&lt;?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Insights | AIKvn</title><link>https://www.aikvn.com/insights/</link><description>Technical and strategic writing on enterprise AI readiness, diagnostics, RAG, and automation.</description><generator>Hugo</generator><atom:link href="https://www.aikvn.com/insights/index.xml" rel="self" type="application/rss+xml"/><item><title>Why AI initiatives fail before model selection even matters</title><link>https://www.aikvn.com/insights/why-ai-initiatives-fail-before-model-selection-even-matters/</link><guid>https://www.aikvn.com/insights/why-ai-initiatives-fail-before-model-selection-even-matters/</guid><pubDate>Thu, 23 Apr 2026 00:00:00 +0000</pubDate><description>A technical note on why internal knowledge and workflow readiness matter before model choice.</description></item><item><title>What RAG readiness actually means inside an enterprise</title><link>https://www.aikvn.com/insights/what-rag-readiness-actually-means-inside-an-enterprise/</link><guid>https://www.aikvn.com/insights/what-rag-readiness-actually-means-inside-an-enterprise/</guid><pubDate>Thu, 23 Apr 2026 00:00:00 +0000</pubDate><description>RAG readiness is less about adding a vector database and more about measuring whether enterprise knowledge is visible, current, and trustworthy.</description></item></channel></rss>