How I Operationalize AI in 60 Days: 5 Strategic Moves for SaaS Leaders to Double Sales and Cultivate a Thriving Culture

“really focus on churn let's go into customer retention and then as you see all the way to the right it could be on customer turn rate Revenue turn rate or product usage frequency and you could build AI workflows to support that specific area to really move the needle the biggest thing I want to encourage here though is because you could do everything with AI what I'm finding is people will do nothing with AI so this focus is the most critical tip of the spear when you're attacking this all right the other step and this how many metrics people do we have in here how”

“looking at a team of 40 okay that's pretty impactful when you look at it right okay so now I'm going to move on to section two I'm going to talk about the Implement train and transition or transform I should say because this is really critical so now that we have the focus the next thing that we're going to do is really look at how it's different and is set expect ations and this is one of the areas where I see it wrong um how many people think that how should I say this uh let's just put consumer I'll was just say consumers generally speaking have a um High”

“that are using it and 90% of the team that aren't and you have somebody who's amazing at doing these things and creating Innovations but they're not being leveraged across the team okay so you want to have it in a centralized repository the next is iterative prompting does anybody know what I mean by iterative prompting at all it's literally one of my favorit okay so we got some AI savy folks in the front row Kyle knows it too he's he's he's raising his hand over there so all it is and this is one of the super coolest functions within chat gbt you have an output you highlight it there's a little”

“staff revops person in here nobody okay Rev Ops Revenue operations okay usually for bigger companies if you have the teams package in chat gbt you could effectively mimic a full-time revops person and basically these were some of the insights that we created where basically able to close rates by 40% improve it increase deal size from 21k to 91k in the situation and attack the Enterprise segment we all did this by”

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