<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	
	>
<channel>
	<title>
	Comments on: Google&#8217;s Generative AI Search Revolution: What Enterprise Software Companies Must Do Now	</title>
	<atom:link href="https://davidohnstad.net/googles-new-generative-ai-search/feed/" rel="self" type="application/rss+xml" />
	<link>https://davidohnstad.net/googles-new-generative-ai-search/</link>
	<description>AI &#38; Machine Learning in Enterprise Software &#124; Product Management</description>
	<lastBuildDate>Mon, 05 Oct 2026 17:25:00 +0000</lastBuildDate>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1.3</generator>
	<item>
		<title>
		By: AI Governance Theater: Why Dashboards Fail in Enterprise - David Ohnstad		</title>
		<link>https://davidohnstad.net/googles-new-generative-ai-search/#comment-942</link>

		<dc:creator><![CDATA[AI Governance Theater: Why Dashboards Fail in Enterprise - David Ohnstad]]></dc:creator>
		<pubDate>Mon, 05 Oct 2026 17:25:00 +0000</pubDate>
		<guid isPermaLink="false">https://davidohnstad.net/googles-new-generative-ai-search/#comment-942</guid>

					<description><![CDATA[[&#8230;] For more on this topic, see Google&#8217;s Generative AI Search Revolution: What Enterprise Software Companies Must Do Now. [&#8230;]]]></description>
			<content:encoded><![CDATA[<p>[&#8230;] For more on this topic, see Google&#8217;s Generative AI Search Revolution: What Enterprise Software Companies Must Do Now. [&#8230;]</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		By: AI Governance in Enterprise: Why Vendor Consolidation Fails - David Ohnstad		</title>
		<link>https://davidohnstad.net/googles-new-generative-ai-search/#comment-911</link>

		<dc:creator><![CDATA[AI Governance in Enterprise: Why Vendor Consolidation Fails - David Ohnstad]]></dc:creator>
		<pubDate>Mon, 28 Sep 2026 10:16:43 +0000</pubDate>
		<guid isPermaLink="false">https://davidohnstad.net/googles-new-generative-ai-search/#comment-911</guid>

					<description><![CDATA[[&#8230;] For more on this topic, see Google&#8217;s Generative AI Search Revolution: What Enterprise Software Companies Must Do Now. [&#8230;]]]></description>
			<content:encoded><![CDATA[<p>[&#8230;] For more on this topic, see Google&#8217;s Generative AI Search Revolution: What Enterprise Software Companies Must Do Now. [&#8230;]</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		By: Enterprise AI Implementation: Why Organizational Design Matters - David Ohnstad		</title>
		<link>https://davidohnstad.net/googles-new-generative-ai-search/#comment-900</link>

		<dc:creator><![CDATA[Enterprise AI Implementation: Why Organizational Design Matters - David Ohnstad]]></dc:creator>
		<pubDate>Thu, 24 Sep 2026 08:50:03 +0000</pubDate>
		<guid isPermaLink="false">https://davidohnstad.net/googles-new-generative-ai-search/#comment-900</guid>

					<description><![CDATA[[&#8230;] For more on this topic, see Google&#8217;s Generative AI Search Revolution: What Enterprise Software Companies Must Do Now. [&#8230;]]]></description>
			<content:encoded><![CDATA[<p>[&#8230;] For more on this topic, see Google&#8217;s Generative AI Search Revolution: What Enterprise Software Companies Must Do Now. [&#8230;]</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		By: Enterprise AI Implementation: Why Teams Fail Without the Right Skills - David Ohnstad		</title>
		<link>https://davidohnstad.net/googles-new-generative-ai-search/#comment-883</link>

		<dc:creator><![CDATA[Enterprise AI Implementation: Why Teams Fail Without the Right Skills - David Ohnstad]]></dc:creator>
		<pubDate>Wed, 09 Sep 2026 08:13:05 +0000</pubDate>
		<guid isPermaLink="false">https://davidohnstad.net/googles-new-generative-ai-search/#comment-883</guid>

