Practical AI Solutions & Intelligent Automation
No empty buzzwords, just genuine time savings: We integrate useful AI assistants and connect existing systems into automated workflows.
We analyse your daily manual routines and identify specific areas where AI and integrations immediately save time and costs.
- Current workflow assessment
- Review of data protection & feasibility
- Prioritised action plan with cost estimate
Connecting your existing software tools: automatically capture incoming emails, convert documents, sync appointments or transfer invoice data.
- API integration (Webhooks / REST APIs)
- Error handling and logging
- Data protection is considered right from the technical planning stage
A digital adviser on your website that answers client questions competently around the clock, explains services and pre-qualifies structured project enquiries.
- Trained on your company data & FAQs
- Secure restriction of response scope
- Responsive widget in matching corporate design
- Direct transfer to your email inbox
Tailored AI pipelines, internal knowledge bases for your team or automated text generation following strictly defined guidelines.
- Proprietary knowledge base (RAG / embeddings)
- High data security with opt-out from model training
- Seamless integration into your business operations
Swiss Data Protection (FADP) & Responsible Data Handling
The use of modern AI models requires diligence: Sensitive client data, confidential case files or practice information must never flow unchecked into public training datasets.
For AI projects, we review data flows, provider terms and suitable safeguards. Where possible, we use data-minimising configurations and encrypted interfaces and assess contractual exclusions of customer data from model training. We consider Swiss data-protection requirements during design and implementation.
AI & Automation
How does an AI project begin?
We start with the concrete workflow, available data and desired outcome. Only then can a suitable technical direction be assessed.
Can AI be connected to existing processes?
This depends on the existing systems, interfaces and permissions. These prerequisites are reviewed before implementation.
Are company data automatically used to train a model?
Handling, storage and technical processing are clarified for each project. Automatic processing without an agreed purpose is not assumed.