Kernmoment · Services · 04
AI Product Development for architecture practices
When the tool does not exist yet: we develop it for your practice – from the idea to daily use
04 · AI Products
The starting point
What it is about
- “There is no tool for our task – or only one that does not suit us.”
- “We have an idea, but we do not know whether it is technically worthwhile.”
- “How do we test an AI solution before we rely on it?”
Not every task in an architecture practice has a ready-made tool. Some workflows are too specific, some data too particular, some requirements too new. Then the task is left undone – or it is done with a tool that does not fit.
We develop AI applications for architecture practices: together with you we clarify whether a solution of your own is worthwhile, build a prototype, try it out on your projects and bring it into daily use – step by step, with you.
In detail
What AI Product Development covers
- 01
Product discovery
Finding the right problem: which task is worth its own solution?
- 02
Prototype & MVP
A first version that your team tries out on real projects.
- 03
Developing your AI application
Several AI models, checks based on regulations, results with sources – built for your workflows.
- 04
Roll-out & further development
Use in the practice, feedback, next version.
Our approach
How we go about it
- 01
Discovery
We clarify the task, the users in the practice and the result that should come out at the end – and check whether an existing tool might be enough after all.
- 02
Prototype
A first version in a short time, which your team tries out on a real project. What works stays; what does not, goes.
- 03
Development
We build the application according to our principles: checks based on regulations, several AI models, every result with its source, your practice decides.
- 04
Roll-out
Use in the practice, training, feedback – and Managed AI, so the application stays up to date.
What your practice gains
- A tool for exactly the task that no standard product covers
- Your practice decides what it should do – and keeps control of its data
- Accompanied from the first version to daily use
In the work stages
Where this service comes in on your projects
- LPH 3 · Design planningAI in design planningMore time for the design – and fewer surprises in areas and costs.
- LPH 4 · Permit planningAI in permit planningAn application that has been checked before submission.
- LPH 5 · Detailed designAI in detailed designFind errors in the drawing set before they become expensive on site.
Why Kernmoment
From within architecture, not from outside
We develop AI software and know architecture from the inside. That is why we do not build features, but tools for work stages, standards and projects.