AI where the work already happens
We build AI into your existing systems: into the CMS, the shop, the ERP or the ticket system. Without your team having to switch tools for it.
What this is about
Most AI initiatives do not fail on the technology, they fail on the switch. Anyone who has to open a second window for a suggestion, paste something in there and copy the result back will give up after two weeks. That is why we build the feature into the place where the work happens.
Anything that needs a second window nobody uses after two weeks.
Situations that typically bring clients to us
What we actually do
Built into the CMS
Suggestions for titles, descriptions and summaries directly in the editing window, following your own guidelines.
Built into shop and PIM
Producing product texts, category texts and translations where the item data is maintained anyway.
Connection to ERP and ticket system
Summaries, suggestions and classifications in the systems where your processes run.
Access to your own content
Connecting your documents and data holdings, so answers rest on your material instead of general knowledge.
Data protection and operation
We clarify which model runs where and which data it is allowed to see, in an environment inside the EU if you prefer.
Support after launch
We look at whether the feature is actually being used and improve it wherever it stalls.
How we work
The first use case decides whether AI takes hold in the company. Tell us which systems your team works with every day.
Let's connect 🚀More journeys
Three projects where AI was built into existing systems.

Deutsches Handwerksblatt
AI support directly in the CMS, where the editorial team works anyway, with daily publishing.

RHEWUM AI Cockpit
A central platform with secure access for all staff, instead of many isolated tools.

RHEWUM Automation
An automated process connected to the ERP that runs in the background without any extra effort.
Related services
Before anything is built in comes the question of what AI is worth doing at all. After that follow assistants, automation and the interfaces required.
Frequently asked questions
Anything that needs a second window nobody uses after two weeks. So AI belongs where the work already happens.
AI accounts in place, but nobody uses them?
Tell us which systems your team works with every day. We will tell you where building it in is worth it.





