Enterprise AI projects frequently stall after demos because AI systems lack access to the full business context needed to operate reliably in production. The core problem is not model quality but the inability to retrieve fresh, unified data across fragmented enterprise systems in real time. As agentic workflows grow more
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Why context matters more than the modelThe enterprise data gapHow enterprise AI systems operate across stepsWhat makes a responsive context layerBuilding enterprise AI on a real time data foundationSort: