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    <title>Government Contracting on k4i.com</title>
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    <description>Recent content in Government Contracting on k4i.com</description>
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      <title>Buy, Build, or Let the Vendor Decide: How Federal Agencies Are Approaching AI Acquisition</title>
      <link>https://k4i.com/buy-build-or-let-the-vendor-decide-how-federal-agencies-are-approaching-ai-acquisition/</link>
      <pubDate>Mon, 13 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://k4i.com/buy-build-or-let-the-vendor-decide-how-federal-agencies-are-approaching-ai-acquisition/</guid>
      <description>&lt;p&gt;One of the more useful contributions of GAO&amp;rsquo;s April 2026 AI acquisitions report (GAO-26-107859) is its taxonomy of the different procurement approaches federal agencies are actually using—not as a policy prescription, but as an empirical account of what agencies have tried, what trade-offs they&amp;rsquo;ve encountered, and where each approach leaves agencies exposed.&lt;/p&gt;&#xA;&lt;p&gt;&lt;strong&gt;Agency-Directed vs. Vendor-Driven&lt;/strong&gt;&lt;/p&gt;&#xA;&lt;p&gt;Some agencies began with a defined requirement and went out to acquire a solution. Others found vendors presenting AI capabilities to them that didn&amp;rsquo;t correspond to any existing requirement—and accepting those offerings anyway. GSA acquired a facility management software platform that included a chatbot feature the vendor added as a bonus, not in response to any stated requirement. VA awarded a task order for medical software that arrived with embedded AI capabilities.&lt;/p&gt;</description>
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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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      <title>Six Ways Federal Agencies Keep Getting AI Procurement Wrong</title>
      <link>https://k4i.com/six-ways-federal-agencies-keep-getting-ai-procurement-wrong/</link>
      <pubDate>Mon, 13 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://k4i.com/six-ways-federal-agencies-keep-getting-ai-procurement-wrong/</guid>
      <description>&lt;p&gt;The GAO&amp;rsquo;s April 2026 report on federal AI acquisitions (GAO-26-107859) is valuable not just for its top-line findings but for the taxonomy it provides of where government AI procurement consistently breaks down. Based on interviews with officials at DOD, DHS, GSA, VA, and the Department of Commerce, the report identifies six challenge areas—three strategic and three programmatic—that recurred across agencies regardless of the specific AI capability being acquired.&lt;/p&gt;&#xA;&lt;p&gt;&lt;strong&gt;Access to Subject Matter Experts&lt;/strong&gt;&lt;/p&gt;</description>
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