Services - AI implementation
Everyone is experimenting with AI. Little of it reaches production.
We develop the implementations that do - securely connected to your business data.
Public AI models know nothing about your organisation. We build the secure bridge between powerful language models and your internal data, so you get assistants that understand your business - without sensitive data ending up in someone else’s model.
- Internal chatbots and assistants on your own knowledge and data
- Document processing and automation of manual steps
- Decision support with verifiable answers
- A prioritised, realistic AI roadmap via the QuickScan
- AI-assisted coding, never pure vibe coding
The safe bridge
The model only sees what it needs.
Your data stays inside your own environment. Per question only what is needed goes across, and the answer points back to the line it was built from.
Our tech stack
Model-independent: Claude · GPT · open source - on your own infrastructure or in the EU cloud
Start here - AI QuickScan
Know in one session where AI helps your organisation - and where it doesn’t.
A focused scan of your processes. You receive a prioritised, realistic AI roadmap - no buzzwords.
1 session
with senior engineers
5+ use cases
scored on value & effort
1 roadmap
ready to execute
The trade-off
Where AI does and doesn’t work in an organisation
The work first, then the technology - we start on your work floor.
AI works where the work repeats and the outcome can be checked. In most organisations that is exactly where the most manual work sits - and therefore the most to gain. AI does not work with vague goals, missing or messy data, or decisions where a single mistake causes immediate damage without anyone checking.
We make that distinction up front, not after something has been built.
Where AI proves itself
- Reading and structuring documents
- Moving data between systems
- Answering questions based on your own knowledge
That is why every engagement starts with the AI QuickScan: one session in which we scan your processes and score the use cases on value and effort. The most promising one becomes a pilot on your own data, with quality criteria agreed in advance. So you know within weeks - not after months - whether AI can carry the work. If the pilot doesn’t meet the criteria, we scale back or stop; that is possible because every step is small and budget-controlled.
The market is hazy around AI terms, which leaves it unclear what you actually get. A language model predicts text and helps with writing and summarising. An assistant combines that with your knowledge and lets the human decide, so answers fit your work. An agent uses tools and repetition to complete tasks, for recurring work. AI is the umbrella: the word can mean anything and says nothing about what gets delivered. The distinction helps you choose between the tracks that follow.
What we do
One starting point, two tracks.
Every route starts with the AI QuickScan. From there we develop along two tracks - on the same foundations: secure access to your data, measurable quality and a human in the loop where it matters.
AI QuickScan
The starting point: one session on your work floor, and you receive a prioritised, realistic AI roadmap.
AI integration & document processing
AI safely inside your existing processes: document flows, automation of manual steps and decision support with verifiable answers.
AI assistants & agents
Assistants and agents on your own knowledge and data, carrying out tasks autonomously - within boundaries you define.
Rather get straight to it? Rik van Dijk, partner at eenvoud, will happily think along with you about where AI does and does not work in your organisation.
In practice
Letselinzicht B.V.
The new calculation standard for personal injury
Calculations that used to be specialist work in separate documents are now transparent, uniform and reproducible per file - as a product on the market.
View case →
Wijstemmer
Talking to the party manifesto itself
Ten days of building and eleven parties given a voice - the technology was not the problem, the name was.
View case →From idea to production
A working pilot in weeks.
No months-long projects up front: every phase delivers something you can steer on.
1 session
QuickScan
We scan your processes and score the opportunities on value and effort. You receive a roadmap.
week 1-4
Pilot on real data
The most promising use case becomes a working pilot on your own data - with measurable quality criteria, before anything goes live.
ongoing
Into production
What works goes live in a controlled way, connected to your systems. The same team monitors and keeps improving.
Frequently asked questions
What you want to know before you start.
Where do we start with AI in our organisation?
Not with the technology, but with the work. That is what the AI QuickScan is made for: in one session we scan your processes, score five or more use cases on value and effort and you receive a prioritised roadmap. That way you start with the challenge that pays off most right now - not with the model that happens to be in the news.
What does AI implementation cost?
That differs per challenge, data and systems. We work in small steps, from AI QuickScan and pilot to integrations and production. For every step you get a clear scope with a price up front, and afterwards you choose whether you continue. That way you keep a grip on pace and investment. After the first conversation you get a concrete estimate.
Do we need AI knowledge of our own to start?
No. You already know the work: the people who do the task now know where it often goes wrong, which exceptions there are and when an outcome is correct. We bring the model, integration and evaluation knowledge. During the project they supply examples, decision rules and feedback. Count on time for interviews, observation and testing, so we can sharpen things together.
What if AI does not deliver anything for us?
Then we say so. Sometimes the honest outcome of a QuickScan is that ordinary automation or a better workflow delivers more than AI - you hear that in the same session. And if a pilot does not meet the quality criteria agreed up front, we scale back or stop. Because the steps are small, you know that within weeks and without a large budget written off.
What about the AVG?
In broad terms: your data stays yours. We work model-independently and run on your own infrastructure or in the EU cloud where needed, with processing agreements that fit the AVG. Your data does not train other people’s models, and before every pilot we record which data is processed where. How that works out per document flow, you can read at AI integration & document processing.
Let’s talk
From experiment to production.
Curious where AI works for you - and where it doesn’t? We’re happy to think it through with you.