Tom Ferrari explains why sales leaders should treat AI as an operating-model shift, not just productivity tools. Start with a maturity assessment to find gaps and quick wins. Two technical foundations matter most: the data layer and the semantic layer.
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So how should sales leaders, CEOs, CROs think about AI? You know, is it a collection of productivity tools? Is it just a layer, or is it a complete operating model shift? What are you seeing out there?
The way I like to start describing AI when we get to that part of the conversation, it really is something that can transform in a full operational level. How your go-to-market team operates. That's not the place to start though. And the way, good way to orient yourself is you probably see this floating around on the internet. There are lots of tests, something along the lines of AI maturity ladder or AI health check and these sort of things. And basically it just helps you orient where you are and where your gaps are and what are the immediate wins. Some structural element that are important are, of course, you know, your data layer, your semantic layer, and how you're using that.