Most AI investments produce marginal returns from increased productivity and efficiency. But not compounding business impact. This Substack explores what the companies actually scaling AI are doing differently — and it's not what most CEOs think.
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Most companies think they have context. What they have is a filing cabinet. Here's a precise definition of a real AI context layer, the four tests that grade what you already have, and the five moves.
Why every AI workflow you build will be generic until you give it the Foundation Five.
Over the last months, Hubspot has quielty added Brand Knowledge to Marketing and AI Context and Knoweldge Vaults to Breeze AI. While these steps go in the right direction, they come with draw-backs.
80% of companies implement AI to primarily increase productivity and efficiency. What they don't know is that this keeps them trapped in Scattered AI, barring them from achieving coumpounding returns.
Most companies bolt AI onto a broken process to make it faster or more efficient. The top 5% think differently. Here's the test that tells you which steps belong to a human, a workflow, or an agent.
Most Companies Fail to Scale With AI Because They Are Missing A Fundamental Layer: The AI Context Layer.
Your AI Can Read 1,500 Pages. Your Knowledge Base Still Can't Scale.
Despite massive investments, enthusiasm, and executive mandate, 70% of Digital Transformation projects failed. Now, with AI, we are seeing executives make exactly the same mistakes.
