How to Actually Implement AI in Your Business Without Wasting Six Months

22 Apr 2026 · 30 min · 17 chapters

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In short

Reality check on implementing AI in business now—how to avoid wasting months by choosing the right architecture, workflows, and knowledge base; why generic “AI tools” will commoditize/obsolesce; and how AI will expose non-experts while rewarding true expertise plus community/customer experience.

Guest

Jeff MacPherson, Canadian-based CEO of Cloud37. Cloud37 has operated in AI for nearly four years, starting as an AI agency building custom workflows; now it powers knowledge-to-subscription and internal “live FAQ” systems. Background includes building custom AI agents/workflows and scaling teams using AI tooling.

Key claims

AI adoption is inevitable and fast (“hockey stick effect”); tools become interchangeable and obsolete; the moat becomes community; success depends on “AI architect” process/workflow ownership; AI will reduce the advantage of pure marketing/snake-oil by making outputs more verifiable.

Notable examples

LinkedIn post generation replacing a team; newsletter/sales-caller tools becoming unnecessary or replaced; a TikTok script business using two agents to reach ~$70k/month with minimal fulfillment; a medical company training an internal agent so providers answer consistently as products update.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

The Current Landscape of AI in Business

0:51 to 2:16

Discussion about the overwhelming nature of AI for businesses and the urgency to adopt it.

“I mean, where this is going, the speed at which it has been going and how fast it keeps multiplying.”

Jeff's Experience and Cloud37's Mission

2:16 to 3:38

Jeff shares his journey in the AI space and the founding purpose of Cloud37.

“So a lot of time is going to move is going to compound into a very, very short period of time just because of that hockey stick effect.”

The Acceleration of Development with AI

3:38 to 4:52

Exploration of how AI is enabling rapid development, even for those without technical skills.

“their expertise into subscription models, which is really cool.”

The Future of AI and Its Implications

4:52 to 7:18

Discussion on how AI will differentiate true expertise from marketing hype in various fields.

“So it gave us the tools to be able to scale and scale properly.”

Community vs. Tools in the AI Era

7:18 to 8:34

Jeff explains how community and genuine customer experience will be key differentiators as AI tools become ubiquitous.

“But I want to I want to dissect that a little bit.”

The Role of AI in Home and Blue Collar Jobs

8:34 to 10:01

Discussion on the impact of AI on domestic tasks and blue collar jobs, addressing concerns about job displacement.

“And if you don't want to do those, I mean, you're just not going to be a part of it.”

Obsolete Tools and the Need for Adaptation

10:01 to 12:10

Jeff discusses the rapid obsolescence of certain tools and the importance of adaptable business processes.

“So to the at home piece first is you having a robot doing your dishes and helping you cook and stuff like that.”

Harnessing AI for Content Creation

12:10 to 14:01

Exploration of how AI can streamline content creation processes across platforms.

“Let's get some examples because I have an idea of what you're saying, but like, get some examples of what do you mean by these tools are going to be obsolete.”

Exploring AI Content Creation

14:01 to 15:00

Learn how AI can automate content creation for various platforms.

“You know, people like it's trained in my voice.”

Implementing Expert Frameworks

15:01 to 17:55

Discover how to leverage frameworks for scaling your business.

“Where do you see that becoming problems in the future where they become actually more significant problems?”
Show all 17 chapters

Transforming Knowledge into AI Solutions

17:56 to 20:57

Understand how to convert knowledge into valuable AI-driven solutions.

“So this is what a good objection handling is.”

Scalability in AI-Powered Businesses

20:58 to 22:55

Learn about AI scalability and its impact on business efficiency.

“this guy, he was building, he does like script writing for TikTok.”

Overcoming AI Adoption Challenges

22:56 to 26:06

Explore strategies to overcome fears and challenges of AI adoption.

“And Claude actually built a system so people could migrate from ChatGPT over to Claude.”

The Future of Work with AI

26:07 to 27:48

Insights on how AI will reshape jobs and create new opportunities.

“who's against it it's more of like i'm it's kind of like embarrassing because i don't know where to start.”

Engaging with the Audience

28:05 to 28:24

Learn how to connect with the host and the guest for further discussions.

“If people want to get on a call with us, great.”

Navigating AI Decisions

28:24 to 29:50

Understand the importance of patience and expert guidance in AI implementation.

“We want our values to align because we know the results that we can provide for you and your business.”

The Reality of AI in Business

29:50 to 30:00

Discover the critical perspective that businesses can thrive with or without AI.

“Our businesses ran before AI, so they will run with AI.”
Hear the part that matters, and keep it.Open this episode in VO. Double tap your headphones to save a moment as you listen.
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Transcript

Automatic transcript. May contain errors.

0:00Jeff MacPherson:AI is not coming. It is already here and it is moving faster than most businesses can think. The question is not whether you adopt it. The question is whether you adopt it before the gap becomes impossible to close. Today's guest is Jeff MacPherson, CEO of Cloud37, one of the sharpest operators in the AI space. Jeff and his team had been inside the AI world for nearly four years. They have seen what works, what gets oversold, and what most businesses are completely missing. We get into why AI will expose the people who were never really experts, how the next generation of businesses gets built, and the one decision that separates the operators who win from the ones who get left behind.

