The #1 question to reduce AI costs

High AI costs are often driven by fragmented data that forces models to expend excessive tokens trying to interpret missing business context. Implementing a semantic layer provides a standardized foundation of truth, which reduces operational expenses, preserves institutional knowledge, and enables more efficient scaling of AI initiatives.