<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>AI Readiness on Cognaptus</title>
    <link>https://cognaptus.com/tags/ai-readiness/</link>
    <description>Recent content in AI Readiness on Cognaptus</description>
    <generator>Hugo -- 0.145.0</generator>
    <language>en-us</language>
    <lastBuildDate>Sun, 22 Mar 2026 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://cognaptus.com/tags/ai-readiness/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>When Accuracy Lies: From Smart Models to Ready Teams</title>
      <link>https://cognaptus.com/blog/2026-03-22-when-accuracy-lies-from-smart-models-to-ready-teams/</link>
      <pubDate>Sun, 22 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-22-when-accuracy-lies-from-smart-models-to-ready-teams/</guid>
      <description>A practical reading of why model accuracy, trust surveys, and explanation interfaces are weak substitutes for measuring whether human–AI teams are actually ready to work safely.</description>
    </item>
  </channel>
</rss>
