One standard instead of five building sites
Via the Model Context Protocol (MCP) AI accesses your systems in a controlled way. Connected once, with no tie to any one AI provider.
AI & automation · AI where your data already is
We connect AI to your existing systems – ERP, CRM and DMS stay.
What happens here
AI where your data already is.
Your systems are connected, not replaced.
The red seal
People give the final approval.
First a measurable pilot at a binding price after the first consultation. We scale up when the numbers add up.
They fail because of data silos: ERP, CRM and filing do not know each other. Skip that, and you automate your data problems.
A rule-based sketch, locally in your browser. We draw the real map in the consultation.
Map the data flows, name the silos.
The most worthwhile data routes first, with logging.
One use case first, measured, then more.
Via the Model Context Protocol (MCP) AI accesses your systems in a controlled way. Connected once, with no tie to any one AI provider.
Contradictory data produces contradictory results. Often connecting two systems is enough – and if so, we tell you.
Non-critical data runs through cloud AI; HR and contract data through your own or EU infrastructure. We draw the line beforehand, and document it.
No – that is the core of the offer: AI and automation dock on to your existing setup. At most, what demonstrably holds you back gets replaced – and that would then be a deliberate, calculated decision, not a precondition.
Then we check the alternatives: automated export/import, a database connection, in an emergency robot-assisted operation. Sometimes the answer is also: we leave this one system out. What works and what does not we say before the quote.
We look at that first – AI only makes bad data bad faster. Duplicates, gaps and contradictions are named and fixed before AI works on them. Often this cleansing is the most valuable part of the project.
Yes, via a hybrid setup: sensitive material runs through components on your own or EU infrastructure, non-critical material through cloud AI. We define the boundary together and in writing – before the first data exchange.
An open standard through which AI assistants access several systems in a controlled way – instead of building an extra integration for each system. Most will need it only with their second AI use case; planned cleanly it saves real money from then on.
With the data flow map and one prioritised connection – not with everything at once. The mini configurator above gives a first idea; the real map we draw in the free consultation.
Free consultation at a fixed appointment – or a non-binding price range first.
Free consultation Request a quote
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