Abstract: Data warehousing solutions utilize lengthy and complex SQL instructions. These SQL instructions are difficult to parse and understand underlying logic/transformations performed. Conventionally, extensive analysis, time and effort needs to be spent to understand such SQL instructions and detect any data abnormalities in the SQL instructions. This technical challenge is exacerbated in high-volume production systems that include multiple systems that each utilize their own sets of SQL instructions. Apparatus and methods described herein take as input a natural language inquiry received from a user. The system attempts to parse the natural language inquiry to identify one or more relevant SQL instructions. Apparatus and methods may utilize AI and natural language processing to locate relevant SQL instructions, deconstruct them into subqueries and map a logical operational flow. Based on the mapped logic flow, a natural language response may be formulated to the user inquiry.