					<description><![CDATA[[&#8230;] For more on this topic, see Google&#8217;s Generative AI Search Revolution: What Enterprise Software Companies Must Do Now. [&#8230;]]]></description>
			<content:encoded><![CDATA[<p>[&#8230;] For more on this topic, see Google&#8217;s Generative AI Search Revolution: What Enterprise Software Companies Must Do Now. [&#8230;]</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		By: Enterprise AI Implementation: Why Data Lineage Matters More Than Platform Promises - David Ohnstad		</title>
		<link>https://davidohnstad.net/googles-new-generative-ai-search/#comment-879</link>

		<dc:creator><![CDATA[Enterprise AI Implementation: Why Data Lineage Matters More Than Platform Promises - David Ohnstad]]></dc:creator>
		<pubDate>Mon, 07 Sep 2026 14:24:59 +0000</pubDate>
		<guid isPermaLink="false">https://davidohnstad.net/googles-new-generative-ai-search/#comment-879</guid>

					<description><![CDATA[[&#8230;] For more on this topic, see Google&#8217;s Generative AI Search Revolution: What Enterprise Software Companies Must Do Now. [&#8230;]]]></description>
			<content:encoded><![CDATA[<p>[&#8230;] For more on this topic, see Google&#8217;s Generative AI Search Revolution: What Enterprise Software Companies Must Do Now. [&#8230;]</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		By: Enterprise AI Agents: Why Most Companies Should Wait - David Ohnstad		</title>
		<link>https://davidohnstad.net/googles-new-generative-ai-search/#comment-872</link>

		<dc:creator><![CDATA[Enterprise AI Agents: Why Most Companies Should Wait - David Ohnstad]]></dc:creator>
		<pubDate>Fri, 04 Sep 2026 09:01:40 +0000</pubDate>
		<guid isPermaLink="false">https://davidohnstad.net/googles-new-generative-ai-search/#comment-872</guid>

					<description><![CDATA[[&#8230;] Layer 2: Process Documentation Depth. Is your workflow documented at the decision-node level, not just the happy-path level? This is where most teams fail. They document what happens when everything goes right, but they haven&#8217;t mapped the 30+ edge cases where human judgment is currently required. An agent can&#8217;t replicate judgment—it can only follow rules. If your process relies on employees &#8220;knowing when something feels off,&#8221; that&#8217;s not a process an agent can execute. The test is simple: could a new hire follow your documentation and make the same decisions your senior team makes? If not, you haven&#8217;t documented the process—you&#8217;ve documented an outline. David Ohnstad ran this audit for a data validation workflow at Veeam and discovered that 40% of the &#8220;process&#8221; was tribal knowledge held by three engineers who had been there since launch. Automating that workflow would have meant losing the error-catching that happened when those engineers noticed anomalies that didn&#8217;t fit documented rules. The correct move was to extract that tribal knowledge into explicit validation rules first, test them for six months, and only then consider automation. For more on this, see Google&#8217;s generative AI search capabilities. [&#8230;]]]></description>
			<content:encoded><![CDATA[<p>[&#8230;] Layer 2: Process Documentation Depth. Is your workflow documented at the decision-node level, not just the happy-path level? This is where most teams fail. They document what happens when everything goes right, but they haven&#8217;t mapped the 30+ edge cases where human judgment is currently required. An agent can&#8217;t replicate judgment—it can only follow rules. If your process relies on employees &#8220;knowing when something feels off,&#8221; that&#8217;s not a process an agent can execute. The test is simple: could a new hire follow your documentation and make the same decisions your senior team makes? If not, you haven&#8217;t documented the process—you&#8217;ve documented an outline. David Ohnstad ran this audit for a data validation workflow at Veeam and discovered that 40% of the &#8220;process&#8221; was tribal knowledge held by three engineers who had been there since launch. Automating that workflow would have meant losing the error-catching that happened when those engineers noticed anomalies that didn&#8217;t fit documented rules. The correct move was to extract that tribal knowledge into explicit validation rules first, test them for six months, and only then consider automation. For more on this, see Google&#8217;s generative AI search capabilities. [&#8230;]</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		By: AI ROI in Enterprise: When Implementation Outpaces Measurement - David Ohnstad		</title>
		<link>https://davidohnstad.net/googles-new-generative-ai-search/#comment-866</link>

