At Monitoris, we use artificial intelligence selectively where it reduces administrative effort, prevents errors, and simplifies processes. Transparency about how and for what purpose AI is used is a core principle for us.
1. How we use AI
At Monitoris, AI is used in particular to support:
- the processing and analysis of documents such as receipts and invoices
- the structured capture of information
- assistance within the digital back office
- the automation of recurring administrative tasks
AI always serves as a support system and does not replace legal, tax, or entrepreneurial responsibility.
2. AI technologies used
Monitoris uses modern AI technologies, including:
- large language models (LLMs) for text and document processing
- generative AI components for the structured preparation of information
- depending on the function, additional technologies such as OCR or speech-to-text systems
The models are used as integrated components of our application and are not operated as standalone products.
3. Origin and operation of the models
Depending on the use case, Monitoris uses: established commercial models from external providers, or selected open-source models The operation takes place on secure infrastructures. Hosting may be located in Switzerland, the European Union, or, depending on the service used, in third countries. In all cases, we ensure compliance with data protection and security requirements through appropriate contractual and technical safeguards.
4. No training with customer data
A core principle at Monitoris is: We do not train AI models with customer data. User inputs, documents, and content are processed solely for the purpose of providing the respective functionality and are not used for model training or further development unless explicitly stated otherwise.
5. Control instead of a black box
We do not adapt the behavior of AI systems through uncontrolled training. Instead, we rely on:
- clear system and usage guidelines
- structured prompts and rules
- context-aware processing
- technical protection mechanisms
This ensures that AI outputs remain transparent, controllable, and purpose-driven.
6. Responsibility and limitations
AI systems can make mistakes. Therefore:
- AI-generated results do not replace professional review
- users remain responsible for decisions
- critical processes are deliberately limited or safeguarded
Monitoris uses AI responsibly and continuously evolves its application with a strong focus on security, data protection, and real added value.