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	<title>The Harvard Law School Forum on Corporate Governance</title>
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	<title>AI Governance for Private Companies &#8211; The Harvard Law School Forum on Corporate Governance</title>
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		<title>AI Governance for Private Companies</title>
		<link>https://corpgov.law.harvard.edu/2026/08/21/ai-governance-for-private-companies/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=ai-governance-for-private-companies</link>
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		<pubDate>Fri, 21 Aug 2026 11:32:30 +0000</pubDate>
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				<category><![CDATA[Practitioner Publications]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[AI compliance]]></category>
		<category><![CDATA[AI Governance]]></category>
		<category><![CDATA[AI regulation]]></category>
		<category><![CDATA[AI risk management]]></category>
		<category><![CDATA[Artificial intelligence]]></category>
		<category><![CDATA[Generative AI]]></category>
		<category><![CDATA[private companies]]></category>
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		<category><![CDATA[Responsible AI]]></category>

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		<description><![CDATA[Artificial intelligence has moved rapidly from experimentation to deployment. For fast-growing private companies, the opportunity is substantial: AI can improve productivity, enhance customer experience, accelerate decision-making, and help teams scale without adding commensurate headcount. AI tools are also now increasingly embedded in core business processes and capable of taking actions with limited human involvement. Notably, [&#8230;]]]></description>
				<content:encoded><![CDATA[<hgroup><em>Posted by Hillary Flynn, Drew Morales, and Courtney Hugger, Wellington Management, on Friday, August 21, 2026 </em><div class='e_n' style='background:#F8F8F8;padding:10px;margin-top:5px;margin-bottom:10px;text-indent:2.5em;'><strong style='margin-left:-2.5em;'>Editor's Note: </strong> <p style="margin:0; display:inline;"><a href="https://www.wellington.com/en-us/intermediary/experts.expert/hillary-flynn">Hillary Flynn</a> is the Director, <a href="https://www.wellington.com/en/experts.expert/drew-morales">Drew Morales</a> is the Associate Director, and <a href="https://www.wellington.com/en/experts.expert/courtney-hugger">Courtney Hugger</a> is an Associate of the Private Investments Value Creation team at Wellington Management. This post is based on a publication by Wellington Management’s Private Investments Value Creation Team in collaboration with its Public Markets ESG Team, and authored by Ms. Flynn, Mr. Morales, Ms. Hugger, and <a href="https://www.wellington.com/en/experts.expert/caroline-conway">Caroline Conway</a>, all at Wellington Management.</p>
</div></hgroup><p>Artificial intelligence has moved rapidly from experimentation to deployment. For fast-growing private companies, the opportunity is substantial: AI can improve productivity, enhance customer experience, accelerate decision-making, and help teams scale without adding commensurate headcount. AI tools are also now increasingly embedded in core business processes and capable of taking actions with limited human involvement.</p>
<p>Notably, nearly three in four companies plan to deploy agentic AI within two years despite only one in five having a mature governance model for autonomous agents.<a class="footnote" id="1b" href="https://corpgov.law.harvard.edu/2026/08/21/ai-governance-for-private-companies/#1">[1]</a></p>
<p>This gap creates risk. Companies that move quickly without appropriate oversight may expose themselves to operational, legal, cybersecurity, customer, and reputational challenges. We believe it is critical for companies to adopt best practices that create the confidence and discipline required to safely deploy AI across their businesses.</p>
<p> <a href="https://corpgov.law.harvard.edu/2026/08/21/ai-governance-for-private-companies/#more-183332" class="more-link"><span aria-label="Continue reading AI Governance for Private Companies">(more&hellip;)</span></a></p>
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