Language and text
Language models that understand and write text, such as ChatGPT, Claude and Gemini.
Example: drafts for emails and quotes, summarising long documents and translating between languages.
Artificial intelligence is not a magic word, but a tool. Used well it saves time, reduces mistakes and finally makes the work that keeps piling up manageable. Below you will find which AI systems suit a business, with concrete examples, and how we build them into your organisation safely.
The gain rarely lies in "AI" by itself, but in one concrete process that becomes faster or better: quotes ready in minutes, invoices that book themselves, customers who get an answer right away even outside office hours. Start small, measure the result, and only expand once it proves itself.
Just as important is what AI should not do. It does not make decisions about your customers or staff behind your back; a human stays in control. And your data remains yours, which we agree on clearly in advance.
A selection of the types of systems we deploy, with examples from practice.
Language models that understand and write text, such as ChatGPT, Claude and Gemini.
Example: drafts for emails and quotes, summarising long documents and translating between languages.
Smart assistants that answer based on your information, on the website or by email.
Example: a chat that handles frequently asked questions and sorts incoming emails to the right person.
Systems that pull information out of documents and write it into your own software.
Example: automatically reading invoices, receipts and forms and putting them into your bookkeeping or CRM.
AI that draws only from your own manuals, contracts and documents (retrieval, also known as RAG).
Example: staff find the right answer from hundreds of internal documents in seconds.
Models that recognise or generate images and sound, such as Whisper for speech.
Example: labelling and sorting product photos, transcribing meetings automatically, or generating visuals for marketing.
Recognising patterns in your data and automating routine work between systems.
Example: forecasting demand or stock, segmenting customers, or letting a task flow automatically from email to planning.
What AI looks like in concrete terms across different kinds of businesses.
Product descriptions in seconds, and a chat that answers questions about sizes, stock and delivery right away.
Incoming invoices and receipts are read automatically and prepared for the bookkeeping.
A large share of standard questions is handled instantly; complex ones go to a human.
Calls and meetings are transcribed automatically and summarised into action points.
Drafts for copy, newsletters and visuals are ready faster, in your own style.
Staff find policies, manuals and product info without endless searching.
We pick one process with clear gains and make the result measurable before expanding.
AI is built into the software you already use, such as your website, CRM or bookkeeping, not alongside it.
We agree in advance on where data is stored and what happens to it, in line with the GDPR.
AI makes suggestions and takes over routine work; the decisions remain with you and your people.
No. Smaller teams in particular benefit from automating recurring work. We start with one process that pays for itself quickly.
We agree in advance on where your data is stored and, where needed, choose solutions that run within the EU or locally, in line with the GDPR.
No. We build and maintain it; you simply use it in the software you already know.
That depends on the process. After a short intake you get a quote with a fixed price, just like our other services.
In a free intake call we look at one concrete process where AI immediately saves time or reduces mistakes. By phone or in person.