Why Enterprise AI ROI Is An Architecture Problem
Forbes
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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.
