<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Stratessence Insights</title><description>Essays and frameworks on AI strategy, AI-native transformation, and evaluating AI companies, from an operator.</description><link>https://www.stratessence.com/</link><language>en</language><item><title>The reckoning is a reframe: how AI startups navigate the shift from hype to scrutiny</title><link>https://www.stratessence.com/insights/how-ai-startups-reframe-for-the-reckoning/</link><guid isPermaLink="true">https://www.stratessence.com/insights/how-ai-startups-reframe-for-the-reckoning/</guid><description>The AI funding climate is turning from story and growth to durability and proof. For founders with a real business, that is not a threat. It is a reframe, and here are the four moves that make it.</description><pubDate>Mon, 27 Jul 2026 00:00:00 GMT</pubDate><category>startups</category><category>AI strategy</category><category>fundraising</category><category>production</category><category>durability</category><author>Dipankar Sarkar</author></item><item><title>Growth is not durability: reading an AI company in a hype cycle</title><link>https://www.stratessence.com/insights/reading-an-ai-company-in-a-hype-cycle/</link><guid isPermaLink="true">https://www.stratessence.com/insights/reading-an-ai-company-in-a-hype-cycle/</guid><description>While the feed argues about whether AI is a bubble, the useful question for an investor is narrower and older, is this company&apos;s advantage durable. Here is how to read one when valuations and noise are both high.</description><pubDate>Sun, 26 Jul 2026 00:00:00 GMT</pubDate><category>investing</category><category>due diligence</category><category>valuations</category><category>AI bubble</category><category>durability</category><author>Dipankar Sarkar</author></item><item><title>AI capex is someone else&apos;s problem, until it is your unit economics</title><link>https://www.stratessence.com/insights/ai-capex-and-your-unit-economics/</link><guid isPermaLink="true">https://www.stratessence.com/insights/ai-capex-and-your-unit-economics/</guid><description>The headlines are about hundred-billion-dollar data-center spending. The version that matters for your company is smaller and closer: whether a given AI feature earns its own running cost.</description><pubDate>Fri, 24 Jul 2026 00:00:00 GMT</pubDate><category>unit economics</category><category>cost</category><category>AI capex</category><category>production</category><category>strategy</category><author>Dipankar Sarkar</author></item><item><title>RAG in plain terms: grounding enterprise AI in your own data</title><link>https://www.stratessence.com/insights/rag-in-enterprise-ai-strategy/</link><guid isPermaLink="true">https://www.stratessence.com/insights/rag-in-enterprise-ai-strategy/</guid><description>Retrieval-augmented generation is how most enterprise AI stays accurate and current. Here is what it actually is, where it fits in a strategy, and why the retrieval, not the model, is where the work lives.</description><pubDate>Wed, 22 Jul 2026 00:00:00 GMT</pubDate><category>RAG</category><category>enterprise AI</category><category>architecture</category><category>strategy</category><category>production</category><author>Dipankar Sarkar</author></item><item><title>The fractional Chief AI Officer: what it is, and when to hire one</title><link>https://www.stratessence.com/insights/fractional-chief-ai-officer-guide/</link><guid isPermaLink="true">https://www.stratessence.com/insights/fractional-chief-ai-officer-guide/</guid><description>A fractional Chief AI Officer gives a company senior AI leadership without the cost or the wait of a full-time hire. Here is what the role actually does, when it makes sense, and how it should end.</description><pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate><category>fractional CAIO</category><category>AI leadership</category><category>hiring</category><category>strategy</category><author>Dipankar Sarkar</author></item><item><title>How to build an AI strategy that actually ships to production</title><link>https://www.stratessence.com/insights/how-to-build-an-ai-strategy-that-ships/</link><guid isPermaLink="true">https://www.stratessence.com/insights/how-to-build-an-ai-strategy-that-ships/</guid><description>A practical method for turning AI ambition into systems that reach production, built around value mapping, honest prioritization, and closing the Production Gap.</description><pubDate>Sun, 28 Jun 2026 00:00:00 GMT</pubDate><category>AI strategy</category><category>production</category><category>roadmap</category><category>prioritization</category><author>Dipankar Sarkar</author></item><item><title>Why generative AI pilots fail to reach production</title><link>https://www.stratessence.com/insights/why-ai-pilots-fail-to-reach-production/</link><guid isPermaLink="true">https://www.stratessence.com/insights/why-ai-pilots-fail-to-reach-production/</guid><description>Most AI pilots work in the demo and die on the way to production. The reason is rarely the model. It is the five gaps between a demo and a system a business can rely on.</description><pubDate>Sat, 20 Jun 2026 00:00:00 GMT</pubDate><category>production</category><category>pilots</category><category>evaluation</category><category>AI-native</category><author>Dipankar Sarkar</author></item><item><title>What &quot;AI-native&quot; actually means</title><link>https://www.stratessence.com/insights/what-ai-native-actually-means/</link><guid isPermaLink="true">https://www.stratessence.com/insights/what-ai-native-actually-means/</guid><description>AI-native is used to mean everything and therefore nothing. Here is a precise definition, a maturity ladder to locate yourself on, and why the rung you are on is the first honest strategic fact.</description><pubDate>Fri, 12 Jun 2026 00:00:00 GMT</pubDate><category>AI-native</category><category>operating model</category><category>maturity</category><category>strategy</category><author>Dipankar Sarkar</author></item><item><title>How to tell a real AI company from a wrapper</title><link>https://www.stratessence.com/insights/how-to-tell-a-real-ai-company-from-a-wrapper/</link><guid isPermaLink="true">https://www.stratessence.com/insights/how-to-tell-a-real-ai-company-from-a-wrapper/</guid><description>Every company is an AI company in the pitch. For investors, the hard question is whether the advantage is durable or a thin layer the next model release will erase. Five questions get you to an honest answer.</description><pubDate>Fri, 05 Jun 2026 00:00:00 GMT</pubDate><category>due diligence</category><category>investing</category><category>moat</category><category>unit economics</category><author>Dipankar Sarkar</author></item><item><title>The boutique alternative for AI strategy, and when to choose it</title><link>https://www.stratessence.com/insights/boutique-vs-big-firm-ai-consulting/</link><guid isPermaLink="true">https://www.stratessence.com/insights/boutique-vs-big-firm-ai-consulting/</guid><description>The large firms are not the only option for AI strategy, and often not the right one. An honest comparison of boutique and big-firm AI consulting, and how to choose between them.</description><pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate><category>consulting</category><category>boutique</category><category>AI strategy</category><category>fractional</category><author>Dipankar Sarkar</author></item></channel></rss>