1. Why data sources alone are not enough
Many AI initiatives fail not because of the model but because of fragmented data and missing approval paths.
Anyone who wants to use AI on their own enterprise data first has to clarify relevance, structure, and responsibility.
2. Which structure productive AI actually needs
A reliable data foundation is not only about sources but also about context, permissions, and traceable maintenance.
That turns scattered knowledge into a base on which company GPTs and use case apps can work productively.
3. How Data Ready becomes the starting point for company GPT
PRUVAGE therefore treats Data Ready as a buying-adjacent prerequisite, not as an isolated IT pre-project.
Wave 0 deliberately models these data and governance contracts before the visual build-out.
