AI at AIMPL
How we use artificial intelligence and where we deliberately do not
Why AI?
For us, artificial intelligence is not an end in itself. It is a tool that is used exactly where it really makes a difference. Not every task needs AI; many can be solved just as well or even more reliably with classic process automation. We use AI where flexibility, language understanding or pattern recognition are required, in other words in areas where rigid rules reach their limits.
What AI can do today
Modern AI models can do far more than simple chatbots today. They can understand emails and customer inquiries and answer them meaningfully, automatically summarize and classify documents, recognize patterns in data that people easily overlook, and complete entire chains of tasks independently in connected systems instead of just supporting individual steps.
What we actually do
At AIMPL, every use of AI starts with the question: does this solve a real problem, or is it just technically impressive? Only when the answer is a clear 'yes' do we develop a tailored solution, from an AI assistant that pre-sorts customer inquiries to connected agent systems that coordinate several work steps on their own. Everything runs GDPR-compliant via Microsoft Azure, with data stored exclusively on servers in the EU.
What we deliberately leave out
Just as important as what we use is what we deliberately avoid:
- No use of your data for training AI models. Your information remains your information.
- No use of AI for its own sake. If a simple, classic automation is more reliable and cheaper, we recommend it rather than the supposedly more modern AI solution.
- No black-box decisions without control. For critical processes, it always remains traceable how and why the AI arrives at a result.