AI automation agency for the work your team repeats

Which tasks are worth automating?

Tasks that follow clear rules and come back every week are the ones to automate first, such as passing orders between systems, preparing invoices, matching bank payments or building the Monday report. The data for them already exists somewhere, so the work is mostly connecting systems that don't talk to each other yet.

A good sign is a task that nobody enjoys and everybody does the same way. Copying order details from the online store into the accounting software is a typical one, and so is putting a report together from several exports.

Work that needs judgement every time, or that changes from week to week, is a poor fit. If we come across it in the scan, we'll say so instead of forcing it into a workflow.

What happens in the two-week workflow scan

During the scan we follow a few real orders, invoices or requests from the first step to the last and talk to the people who handle them. That shows where the time goes better than a process chart does, including the steps a chart leaves out.

Each task we find gets a payback estimate, which sets the hours it takes today against the cost of building and running the automation. We show you the numbers behind each estimate, so you can check them against your own. If a task doesn't earn back what it costs, the estimate will show it.

The scan doubles as the kick-off and audit in our usual way of working. The blueprint that follows sets which workflows we build, in which tool and in what order.

Do you need AI automation, or is a workflow enough?

Often a plain workflow is enough. Orders, invoices, bank matching and reports follow rules, so n8n, Make or custom code can handle them without AI. AI earns its place where the input is less tidy, such as an email, a free-text request or a question about your own figures.

When we do use AI, it works on your own data and within limits you set. A secure AI connection to accounting software such as WeFact, for example, works with invoices, quotes, customer records and matching bank payments, with permissions per user and an activity log of every action. The AI prepares the draft, and someone on your team decides whether it goes out.

The same goes for live reporting from Search Console, GA4 and Merchant Center, and for AI assistants that work across several Shopify stores, inboxes or ad accounts. They gather the numbers and write the first draft, and nothing goes live without a person's approval.

n8n, Make or custom code

The choice depends on volume, data and who will look after the flows. Make suits a team that wants to see and adjust its flows in the browser, n8n suits flows you'd rather keep on your own server, and custom code fits high volumes or logic that tools handle badly.

A project often ends up with a mix. The blueprint notes why each workflow sits where it does, so the next person who opens it can follow the logic without asking us.

Automations that already run for clients

Expert Air Services at Schiphol has used our digital delivery notes in production since 31 August 2026, and its invoicing has run automatically since 14 September 2026. The loader and the crew both sign on the loader's phone, the note locks with a PDF, and at the end of each month one draft invoice per client goes into the accounting software.

Birun Print & Sign's Shopify store has product configurators with live pricing and file upload, and since it went live on 28 August 2026 every order has gone to the print partner without anyone forwarding it by hand. For Glomacs and AZTech, two international training organisations, the weekly deliveries across Europe have run from our own order and proof-of-delivery app since October 2026.