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  <title>A Conversation about Managing the Machines: Organizational Design for Multi-Agent AI</title>
  <description>This research explores how&amp;amp;nbsp;management theory&amp;amp;nbsp;and&amp;amp;nbsp;organizational design&amp;amp;nbsp;provide a necessary framework for governing&amp;amp;nbsp;multi-agent AI systems. While technical metaphors focus on software architecture, the author argues that these systems actually face human-like&amp;amp;nbsp;organizational pathologies, such as ambiguous authority and coordination breakdowns. By applying concepts like&amp;amp;nbsp;span of control,&amp;amp;nbsp;decision rights, and&amp;amp;nbsp;boundary objects, companies can move beyond experimental setups toward stable, scalable operations. The research emphasizes that successful AI deployment requires&amp;amp;nbsp;cross-functional expertise&amp;amp;nbsp;to manage complex workflows and ensure accountability. Ultimately, the research suggests that treating AI agents like specialized workers within a structured hierarchy improves&amp;amp;nbsp;performance and reliability. Thus, the future of AI integration depends as much on&amp;amp;nbsp;human administrative wisdom&amp;amp;nbsp;as it does on engineering precision.  See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. </description>
  <author_name>Leadership Article Review Podcast</author_name>
  <author_url>https://art19.com/shows/leadership-article-review-podcast</author_url>
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