Why Enterprise AI ROI Is An Architecture Problem

Enterprise AI investments often fail to deliver ROI due to fragmented architectures that increase costs and complicate measurement. Centralizing context and governance in a shared layer can reduce deployment costs and improve economic outcomes for AI workflows.