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    <description>What we have learned putting AI into business workflows: why projects stall, what adoption actually costs, and the numbers behind both.</description>
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    <lastBuildDate>Wed, 23 Sep 2026 00:00:00 GMT</lastBuildDate>
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      <title>Candidate rediscovery: make your existing database useful</title>
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      <description>A practical guide to candidate rediscovery: search existing ATS records, check relevance, refresh availability and measure interviews and placements.</description>
      <pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate>
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      <title>AI CV matching and shortlisting for recruitment agencies</title>
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      <description>How recruitment agencies can use AI CV matching with recruiter review, ATS integration and practical measures of shortlist quality and time saved.</description>
      <pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate>
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      <title>Measure lead follow-up before you automate it</title>
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      <description>Most sales teams have the same quiet leak: an enquiry arrives, someone means to call, two days pass. Three measurements that cost nothing find it.</description>
      <pubDate>Mon, 07 Sep 2026 00:00:00 GMT</pubDate>
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      <title>Why your team stopped using the AI tool you bought</title>
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      <description>Adoption is rarely a training problem. People stop using a tool when using it costs more attention than not using it — and that is fixable.</description>
      <pubDate>Mon, 07 Sep 2026 00:00:00 GMT</pubDate>
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      <title>How to prove an AI project worked: measure before you build</title>
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      <description>MIT found 95% of enterprise GenAI pilots produced no measurable P&amp;L return. Usually the technology was fine — nobody wrote down the before.</description>
      <pubDate>Mon, 07 Sep 2026 00:00:00 GMT</pubDate>
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