Our AI process automation is for companies that want to grow faster than their processes allow today. We automate entire workflows: checking and routing what comes in, creating settlements, reconciling data between systems and flagging deviations. With process automation, AI agents handle the routine and your team decides where it matters.
“Before automating anything, we want to understand how your team works today. That's where you find it: the ‘quick manual step’ that quietly eats three hours a week. We start there.”
Elena
Lead Analytics & AI SolutionsWe start with the process, not the tool: first understand it, then digitalise it, then automate it.
We watch the work live on your team's screens and map the process step by step, for example where documents are sorted and typed in by hand. The analysis shows which processes you can automate and how to get to digital process automation. Sometimes it also shows that automation is not worth it, and we will tell you. You get a process map that ranks the steps by effort and volume, and a target automation rate.
AI co-pilots and automations take over repeating steps, such as drafting credit notes or matching incoming documents. We build the workflows in n8n or Python, with separate test and production environments and a test suite of real edge cases that has to pass before every release. Whatever the automation cannot recognise with confidence goes back to the existing manual route. You get working automations or co-pilots with a review step for your team.
AI agents read, sort and match documents and upload the data once your team has approved it. At the start a person checks every result. That is how we calibrate the confidence and then automate more step by step. You get agents in production with an approval step, so your people release what the agents prepare. That is how we build AI agents for companies that take routine work off their team.
Every case records what the agent did and why.
Three clients, three manual processes that now run on their own.
Order and cost data from every source flow into a warehouse and credit-note app. Credit notes are drafted automatically, Finance reviews, EasyBill pays out.
AI agents read, sort and match incoming faxes and emails, so the team only checks the unclear cases.
Data flows in automatically and the Monday report builds itself, instead of a weekly manual update.
Does any of this sound familiar? Then a conversation about automating your processes is worth it.
Every incoming invoice is copied into a form by hand, hundreds a day for some teams.
Every fax, scan and email arrives in one place and a person opens each one. Nothing is prioritised early.
Revenue is split per platform by hand and bonuses sit in different systems. The process is slow, error-prone and does not scale.
Numbers live in spreadsheets that someone updates by hand once a week.
Skilled people spend their day moving data from one tool into the next.
The document system's built-in AI didn't manage it, and now trust is gone.
We work hands-on and results-driven, in four steps.
We spend 30 to 60 minutes on your challenges and on the work that eats your team's time.
We sit with the team, watch the work live and bring the process map back for sign-off.
We start with the case that has the most volume and then expand. A person reviews before anything is finalised.
It first goes to a test environment, your team tests it, then it goes live. Your team stays in control.
We work with these tools, among others. Which ones fit depends on your setup.

70+ successful projects in six years, a senior team of 20 based in Berlin.
Book a free discovery call: 30 to 60 minutes, focused on your challenges.