Frugal Scientific explores the future of data engineering with AI-Ready standards, emphasizing responsible innovation. In the world of industrial operations, a "guess" is a liability. Whether you are managing a global supply chain or a high-precision manufacturing floor, the margin for error is razor-thin. Yet, for years, many organizations have treated AI data extraction as a game of probability—hoping the model "gets it right" from a PDF or a sensor log. To move from experi