Projekte
Case Studies
Ausgelieferte KI-Automatisierungs-Projekte für DACH-Unternehmen. Problem, Lösung, Metriken, Links zum Code.
Shipped AI automation projects for DACH companies. Problem, solution, metrics, links to the code.

▶︎ 0:47 Governed context workflow
September 5, 2026 · 14 min read
Case study: a context layer for AI agents on a temporal knowledge graph. Sourced answers from chat, tickets, wiki and CRM, external actions authorized before execution.

▶︎ 1:09 live console demo inside
May 21, 2026 · 4 min read
GPU-backed self-hosted voice AI on Dograh: local STT, LLM, TTS in EU infra or client VPC. Measured warm latencies, structured outcome writeback.

April 23, 2026 · 5 min read
HubSpot-native AI layer that scores every contact on ICP fit, ranks the pipeline by expected revenue, and prescribes a specific next action with a written reasoning trace — all as first-class HubSpot properties, no tool switching.

April 22, 2026 · 4 min read
Transformation portfolio platform with AI-scored initiatives, capability-maturity radar, and investment recommendations. Replaces steering-committee spreadsheets with continuous prioritization across business value, complexity, maturity, and ROI.

▶︎ 1:43 live console demo inside
April 21, 2026 · 6 min read
Self-hosted German PII redactor for SAP prod→dev copies. Plugs in after TDMS/Delphix/Informatica to cover free-text NOTES columns, unclassified Z-tables, and OCR'd attachments. DSGVO-konform, Apache 2.0, runs on a single consumer GPU.
The context layer for your AI agents
Your agents answer from whatever the retriever finds, and too often that is last quarter's truth. I build the context layer they answer and act from: a temporal knowledge graph that keeps every fact with its source and the time it held, reads with each person's own permissions, and writes nothing without a person's approval. On your own tenant, billed by the hour, step by step.