Exploring the intersection of finance and technology. 5 articles
In finance, weak retrieval, fragile document automation, and low trust usually start long before model choice. The real bottleneck is structure, metadata, validation, and traceability.
Most founders fail not from lack of ideas, but from a mismatch between their profile and their business model. Here is how I built a tool to address that.
How I built a local-first, zero-tracking XRechnung 3.0 tool for DACH founders — compliant with EN 16931 and KoSIT v3.0, with no backend, no database, and no vendor lock-in.
An in-depth guide to ML in German accounting — document AI, anomaly detection, forecasting, and GoBD compliance with reproducible, audit-ready examples.
A research-driven exploration of how ML can augment accounting — from invoice intelligence to anomaly screening — with governance, explainability, and audit-ready design.