Interview: The Path to Secure Enterprise AI

Artificial Intelligence in the Enterprise: Control Instead of Compromise

Artificial intelligence is fundamentally transforming the workplace. While public AI tools like Chat GPT are already widely used, companies face a critical question: how can the full potential of AI be leveraged without sacrificing data protection, security, and control?

The answer is Private AI — individually developed, modular AI solutions tailored specifically to business needs.

‍

Your data. Your rules. Your future.

In the current interview series, Ivan Carlesso (Regional Sales Manager at Fsas Technologies) speaks with Patrick Wyss (Founder and CEO of BWO Systems AG) about the successful implementation of Private AI projects.

The conversations provide practical insights into how companies can build their own AI — from initial workshops and proof of concept to full production integration.

🔗 Access the full AI interview series here

Watch the video “Private AI – The Path to Secure Enterprise AI” now:

‍

Why Private AI is a key building block of secure digitalization

• ‍Full data control without compromise: With the modular AI solutions from BWO Systems AG, all data remains within the company. No external cloud services are used, ensuring that sensitive information is protected at all times. Companies decide which data is used and retain full control over all processes.

‍

• ‍Tailored AI through local training: Private AI is specifically aligned with company processes, languages, and requirements. Through local training, the system continuously improves and adapts flexibly to new tasks. The result: AI solutions that don’t just work, but deliver real business value.

‍

• ‍Maximum security and compliance standards: The solutions meet strict requirements such as GDPR and other international standards. Modern encryption technologies provide additional protection even against future threats. Transparent settings ensure full traceability and control at all times.

‍

The structured path to your own AI

In the interviews, Patrick Wyss explains the proven process for successfully implementing Private AI:‍

1. ‍AI Workshop
   Concrete use cases are identified together. The goal is to make optimization potential visible and define meaningful applications.
   ‍
2. ‍Proof of Concept
   In this phase, AI approaches are tested and, if needed, custom models are trained. This quickly demonstrates the value of Private AI in a business context.
   ‍
3. ‍Implementation
   The developed solution is integrated into existing systems, enabling seamless adoption with fast, measurable ROI.

‍

Key topics from the interview series

• How AI is transforming daily work in companies
  ‍
• Differences between public and private AI
  ‍
• The journey from idea to productive solution
  ‍
• Custom training with company data
  ‍
• Hardware requirements and scalable AI platforms

‍

Conclusion: The journey to your own AI starts no

The AI video series clearly demonstrates how companies can use artificial intelligence securely, in a controlled manner, and with real economic value — from the initial idea to a fully operational solution.

‍

Interested in our Private AI solutions?
‍
Would you like a consultation or to start directly with an AI workshop? Get in touch with us. Together, we’ll find the right entry point into your Private AI strategy.

‍