In short
Many companies think of AI as something new that comes alongside: another tool, another login, another screen nobody looks at. That is rarely the best move.
Most of the gain sits in the software your people already open every day. An order portal, a planning tool, a case system, an intranet. Building AI features in there means nobody has to learn anything new.
Without a rebuild
An AI feature is in practice a new piece of logic behind an existing screen. We add a button or a field, build the logic behind it and connect it to your data. The rest of your application keeps running unchanged.
If your application runs with us, that work is limited because we know the code and the data structure. If it runs elsewhere, we first look at what access is possible and whether an API exists.
WHAT AI ADDS TO AN EXISTING APPLICATION
- Summarise. A long case file, an email thread or a series of reports reduced to what matters.
- Classify. Incoming items into the right category, with the right person, at the right priority.
- Search. A search field that works on meaning, not only on exact words.
- Suggest. A filled-in form, a draft text or a next step that your colleague only has to review.
- Explain. Why is this case flagged, why does this figure deviate. With a reference to the underlying data.
EXAMPLES FROM PRACTICE
- A case system where the handler gets a summary of everything that has already happened, before opening the file.
- A planning tool that shows the three most similar past interventions when a fault is reported.
- A portal where staff ask a question in plain language about the data in the system and get a table or chart back.
- An intake form that largely fills itself from an uploaded document.
- A quality module that flags deviating measurement results and suggests a possible cause.
Built in .NET, like the rest
We have developed in Microsoft technology since 1996. An AI feature is not a separate product to us but a component in the same codebase, with the same rules on version control, testing and hosting. That keeps maintenance predictable and keeps your application one whole.
For the language models themselves we work with the services of Anthropic and OpenAI. Which one we use depends on the task, on the data processing requirements and on your own preference.
YEARS OF .NET EXPERIENCE
PROJECTS DELIVERED
SUCCESSFUL ERP INTEGRATIONS
IN-HOUSE SPECIALISTS
What we set out up front
Where the feature ends. Does the AI suggest or execute? For anything with financial or legal consequences an approval step stays in place.
Which data it may see. Per role, just like the rest of your application.
What happens on doubt. A well-built feature says it does not know instead of inventing something.
How you follow it up. What was suggested, accepted, corrected. Without those numbers you will not know in six months whether it works.
When is it too early?
If your application itself can no longer keep up, or if the data inside it is unreliable, AI will not fix that. It makes it more visible. In that case renewing the application is the first step, and AI follows once the foundation is right. We would rather say that straight away than after three months. See how we build web applications.
Why companies choose IDcreation
- The Belgian Defence has been our largest client for over ten years. What meets those security requirements will hold up with you.
- No standard package you have to bend to, but software that follows the way you work.
- Our own hosting in Belgium, with monitoring, backups and a single point of contact.
- Since 1996 we have built in Microsoft technology. One strong foundation makes us fast and thorough.
