LLM integration services, without losing control

Where AI genuinely saves time

AI is good at work made of language: reading, sorting, summarising, writing a first draft. In a business that work is everywhere. The mailbox that swallows an hour every morning. The requests someone assesses and forwards. The documents that contain the answer, if anyone had time to search.

That is where AI pays. Sticking a chatbot on the website usually is not. The difference is the integration: AI connected to your systems and your data, inside the process where the hours sit.

Just as important is where AI must stop. Committing to a customer, approving a payment, any decision with consequences: a person signs there. We build it that way, and we record what the AI did, so you can account for it afterwards.

Running in production, at our place

We do not advise from the sidelines. Our own product TenderScan.nl runs AI search technology (RAG with reranking) that demonstrably finds more relevant public tenders than standard search. And through our workflow platform Supertaak, an AI-driven e-mail automation runs at a client, handling incoming mail every day with a person at the decision points.

What a project looks like

1. Where are the hours? We walk through your processes and find the places where language work costs time. We are based in Ede, the Netherlands, and work on site or remote.
2. Working proof. Not a slide deck but a trial on your own data, so you see what AI is worth in your situation.
3. Integration. The AI becomes part of your process: connected to your systems, with human decision points and a record of every run.
4. Measure and adjust. We track the quality of the outcomes and the cost per run, and adjust as models change.

What it costs

As an indication: an exploration with working proof starts from €1,000. After that you decide per step. We calculate the ongoing model costs up front; there too, we would rather give an honest "this pays" or "this does not" than an enthusiastic story.

For technical readers

If you build, or commission builds: this is the trade we live in. We build agentic workflows that are restartable, scalable and auditable, RAG pipelines with rerankers, and LLM integrations set up model-independently, no lock-in on a single provider. Our own platform in development is driven primarily via MCP (Model Context Protocol).

We write about it with positions and production experience: RAG implementation and rerankers, agentic workflows in production, integrating LLMs into existing applications and MCP server development.

Frequently asked questions

What does AI automation for business actually deliver?

Time, in the places where people currently read, sort or summarise text: handling incoming e-mail, searching documents, categorising requests, drafting first versions. We calculate with you up front where the hours sit; if AI delivers nothing there, we say so.

What does an LLM integration cost?

As an indication: an exploration with working proof on your own data starts from €1,000. After that you know what it is worth and decide on the next step. We calculate the ongoing model costs up front, so the meter never surprises you.

Can we not solve this with an AI subscription?

For individual employees doing individual tasks: yes, do that. An integration becomes worth it when AI has to run inside a business process: connected to your systems, with checks on the outcomes, and with a record of what happened. That is engineering, not a subscription.

What should you not leave to an LLM?

Decisions with consequences: committing to a customer, approving a payment, drawing a legal or medical conclusion. We build AI so it prepares and a person decides at the moments that matter. That is recorded too, so you can account for it afterwards.

Will we be locked into one AI vendor?

Not with us. We build model-independent: switching model or provider is a setting, not a rebuild. Models keep getting better and cheaper; you want to be able to take that gain.

To see this running in practice, read about our products on what we build.

Where do your hours disappear into language work?

Describe the process and we reply within two working days with an honest first assessment: promising or not.