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      <title>Maven and USAi: What Mature Federal AI Acquisition Actually Looks Like</title>
      <link>https://k4i.com/maven-and-usai-what-mature-federal-ai-acquisition-actually-looks-like/</link>
      <pubDate>Mon, 13 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://k4i.com/maven-and-usai-what-mature-federal-ai-acquisition-actually-looks-like/</guid>
      <description>&lt;p&gt;Most of GAO&amp;rsquo;s April 2026 report on federal AI acquisitions (GAO-26-107859) documents failure modes—programs that didn&amp;rsquo;t document lessons learned, contracts that lacked AI-specific terms, programs retired without institutional postmortems. Two acquisitions stand apart as comparative benchmarks: DOD&amp;rsquo;s Maven program and GSA&amp;rsquo;s USAi platform. The report uses them to illustrate what AI acquisition looks like when agencies have had time to learn from their own mistakes.&lt;/p&gt;&#xA;&lt;p&gt;&lt;strong&gt;Maven&lt;/strong&gt;&lt;/p&gt;&#xA;&lt;p&gt;Project Maven is DOD&amp;rsquo;s longest-running high-profile AI acquisition. Managed by the National Geospatial-Intelligence Agency, it uses machine learning and computer vision to analyze geospatial imagery and identify potential targets for human assessment. It has had a complicated history—including a period of public controversy over its AI ethics implications—but from an acquisition standpoint it represents an accumulation of hard-won institutional knowledge.&lt;/p&gt;</description>
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