AI automation and data analysis
We use AI where it brings a clear gain: assistants that answer from your company's documents, data extracted automatically from paperwork, and reports that show what is happening in the business.
- Supplier
- Tax ID
- Date
- Total
Entered straight into the accounting software
What an AI solution means for a company
An AI solution uses a language model for tasks that need reading and understanding: answers from the company's documents, data pulled from invoices and delivery notes, summaries and reports. We use it where it brings a clear gain, not everywhere.
We start with a test on your data, so you see what it can do before a larger investment. Where the result must be exact, the application asks for a human check before the data goes further.
When you need this
- Your team loses time searching documents and emails.
- Data from invoices, orders or delivery notes is copied by hand.
- You have plenty of data, but decisions are made on instinct.
- You want to know whether AI can help before you invest.
What we build
AI assistants
Assistants that answer staff or customers from your company's documents and data.
Data from documents
Invoices, orders and delivery notes read automatically and entered into your software.
Reports and dashboards
Your company's key figures, updated automatically, on one screen.
A test before you invest
We check on your own data whether an AI solution works, before full development.
How we work
Each stage in detail- Analysis
- Prototype
- Development
- Launch and support
What affects cost and time
The price of a project is, roughly, the working time. These make it larger or smaller.
- How tidy the data is
- Clear, consistent documents give good results sooner than mixed files.
- How exact it must be
- Where a mistake is costly, it needs a human check and more testing.
- Where the data lives
- Sensitive data may need a model hosted in the European Union or strict access rules.
- The first test
- A small test shows whether it is worth building further, before the full cost.
Frequently asked questions
Does our company's data go to third parties?
We decide together where the AI model runs and what data it receives. Sensitive data can be anonymised first.
How reliable are AI answers?
AI can make mistakes, so we use it where a person checks the result or where an error is easy to correct. We test on real examples before launch.
Do we need a lot of data?
Not always. For assistants and data extraction, the documents you already have are enough.
Do you use ChatGPT?
We choose the model per project: by how well it does the task, what it costs and where the data must stay. We do not tie your company to one vendor.
How do we find out if it is worth it?
With a test on a few dozen real documents or questions. You see the results, how often it is wrong and how much time it saves, then decide.
Related services
Have an idea? Let's talk.
Tell us what you want to build. We'll come back with the right questions, then a quote.