Senior IT-Manager & Interim Leader · AI Governance & Agentic AI Operating Models · Enterprise Architecture in regulated environments (BaFin/DORA)
I've spent 20+ years building, leading, and orchestrating IT in regulated and critical environments — from greenfield corporate IT (Tönnies Group, 0→7 plants) through enterprise architecture, security and governance responsibility at a BaFin-regulated financial institution (Daimler Mobility AG), to platform governance with production AI agent pipelines (SMA Solar Technology).
Today I help organizations make AI agents governable: operating models, risk & control structures (EU AI Act, DORA), and the engineering patterns to match. The repositories below are working artifacts of that practice — one thread runs through all of them: verification instead of trust.
- agentic-ai-governance-toolkit — how agents become governable: lifecycle models, risk scoring, EU AI Act & DORA checklists, and a working evaluator
- rag-approval-blueprint — how AI systems get approved: approval file, control catalogue with test procedures, deletion evidence, and a worked approval run (DORA/MaRisk)
- platform-decision-kit — how platform decisions get made: a triage & discovery instrument for brownfield systems — claims tagged as hypotheses, deliberately no recommendation. Try it in the browser — runs fully local.
- awesome-ai-governance — a curated list of regulations, standards, risk frameworks, and tools for governing AI systems
- local-agent-pipeline — a minimal, fully local multi-agent pipeline where auditability and human oversight are first-class features
- kickoff-ai — a reference setup for agentic development environments: staged installation, 41 verification checks, tool registry with sunset window
- razbiram-nlp — Bulgarian NLP enrichment engine with golden-set evaluated LLM prompts, powering razbiram.com
🌐 leon-koellerwirth.com · 🧰 Tools & working artifacts · 💼 LinkedIn