Secure AI integration for companies handling sensitive data
KIKS Systems integrates AI into business processes for larger organisations, with clearly defined permissions and complete logging. Systems are designed so that data does not leave the EU. Implementations are built in line with GDPR principles; the specific compliance requirements and assured data location are assessed for each project and documented contractually.
Member of the Software Internet Cluster Carinthia
The principle
The AI is never given open-ended access. Every action it may perform is enabled individually in advance. Emails are created as drafts only, and documents are saved only after human review. Everything else is technically unavailable — not merely prohibited by policy.
The system records which data was read, what action was taken and on what basis. You can show at any time what the AI did and why — to management, data protection officers or auditors.
Systems are designed so that data does not leave the EU: either on-premise on your own infrastructure or in an EU cloud using European providers and models such as Mistral. Data flows, participating services and the assured data location are documented and agreed for each project.
Already using AI?
Many companies have introduced AI but no longer have anyone keeping the system reliable and current. I take over live systems — including systems built by other providers — fix issues, improve them and keep them up to date.
GDPR & EU AI Act
Business AI systems operate within a legal framework: the GDPR requires accountability for the processing of personal data, while the EU AI Act introduces graduated transparency and documentation duties. The technical foundations for meeting those duties are part of the architecture. Whether a specific solution meets the applicable legal requirements is assessed for each project; technical and contractual assurances are documented in writing. Transparency and labelling under Article 50 of the EU AI Act, applicable from 2 August 2026, are considered in the system architecture: AI interactions and AI-generated content are identified as such.
The system receives access only to the data the specific process requires. Access is defined and documented before implementation, not restricted as an afterthought.
Logging provides a basis for your records of processing activities and internal audits. You can trace which data the system used and for what purpose.
Data flows, storage locations and participating providers are set out in writing before the project starts. This provides a sound basis for data processing agreements.
Before implementation, the use case is assessed to identify its risk category and resulting obligations. High-risk applications are undertaken only after a separate assessment.
Fit
Who is behind KIKS
KIKS Systems is the business of Karl Constantin Schulmeister in Klagenfurt, Austria. From the first conversation through ongoing operations, you work with the same person who designed and built your system and knows every component — without rotating project teams or knowledge lost at handovers.
About me
Karl Constantin Schulmeister
Owner, KIKS Systems · Klagenfurt
Next step
Describe the workflow you want AI to support and the data involved. I will give you a candid assessment of whether and how it can be implemented in a controlled way — including when the right answer is “do not automate”. For a structured, paid starting point, choose the Initial Analysis.