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Many companies lose hours every day to manual, repetitive cases: triaging enquiries, assigning them, replying, filing. We automate exactly these workflows, where it pays off. When there is a concrete need, we deploy an AI-supported automation platform that we operate for you and configure to your cases. The principle stays the same: the AI proposes, a human approves.
Not every workflow should be automated, but the same high-frequency ones should: the mailbox that receives offer enquiries, support tickets, incoming invoices, and orders every day, all sorted, answered, and filed by hand. This kind of business-process automation not only saves time, it also ensures nothing is left lying around and every case stays traceable.
We first look at the numbers with you: which cases arrive in what volume, how much time they consume, and where the workflow is clear enough for reliable automation. From this comes an honest prioritisation by effort and return, instead of an oversized automation project.
For every incoming item it is reliably detected whether a new case begins or something belongs to an existing one, and which case type it is (enquiry, support, invoice ...).
The AI reads the content, classifies it, and extracts the relevant fields so the case can proceed in a structured way.
A reply draft lands in the normal drafts folder. A human reviews, adjusts, and sends. Nothing goes out unchecked.
The case is filed cleanly and closed. A live monitor shows within seconds which case is in which step and why the AI decided the way it did.
The AI prepares and proposes, the approval stays with your staff. You automate the heavy lifting without giving up control.
Every step is visible and explained. You see why a case was classified the way it was, instead of an opaque automation.
We set up the automation in a data-protection-compliant way, operated in the EU, with clear rules on which data is processed how.
For us, process automation is not an off-the-shelf product but a service along your concrete need. We bring the right AI-supported platform, connect it to your systems, such as your Microsoft 365 mailboxes, and configure the case types to your workflows. We handle operation, maintenance, and further development; you keep the approval and the overview.
This delivery strength is our core: we do not only apply AI at clients, we have built and launched several of our own software products with the same methods. Process automation also pairs naturally with our AI transformation and our lean management and process optimisation: first make the process lean, then automate the recurring part.
Tell us your most time-consuming recurring workflow. We will honestly say whether and how automation pays off.
Have further questions? Feel free to contact us directly via our contact form or by e-mail.
Process automation means having software handle recurring business cases instead of processing them by hand every time. We rely on AI support with a clear human approval: the AI detects, classifies, and drafts, an employee reviews and approves.
Above all high-frequency, uniform workflows, such as processing incoming e-mails and cases in the mailbox: offer enquiries, support, incoming invoices and orders. We prioritise together by volume, time spent, and clarity of the workflow, so that automation truly pays off.
No. The AI prepares and proposes, the approval always stays with your staff. Every reply draft lands in the drafts folder for review, and a live monitor shows traceably which case is in which step and why the AI decided the way it did.
A service. When there is a concrete need, we bring a suitable AI-supported automation platform, connect it to your systems such as Microsoft 365, and configure it to your cases. We handle operation and further development; you keep the approval and the overview.
We set up the automation in a GDPR-compliant way, operated in the EU, and clearly define which data is processed how. Data sovereignty and traceable decisions are a firm part of our approach.
With a first conversation about your most time-consuming recurring workflow. That becomes a short analysis: volume, time spent, and clarity of the process. If the case is suitable, we set up the automation for exactly that case type and only then expand step by step, instead of starting with a mega project.
It depends on the case type and the integration, which is why we quote a concrete range after the analysis instead of a flat rate. Rule of thumb: entry pays off when a case type occurs daily and binds several minutes of manual work per case. In the first conversation we calculate this honestly with you, even if the result is that it does not pay off yet.