		<dc:creator><![CDATA[AI ROI in Enterprise: When Implementation Outpaces Measurement - David Ohnstad]]></dc:creator>
		<pubDate>Tue, 01 Sep 2026 11:10:16 +0000</pubDate>
		<guid isPermaLink="false">https://davidohnstad.net/googles-new-generative-ai-search/#comment-866</guid>

					<description><![CDATA[[&#8230;] For more on this topic, see Google&#8217;s Generative AI Search Revolution: What Enterprise Software Companies Must Do Now. [&#8230;]]]></description>
			<content:encoded><![CDATA[<p>[&#8230;] For more on this topic, see Google&#8217;s Generative AI Search Revolution: What Enterprise Software Companies Must Do Now. [&#8230;]</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		By: Enterprise AI Integration: Legacy Systems Don&#039;t Block Modern ML - David Ohnstad		</title>
		<link>https://davidohnstad.net/googles-new-generative-ai-search/#comment-865</link>

		<dc:creator><![CDATA[Enterprise AI Integration: Legacy Systems Don&#039;t Block Modern ML - David Ohnstad]]></dc:creator>
		<pubDate>Tue, 01 Sep 2026 11:03:52 +0000</pubDate>
		<guid isPermaLink="false">https://davidohnstad.net/googles-new-generative-ai-search/#comment-865</guid>

					<description><![CDATA[[&#8230;] For more on this topic, see Google&#8217;s Generative AI Search Revolution: What Enterprise Software Companies Must Do Now. [&#8230;]]]></description>
			<content:encoded><![CDATA[<p>[&#8230;] For more on this topic, see Google&#8217;s Generative AI Search Revolution: What Enterprise Software Companies Must Do Now. [&#8230;]</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		By: Enterprise AI Governance: Why Risk Outpaced Control - David Ohnstad		</title>
		<link>https://davidohnstad.net/googles-new-generative-ai-search/#comment-859</link>

		<dc:creator><![CDATA[Enterprise AI Governance: Why Risk Outpaced Control - David Ohnstad]]></dc:creator>
		<pubDate>Mon, 31 Aug 2026 16:33:46 +0000</pubDate>
		<guid isPermaLink="false">https://davidohnstad.net/googles-new-generative-ai-search/#comment-859</guid>

					<description><![CDATA[[&#8230;] For more on this topic, see Google&#8217;s Generative AI Search Revolution: What Enterprise Software Companies Must Do Now. [&#8230;]]]></description>
			<content:encoded><![CDATA[<p>[&#8230;] For more on this topic, see Google&#8217;s Generative AI Search Revolution: What Enterprise Software Companies Must Do Now. [&#8230;]</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		By: AI in Product Lifecycle Management: Pre-Deployment Readiness - David Ohnstad		</title>
		<link>https://davidohnstad.net/googles-new-generative-ai-search/#comment-830</link>

		<dc:creator><![CDATA[AI in Product Lifecycle Management: Pre-Deployment Readiness - David Ohnstad]]></dc:creator>
		<pubDate>Mon, 24 Aug 2026 16:52:27 +0000</pubDate>
		<guid isPermaLink="false">https://davidohnstad.net/googles-new-generative-ai-search/#comment-830</guid>

					<description><![CDATA[[&#8230;] For more on this topic, see Google&#8217;s Generative AI Search Revolution: What Enterprise Software Companies Must Do Now. [&#8230;]]]></description>
			<content:encoded><![CDATA[<p>[&#8230;] For more on this topic, see Google&#8217;s Generative AI Search Revolution: What Enterprise Software Companies Must Do Now. [&#8230;]</p>
]]></content:encoded>
		
			</item>
	</channel>
</rss>
