Enterprise systems preserve what happened, but often lose why. This working note introduces the context gap and a Contextual Data Architecture approach to preserve evidence, judgment, authority, and outcomes.
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Most companies have AI tools but no AI lifecycle - no structured path from insight to decision to action. This article explains how a lifecycle orchestrator connects your AI capabilities into a coherent system for enterprise decision-making, governance, and institutional memory.
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How Christopher Alexander's design principles — strong centers, clear boundaries, roughness, and pattern languages — apply to building AI systems that endure.
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