<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Knowledge-Transfer on AI For Human Expertise</title><link>https://aiforhumanexpertise.com/tags/knowledge-transfer/</link><description>Recent content in Knowledge-Transfer on AI For Human Expertise</description><generator>Hugo</generator><language>en-gb</language><lastBuildDate>Sun, 08 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://aiforhumanexpertise.com/tags/knowledge-transfer/index.xml" rel="self" type="application/rss+xml"/><item><title>AI for Knowledge Transfer: The Opportunity Most Organisations Miss</title><link>https://aiforhumanexpertise.com/blog/ai-for-knowledge-transfer/</link><pubDate>Sun, 08 Mar 2026 00:00:00 +0000</pubDate><guid>https://aiforhumanexpertise.com/blog/ai-for-knowledge-transfer/</guid><description>&lt;h2 id="ai-for-knowledge-transfer-the-opportunity-most-organisations-are-missing"&gt;AI for Knowledge Transfer: The Opportunity Most Organisations Are Missing&lt;/h2&gt;
&lt;p&gt;Across industries, the dominant conversation about AI is about augmentation: helping people work faster, automating repetitive tasks, and processing existing information more efficiently. That is valuable, and organisations are beginning to see the returns across areas like reporting, scheduling, and operational monitoring.&lt;/p&gt;
&lt;p&gt;But there is an equally important application that is largely overlooked, and in our experience building AI systems inside large organisations, one of the highest-value problems AI is actually well-suited to address.&lt;/p&gt;</description></item></channel></rss>