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    <title>Saravana Jaikumar</title>
    <link>https://saravanajaikumar.com/insights/</link>
    <description>Essays on AI adoption, model choice, agent spending and what enterprise AI actually costs.</description>
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    <lastBuildDate>Sun, 01 Nov 2026 00:00:00 GMT</lastBuildDate>
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      <title>From asking to orchestrating: four stages of AI adoption</title>
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      <pubDate>Sun, 01 Nov 2026 00:00:00 GMT</pubDate>
      <description>Ask, Automate, Delegate and Orchestrate describe where an organisation sits with AI and what each stage asks of its leaders, with a real case for each.</description>
      <category>Adoption</category>
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      <title>Targeting is not dying, it is moving</title>
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      <pubDate>Sun, 01 Nov 2026 00:00:00 GMT</pubDate>
      <description>Ad platforms may now choose who sees an ad better than you can, which leaves marketers with positioning and with checking the platform's own reported results.</description>
      <category>Analytics</category>
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      <title>&quot;The AI part was the easy part&quot;: a three-week quotation process</title>
      <link>https://saravanajaikumar.com/insights/the-ai-part-was-the-easy-part/</link>
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      <pubDate>Sun, 25 Oct 2026 00:00:00 GMT</pubDate>
      <description>A manufacturer's quotes took two to three weeks and five in 150 became orders, and the technology was quick to build while changing how people worked was the real project.</description>
      <category>Adoption</category>
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      <title>Open weights remove one kind of lock-in, not all of it</title>
      <link>https://saravanajaikumar.com/insights/open-weights-do-not-end-lock-in/</link>
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      <pubDate>Mon, 19 Oct 2026 00:00:00 GMT</pubDate>
      <description>You can keep an open-weight model you downloaded, but not the lab's roadmap, so due diligence on a model should include who funds the lab and whether you could run this version for two years.</description>
      <category>AI &amp; small models</category>
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      <title>Cheaper tokens, broken budgets: why AI agents need spending caps</title>
      <link>https://saravanajaikumar.com/insights/ai-agents-need-spending-caps/</link>
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      <pubDate>Sun, 11 Oct 2026 00:00:00 GMT</pubDate>
      <description>Google now lets a hard spending cap pause its work agent, which tells us agents should be run as cost centres, with an owner, a limit and a named person who can press resume.</description>
      <category>Agents &amp; automation</category>
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      <title>Your default AI model may be one tier too big</title>
      <link>https://saravanajaikumar.com/insights/default-ai-model-one-tier-too-big/</link>
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      <pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate>
      <description>A small model's reported jump on a computer-use test is a reason to re-test your own workloads on the smaller tier before you keep paying for the larger one.</description>
      <category>AI &amp; small models</category>
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      <title>Where enterprise AI stalls: between the pilot and daily use</title>
      <link>https://saravanajaikumar.com/insights/where-enterprise-ai-stalls-pilot-to-daily-use/</link>
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      <pubDate>Thu, 08 Oct 2026 00:00:00 GMT</pubDate>
      <description>Anthropic's $100 million academy suggests the hard step in enterprise AI is getting from a pilot that works to a system people use every day, and that depends on people more than tools.</description>
      <category>Adoption</category>
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      <title>Shoppers will let AI fill the cart, but not press buy</title>
      <link>https://saravanajaikumar.com/insights/shopping-agents-fill-the-cart-not-press-buy/</link>
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      <pubDate>Fri, 25 Sep 2026 00:00:00 GMT</pubDate>
      <description>DoorDash's own figures and an Accenture survey point to the same design goal: an agent that does the work up to checkout and then makes the final review fast.</description>
      <category>Agents &amp; automation</category>
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      <title>Agree the measure before the budget: lessons from ChatGPT ads</title>
      <link>https://saravanajaikumar.com/insights/agree-the-measure-before-the-budget-chatgpt-ads/</link>
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      <pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate>
      <description>A big launch proves that a channel exists, not that it works, so a conversational ad format needs a measure and a test agreed before any spend.</description>
      <category>Analytics</category>
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      <title>Choosing the right model for the job: a layered approach to token costs</title>
      <link>https://saravanajaikumar.com/insights/choosing-the-right-model-for-the-job/</link>
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      <pubDate>Sun, 30 Aug 2026 00:00:00 GMT</pubDate>
      <description>Using the most powerful AI model for everything is the fastest route to a large bill, so a layered approach matches each task to the cheapest model that does it well.</description>
      <category>AI &amp; small models</category>
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