Flagship · Sovereign AI
Sovereign AI & Automation
Controllable AI systems instead of vendor lock-in – clearly planned, securely delivered.
What it's about
AI is more than tool usage
Opening a chat window is easy. The hard part is embedding AI into business-critical processes so it stays reliable, secure and controllable. That's where I come in – not at the hype, but at the architecture.
Why control matters
Sovereignty means keeping control
Anyone deploying AI seriously potentially hands over data, knowledge and process logic. Without a clear architecture, vendor dependencies, opaque data flows and hard-to-control results emerge. Sovereign AI means keeping control over data, models, processes and vendor dependencies.
Building blocks
How the pieces fit together
RAG systems
AI that works on your own, curated knowledge.
Agent workflows
Structured, traceable automation instead of a black box.
Local / sovereign AI
Run models where the data needs to stay.
Open-source stacks
Independence from individual vendors.
Human-in-the-loop
People remain the authority at the critical points.
AI governance
Technical and organisational guardrails.
Collaboration
How I support you
I advise, conceive and design architectures – from use-case assessment through RAG and agent architectures and make-or-buy decisions to governance and data-protection concepts. I evaluate vendor dependencies and map the path from proof-of-concept to a productive, auditable system. You or your partners run operations.
Framed as freelance work: advisory, architecture and conception. I design and assess AI systems – I don't operate them.
Have your AI plans assessed.
Let's clarify which AI step is genuinely sensible and controllable for you.