Aug 19, 2026 · 24 min · 11 segments
On the 70th episode of Enterprise AI Innovators, hosts Evan Reiser (CEO and co-founder, Abnormal AI) and Saam Motamedi (General Partner…
Vijay SankaranGuest
Evan ReiserHost
Saam MotamediHost
Maybe just starting higher level, we have a lot of chief information officers, chief digital officers, chief technology officers who listen to the show, and I think all of them, including yourself, are facing a flood of AI ideas coming at them, right? Every day, internal ideas, customer-facing ideas.
There's a lot of, i-in my mind, experimentation That needs to go on around what is the right way to do something and what are the right problems to s- you know, uh, apply this to, right? And so that's a lot of w- where, where we are, is planting a lot of seeds, aligning it to the, to the business systems, looking for continuously better ways to do things to optimize the economics, right? Because as an outcome, right, if you think about it, let's say that you have 100 engineers, right? You know, the, the hypothesis is that either that same capacity of 100 engineers can do with a, a five or 10 AI engineer investment through, you know, one of these frontier models, right, or open weight models, 10X what they were doing before, right? Or you're gonna, you know, reduce your staff of engineers by some percentage so that you can get that return on investment and, and value in terms of your throughput.
You know, if you have sellers and you're, you know, amplifying your commercial process, you want them to produce, you know, 3X or 5X the number of proposals that they were doing because they now have AIs to respond to RFPs and, and so on and so forth, right? And so designing the system, designing the architecture, making it very modular so you can figure out what the right models are, and then real measurement, in my mind, that's really where CIOs need to live into the future.
I can't underestimate the importance of architecture and then also data in that equation, because it all plays a huge role in whether or not the capabilities that are being generally rolled out can add value within an enterprise ecosystem.
Maybe just starting higher level, we have a lot of chief information officers, chief digital officers, chief technology officers who listen to the show, and I think all of them, including yourself, are facing a flood of AI ideas coming at them, right? Every day, internal ideas, customer-facing ideas.
There's a lot of, i-in my mind, experimentation That needs to go on around what is the right way to do something and what are the right problems to s- you know, uh, apply this to, right? And so that's a lot of w- where, where we are, is planting a lot of seeds, aligning it to the, to the business systems, looking for continuously better ways to do things to optimize the economics, right? Because as an outcome, right, if you think about it, let's say that you have 100 engineers, right? You know, the, the hypothesis is that either that same capacity of 100 engineers can do with a, a five or 10 AI engineer investment through, you know, one of these frontier models, right, or open weight models, 10X what they were doing before, right? Or you're gonna, you know, reduce your staff of engineers by some percentage so that you can get that return on investment and, and value in terms of your throughput.
You know, if you have sellers and you're, you know, amplifying your commercial process, you want them to produce, you know, 3X or 5X the number of proposals that they were doing because they now have AIs to respond to RFPs and, and so on and so forth, right? And so designing the system, designing the architecture, making it very modular so you can figure out what the right models are, and then real measurement, in my mind, that's really where CIOs need to live into the future.
I can't underestimate the importance of architecture and then also data in that equation, because it all plays a huge role in whether or not the capabilities that are being generally rolled out can add value within an enterprise ecosystem.
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