AI Querying Business Data: The Silent Wrong Answer Problem and the Semantic Layer Solution

As AI increasingly queries business data, a critical issue arises: the "silent wrong answer problem," where AI-generated data appears plausible but is fundamentally incorrect due to a lack of proper context and governance. This article advocates for the implementation of a semantic layer as a crucial middleware to ensure data accuracy, proper access control, and trustworthy AI outputs. It emphasizes that this layer, which defines business metrics and logic, is essential for preventing misleading information from influencing critical decisions.