Most organizations start AI projects without agreeing on what they actually want: cheaper operations, faster work, or better accuracy. Without that clarity, teams get stuck deciding which expensive projects are worth it. Few companies even ask if they want to replace human salespeople with AI.
What, what, what'd you have to say about that? I mean, it's a good point because I think that is, that's probably where teams get stuck is they go, we want to do AI. And to your point a second, what, what do you want? Are you trying to eke out costs? Are you trying to deliver more speed? Are you trying to deliver more agility, more precision? You know, like these are, they're kind of like esoteric concepts at that level, but they're like really important to like get the org aligned around, you know, like There are things that are potentially more expensive, but the yield is going to be crazy, you know, and really having the, the team aligned around like, what's our goal here? You know, is it, and I, I don't honestly see many companies doing this, but it's like, all right, is, is the goal to eliminate human-staffed sales roles on the revenue team?
Roll Claude out from one laptop to the whole GTM org | Sam Gong & Zach Vidibor
