The risks of AI in business, in Switzerland
AI creates value, but it carries real risks: errors, data leaks, dependency, lack of traceability. We help you manage them on the technical and operational side.
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The real risks, and how we handle them
No panic, just concrete safeguards.
Errors and hallucinations
Models can be wrong. We add validations, checks and clear limits to prevent things from going off the rails.
Data security
We work on European infrastructure, without sending your data to third-party APIs, to reduce the risk surface.
Traceability
Every automated action is logged and auditable, so you know who did what and when.
Managed dependency
Open source models and portable architecture: no lock-in to a single vendor.
Reduce risk by staying in control
The first risk is losing control of your data. We prevent that by design.
European hosting
Infrastructure in Europe (Hetzner), no US cloud.
Protected data
Your data is not used to train third-party models.
Auditable actions
Full logging of automated processing.
Frequently asked questions
What are the main risks of AI in business?
Model errors and hallucinations, data leaks, vendor dependency, and lack of traceability. We address each one with technical and operational safeguards.
How do you prevent an AI from making bad decisions?
By keeping a human in the loop at sensitive points, limiting the AI's scope of action and validating its outputs. Autonomy is built gradually, under control.
Do you handle legal and compliance risks?
On the technical and operational side, yes. For the legal and regulatory side (LPD/nLPD, AI Act), we work with your counsel; we do not give legal advice.
Is my data at risk with AI?
It is if it passes through third-party APIs. That is why we work on European infrastructure with open source models, with no reuse of your data.
Deploy AI with no nasty surprises
Let's talk about your concerns and your context. We put the right safeguards in place.