Processing documents automatically
Invoices, contracts and forms turned into structured data in your own system, with a check on every field.
How we pick the right modelWe build AI into your existing software and processes: documents that process themselves, an assistant that knows your own knowledge, and links to your ERP or CRM. Started small, measured on your own data, with a person who keeps the final say.
AI integration means an AI model takes over one well-defined task inside the software your business already uses, such as reading documents or answering questions from your own knowledge. The model works on your data, delivers its result into your existing systems and passes doubtful cases on to a colleague.
Tested on real documents and questions from your business, not on a demo.
No extra platform to learn. The result lands where your team already works.
When in doubt, a person decides. That keeps a mistake the exception.
Five kinds of work we build most often. Each one starts with a single task, not a big AI project.
Invoices, contracts and forms turned into structured data in your own system, with a check on every field.
How we pick the right modelAnswers from your manuals, procedures and files, each with a reference to the source so you can check it.
One well-defined task per agent, with clear limits on what it may do and when it calls in a person.
Why we keep agents smallYour ERP, CRM or accounting connected to an AI model through APIs and MCP, so it works with real data.
What MCP actually solvesFixed, tested ways of working your team uses in Claude and other assistants, instead of prompting from scratch each time.
What an AI skill isTogether we find one task where AI measurably saves time or mistakes, instead of a vague AI project.
A test set of real documents and questions tells us up front what good enough means, and whether the model gets there.
Large where it must, small where it can. That keeps costs low and answers fast.
In your existing tools, with logging and a person for doubtful cases. After launch we keep measuring.
Buyers and auditors already ask how your AI system makes decisions. That is why we build every integration so you can show it.
Read what the AI Act asksWhat the model received, what it answered and who changed it, if anyone did.
Doubtful cases go to a colleague instead of silently passing through.
We agree up front which model processes your data and where that happens.
That depends on the task. After a short exploration you get a fixed price for a first version, which you can judge on your own data before investing further.
Not necessarily. We choose the model per task and agree up front where your data is processed, with European or self-hosted options where needed.
Usually, yes. We connect through APIs to your ERP, CRM or document management. If a system has no API, we find another safe way together.
We work in short, visible steps. You usually see a first version running on your own documents or questions within a few weeks.
We design for that. Doubtful cases go to a person, and every decision is logged, so you can check afterwards what happened and why.
A few sentences are enough. We reply within two working days.