How to build your company's AI brain in 2026

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20 MINUTES by Noco - for B2B SaaS founders and CMOs that move fast 33 min 1 speaker 8 chapters transcribed 9 days ago
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What exactly is a company brain and why do most AI solutions fail without one?

Wes Botman 0:00
That's the whole thing that I always found very annoying with all these AI solutions. They sound very nice, but they're all like on the surface. You cannot use any of those in a very good way unless you got like this central core that feeds it.
Ian Piepenbrock 0:28
Hello everybody, welcome to a new episode of the NoCo podcast. I'm joined today by Wes Botman. He's a founding partner at Noco and we're going to talk about the NoCo brain today. Now if you're wondering what the hell I'm talking about, um I'm going to uh I'm going to explain that to you, or we are actually. So Of course, every company is implementing AI, looking for ways to implement AI to remove friction, to reduce FTE, etc. And just like every other company, that's what we were doing as well over the course of I guess 2025. We rolled out Cloud for Teams. We had the vision of creating some sort of knowledge base and some sort of joint AI workflow and shared context windows. Now to a certain Extent a tool like Claude uh gives you that, but to a much larger extent it does not.
Ian Piepenbrock 1:17
It still remains quite siloed. There is not truly a collaborative workflow, there is not truly a shared context window. And Every time I want to brainstorm about a topic like this, that's when I talk to Wes because he's good at dissecting these and coming up with solution solutions. And that's exactly what we have been doing. Wes is spearheading uh building our company brain. And today we're going to break down how we do that, uh, which use cases come from that and how it can potentially benefit you. We keep it high over today, but we plan to do do more episodes where we go more into detail of all those separate use use cases. Wes, uh help me out here. What is a company brain in the context of you know working with LLMs and AI?
Wes Botman 2:06
Well it the brain the no co brain is where all the information about a company and our collaborations is stored. And uh that's something that is automatically updated uh Yeah, constantly. Um so it does a lot of things. For example, it will also uh leverage the transcript of this podcast to see if we need to create an article out of this content. Uh but the primary goal for us now is to have as much context as possible about our clients, about our subscriptions, our projects. uh to be able to serve them better. Um so it's uh connected to a lot of things uh from like Contract management to Slack fireflies um It uh it collects a lot of Information um In order to just like Yeah, for us to understand the client better, uh, but also to eventually uh be able to have a more AI first um design approach.
Wes Botman 3:12
You know, like how can you do that if you don't have enough context? Um but it also does a lot of other things to make sure that uh we work in the right direction. So it's it's integrated with uh tools like SAMRush and uh data for SEO, which is an API we're using. Um it's connected to our clients, Google Analytics, uh Google Search Console, that kind of stuff. Uh so it's it's it's basically just pulling data from everywhere to see if we're going in the right direction. Like if a client uh has a goal that uh he just wants to convert way more enterprise clients. You know, it's good for us to have that context. It's also good to to measure that. And we used to do that already, uh but since it's now happening constantly by our own AI.
Wes Botman 3:59
Um we're just uh yeah, I th I think it will eventually make our work also better.

How does Noco’s brain differ from a single‑model AI project?

Wes Botman 4:05
So Uh right. That's what we're currently doing. But yeah.
Ian Piepenbrock 4:09
Let me stop you there, because this is interesting stuff, and we're definitely gonna talk about this in in upcoming episodes. But for everybody that's watching this and still dabbling with, you know, uh something like Cloud for Teams or ChatGPT for Teams, etcetera, compared to what we're trying to build, what is the fundamental difference here? Because, you know, again, people are attempting to build some sort of knowledge base, but they hit they hit walls and they hit sort of walls on Silos. What are you, what are we fundamentally doing differently by building this approach out?
Wes Botman 4:44
So y y you've already been working a lot with uh Cloud for Teams.

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