Blog

Content designed for fast indexing: concrete use-cases, impact measurement and production best practices.

PoC vs MVP for AI: the right outcome and how to measure impact

A PoC proves technical feasibility. An MVP must run inside a real process. How to set goals, baseline and leadership reporting.

AI governance for management: roles, access and audit before scaling

A lightweight governance model that helps leadership reduce risk, measure impact and scale AI safely.

AI pilot on Azure: a reference architecture for fast and safe delivery

A practical architecture blueprint for an AI pilot that can be hardened into production: security, logging, evaluation and cost control.

RAG in a company: when it makes sense and what to watch for

RAG can be the fastest path to useful internal AI—if you control sources, permissions and evaluation.

Invoice extraction with AI: the most common failures (and how to prevent them)

OCR + extraction fails in predictable ways. Design exceptions, validations and quality reporting from day one.