Business process automation.
The tasks your team repeats every day, running on their own. We design the flow, build it, and leave it in production with monitoring.
Part of your operation works because somebody remembers to do it. Copying orders from email into the system, sending the payment reminder, assembling Monday’s report, setting up a new client across four different platforms. None of those tasks is hard. Together they eat weeks of work a year, and they fail exactly when the team is busiest.
Automating means taking those tasks off someone’s list and leaving them running, with a record of what happened and an alert when something goes wrong.
What we automate most often
Sales follow-up
The lead arrives through a form, WhatsApp, or a campaign, and the system logs it, assigns it, sends the first message, and notifies the rep. If nobody replies within X days, it raises its hand again. No lead goes cold because it slipped through.
Invoicing and reconciliation
Issuing invoices, sending them, tracking payments, and reconciling against the bank statement. Finance reviews exceptions instead of keying everything in.
Recurring reports
The weekly or monthly report someone currently builds by hand from three sources. It builds itself and lands in your inbox or Slack channel at whatever time you pick.
Onboarding
Setting up a new employee or client: accounts, access, documents, welcome emails, reminders. One trigger instead of a checklist split across three people.
System integration
When the CRM, the ERP, the store, and the support tool do not talk to each other, someone connects them by hand. We connect them properly.
What we build it with
We use n8n on most projects. It is an open source automation platform that can run on your own infrastructure, does not charge per execution, and lets you drop into code when the visual interface runs out.
| n8n | Make / Zapier | Custom code | |
|---|---|---|---|
| Cost as you grow | Fixed server | Per operation | Fixed server |
| Where your data lives | Your infrastructure | Vendor servers | Your infrastructure |
| Complex logic | Nodes plus code | Limited | No ceiling |
| Who maintains it | Your team or us | Your team | Us |
The rule we follow: if the process is stable and your team wants to be able to touch it, it goes in n8n. If volume is low and nobody is going to maintain it, Make or Zapier come out cheaper. If the logic is too specific for any visual tool, we write it in code and document it.
How a project starts
We start by measuring. In discovery we review which processes eat the most hours and which fail most often, then sort by return. Automating everything at once is rarely the right call: the first flow in production teaches more about your operation than any document.
Out of that comes a plan with a fixed price, an implementation order, and a date.
Every flow that reaches production ships with monitoring, so if an integration goes down you find out before your customer does.
Automation with AI
When a process depends on reading free text (emails, messages, documents, tickets), we add language models to the flow to classify, extract data, or draft replies. The difference from bolting AI onto everything is that the model only enters where a fixed rule falls short, and always with a verifiable output.
If you want to start by knowing what to automate first, the free diagnostic reads your operation in two minutes.
