AI Automation

n8n connects to hundreds of apps, handles custom API calls and can run on your own server, which matters when workflows touch customer or financial data. It has native AI steps, so a workflow can read a document or classify a message and keep going. Its visual editor lets your team see what each workflow does. When n8n is the wrong fit, we write the integration as code or build an app.

The task that costs the most hours and follows the clearest rule. We list repeated tasks with your team, estimate hours per month for each, and start where a mistake is cheap to catch: reports, data entry between systems, reminders. Tasks that touch money, like invoices or payments, get automated with a human approval step before anything leaves the company.

From hours your team stops spending on manual work and from errors that stop happening. A report rebuilt by hand every week, an invoice typed twice, a payment matched line by line: each one has a monthly cost in salary and in mistakes. We measure those hours in the diagnosis, and that baseline is how we report the saving.

Every workflow has an owner and sends its errors to a channel your team watches, with the record that failed. Most failures come from a renamed field, an expired token or a system that was down, and the fix is quick once someone sees it. During the contract we monitor and fix them. We also document each workflow, so your team or another provider can maintain it later.

Usually not. We automate on top of the software, ERP, DMS and spreadsheets you already have, as long as they offer an API, a database we can read or a file export. When a system has none of these, we look for the least painful workaround. Replacing a system is a separate decision we make with you, with its cost and its benefit on the table.