credentials that survive an audit
Stored in n8n's encrypted credential store, scoped per integration, and rotatable without editing twelve workflows.
Self-hosting done properly
Queue mode, backups and upgrades. Self-hosting n8n is free of licence cost and not free of work, and the work is where teams get stuck.
The AI step, kept honest
A model in a workflow needs a check on its output. We add the validation step that stops a bad extraction becoming forty wrong tasks.
- TriggerWebhook or schedule
- ValidateReject bad input early
- ActThe integration call
- RetryBackoff, then dead-letter
- AlertA human hears about it
The last two boxes are what separate a workflow that runs from one you can rely on. Most canvases we inherit stop at the third.
Systems that run unattended
“They really help you understand the problem and deliver solutions in a short time frame.”
Johannes Peter · CEO, TomoDomo Coliving
How hiring works
- 01
Tell us what is breaking
A free call about the process, the tools it touches and who notices when it stops. If n8n is the wrong tool for it, we say so on that call.
- 02
Meet the engineers
We shortlist against the workflows you actually run, and you interview them your own way. Decline anyone, and we go back to the shortlist.
- 03
They embed
Your n8n instance, your repo, your standups. One of our engineers owns the automation and is named as the person who answers for it.
- 04
They hand over
Exported workflows in your repository, credentials you control, and a person on your team who can change a node without calling anyone. Where a team would rather not carry the pager, we keep it under a service level we agree.
Stack
Automation
Models and tools
Practices
Bring us the workflow that keeps breaking
Show us the process and the tools behind it. The scoping call is free, and you will leave knowing whether this is an automation problem or a process problem.
01Can they work in our existing n8n instance?
Yes, and that is the usual arrangement. They get access to your instance and your repo, audit what is already running, then change it in reviewable steps. We do not rebuild a working automation to put our name on it.
02Do we need to self-host n8n, or is Cloud fine?
Cloud is fine for most teams, and n8n handles hosting, updates and scaling there. Self-hosting is worth it when the workflow must reach systems inside your network or your data cannot leave your infrastructure. n8n's own documentation is blunt that self-hosting makes maintenance your responsibility.
03Is n8n open source, and does that matter for us?
n8n is source-available under the Sustainable Use License, not open source in the OSI sense. You may run and modify it for your own internal business purposes at no licence cost. You may not resell it as a hosted service, which only matters if that was your plan.
04What stops an automation from quietly breaking?
An alert that fires on a failed run, and a person named to receive it. We add retries with backoff and a dead-letter path so a failed run is parked rather than lost, then wire the alert into the channel your team already reads.
05Who owns the workflows and the credentials?
Yours, from the first commit. The exported workflow JSON sits in your repository and the credentials sit in your instance under your control, so nothing about ending the engagement requires our cooperation.
06How do you price automation work?
By the shape of the process, not the number of nodes. What moves the price is how many systems a workflow touches, how badly they behave when they fail, and whether anyone has written the rules down. Scoping calls are free. Where the answer depends on reading automation someone else built, a paid two-week diagnostic ends with a fixed price.
