AI Growth Measure Your Success with This Strategy

17 Jun 2026 · 0 min

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In this brief presentation, the speaker emphasizes that the growth of AI initiatives hinges on effectively measuring their outcomes. He outlines a logical sequence: start with the business problem, assess the available data, plan the build and governance processes, and then define how to measure success. The core message is that demonstrating tangible value—rather than merely tracking usage metrics like user counts—is essential for proving AI's positive impact and justifying further investment.

Really important if you want to grow your AI is to measure the outcomes that you're getting from your AI. When you think about the business need and the problem, and you start thinking, what data do I have to solve this problem? How am I going to build it? How am I going to govern it? Then you also have to think about, how am I going to measure it? So you really want to think about the measurement, because if you can show positive value and not just how many people are using it, I mean, obviously, if you have a subscription service, maybe that's a good thing that a lot of people are using it.