n8n workflow builds
Self-hosted n8n with branching, loops and custom nodes for the tools that have no integration — so your data and API keys never leave your infrastructure.
Automation
AI workflow automation — from scraper to action, reliably
We build n8n and AI automations that run the copy-paste work your team does by hand — enrich a lead, classify a ticket, scrape a source and act on it. The engineering that matters is not the happy path; it is what happens when a step fails.
n8n
self-hosted, no per-task tax
Retries
and alerts, not silent fails
Your keys
stay on your infrastructure
Most automations work in the demo and rot the first time an API hiccups.
A workflow that fails silently is worse than no automation — you trust it, it stops, and nobody notices for a week. We build the retries, dead-letter handling and alerting that make an automation something you can actually forget about, which is the entire point of building one.
What we build
The parts that decide whether it works.
AI-in-the-loop steps
We drop AI in where it earns its keep — classifying, summarising, drafting, extracting — and keep the deterministic steps deterministic, using small cheap models where a small model is enough.
Scrapers to actions
Pull data from a site with no API, enrich it, and act on it — post to Slack, update the CRM, kick off the next step — as one reliable pipeline.
Reliability & error handling
Retries with backoff, dead-letter queues for the runs that still fail, and alerts with the real error — so a 2am break wakes a monitor, not a customer.
How we work
Scoped, shipped weekly, handed over clean.
01
Map the workflow
We trace the manual process step by step, find where AI actually helps, and give a fixed estimate before any build.
02
Build & wire
We build the automation in a live environment, connect your tools, and test it against real runs each week — including the failure cases.
03
Harden & hand over
Retries, alerting, monitoring and readable workflows your team can edit — plus the run cost laid out and support after launch.
Where it fits
What teams hire us to build.
- Lead capture, enrichment and CRM routing
- Support-ticket triage and classification
- Scrape a source, process it, act on the result
- Scheduled reports pulled and posted automatically
- Onboarding and offboarding task chains
- Syncing data between tools with no native integration
Questions
What clients ask before we start.
What does AI workflow automation actually replace?
The copy-paste jobs. The "when a form comes in, check the CRM, enrich it, post to Slack, then email the rep" chains that a person does forty times a day. We wire those into n8n with AI where it earns its keep — classifying, summarising, drafting — and leave the deterministic steps deterministic.
Why n8n instead of Zapier or Make?
n8n is self-hostable, so your data and API keys stay on your infrastructure, and there is no per-task pricing that punishes you for scaling. It handles branching, loops and custom code that the drag-and-drop tools choke on. When Zapier is genuinely the better fit, we will say so.
What happens when an automation breaks at 2am?
It fails loudly, not silently. We build retries with backoff, dead-letter handling for the runs that still fail, and alerts to Slack or email with the actual error — not a generic "workflow failed." An automation you cannot trust is worse than doing it by hand.
Can you automate around tools that have no integration?
Usually yes. If there is an API we build a custom node against it; if there is only a website, we drive it with a scraper. Most "there is no integration for that" problems are a few hours of custom code away from being solved.
How much does this cost to run?
Self-hosted n8n is a small monthly server bill — often under the price of one seat of the SaaS alternatives. The AI steps cost per call, which we keep cheap by using small models where a small model is enough. We lay the run cost out before you commit.
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