RAG Can't Count: Why Retrieval Fails on Regulated Data
RAG is brilliant at finding text and useless for the numbers a regulated business has to defend. Here is the line, and what works on the other side of it.
30 Jun 20265 min read

Why AI projects fail without good data, data pipelines, governance as AI prerequisite
RAG is brilliant at finding text and useless for the numbers a regulated business has to defend. Here is the line, and what works on the other side of it.
The industry default is to throw data at a model and hope for a reliable answer. The alternative is older and duller: deterministic processing over structured data, with AI doing only the parts it is genuinely good at.
Most stalled AI pilots do not have a model problem. They have a data problem. Here is what AI-ready data actually means, and how to build it.
Governed data products. Enterprise search as a byproduct. No six-month implementation.