0:46Jeff MacPherson:This is not a hype conversation. This is the reality check. Let's unlock it.

1:00Jeff MacPherson:i have heard that ai is going to take over i've heard that ai is going to take over in three months eight months i have heard that we won't even know who we are in the next five years today we have mr ai himself jeff welcome to the show i think this is one of the most important topics we can talk about right now. I mean, where this is going, the speed at which it has been going and how fast it keeps multiplying. I don't think most humans can even understand. Let's get into it. What comes up when you hear all of that?

1:41Kayvon Kay:A lot of noise. That's for sure. First of all, thanks for having me. It's always good to see your pretty face. No, I mean, there is a lot. There's a lot of overwhelm. Every business is dealing with it right now. What tools do I use? How do I use it? Is my team not adopting it right? It's the same cycle for every business that we talk to. The fortunate thing is as fast as it's moving, we're still very, very far ahead. So the businesses that really start to adopt this now and understand what some of the stuff that will likely go through, you still have a lot of time. But the only problem with that time, to your point, it's very compressed.

2:16Kayvon Kay:So a lot of time is going to move is going to compound into a very, very short period of time just because of that hockey stick effect.

2:23Jeff MacPherson:Absolutely. Now for the audience wondering, well, who is Jeff? Why don't you tell us a little bit about, you know, who is Jeff and why, why you, what you've seen, I mean, over the last, I think three to five years since you've really dived in.

2:35Kayvon Kay:Yeah. So, I mean, Jeff McPherson, Canadian based with Cave on there. I am the CEO of a company called Cloud 37. We've been in the AI space for almost four years now. Crazy to think how time goes. We started as an AI agency years ago, and we were building custom stuff for people. They were like, you would want something in sales, we'd do it for you. And then the next person would come in and we'd do it for them. And we found the same problems with everybody. And this was like early chat GBT days too, everybody was still trying to figure it out. But there was the same issues for every single person.

3:09Kayvon Kay:It's nobody had their information set up properly or what people call their knowledge base. It's all in like Google Drive or Notion or Airtable and it's just everywhere. And then all of the agents or workflows, we were basically copying and pasting them because how agents are built, it's the same process every single time. The only thing that changes is the expertise and the information that you give it. And that's where we went out and built the platform Cloud37, which is essentially powering people's businesses. And we're helping people scale their expertise into subscription models, which is really cool.

3:44Jeff MacPherson:Yeah, we're going to get into that because I think it's very fascinating what you're doing and how you're helping, you know, whether it's everyday people or speakers, coaches, consultants that have knowledge that typically are trying to build courses and how to create that knowledge base and kind of an all in one solution. But I think for where we're at right now, I really want to touch on the rate of why, like, I mean, what we're seeing in the market with AI. I mean, for me, with zero development skills in the last two weeks, right, I've showed you what I've built. I built two pieces, like basically SaaS platforms with websites, with email integration.

4:18Jeff MacPherson:I mean, things that would have taken me and my business, I would say six to eight months, if not even a year, and a lot of headaches, a lot of questions of why it can't be done. I mean, it's mind boggling. And I'm sitting there going, if I'm doing this with zero expertise, zero, what is the developer who has all the expertise and know what to actually prompt, ask, change? How faster does that guy's work happen and quicker?

4:46Kayvon Kay:Yeah. Well, I mean, for us, last year alone, we ended up getting rid of three engineers and we're growing. So it gave us the tools to be able to scale and scale properly. All of these tools, it gives us the ability to just be different. What we're noticing in the market is tools and these dashboards and these platforms are becoming commoditized to an extent. But it's like, how do you separate yourself from everybody else? The only moat that we believe people are going to have in the future is going to be community. And this is something we're heavily pushing on all of our clients that we work with.

5:17Kayvon Kay:It's great to have a tool and have all these AI workflows and stuff like that. But when everybody can do the same thing, what's next? What's next? And that's what we're always trying to keep up with that sort of stuff. So people don't have to think they can stay in that process. But for the development side, it's, I mean, we're running our whole software company with some of these big technologies, Cloud Code being one of them. Sure, there's a couple other things in behind the scenes. And then some of our developers, five years ago, they weren't even developers. So it's like it gives people the ability to learn and learn fast.

5:48Kayvon Kay:Yes, there's still levels to it, 100%. But at the end of the day, if you're willing to put in the time to learn and become that expert, the tools will do everything and it's power to amplify you to that output. So where do you see AI going?

6:02Jeff MacPherson:I mean, what do you see the future of AI? And how fast? In business? I would say business and life at this point. Yeah.

6:11Kayvon Kay:I mean, the optimistic side, I think it's going to like for us, I mean, we've known each other for a long time now. I think it's going to give us the ability to do the things that we're actually passionate about. Like I know that you're being into the sports and the biking and skiing and stuff like that. I think it's going to give us time to be part of our passions, part of our families. If you're in the right bracket, for sure. There's obviously the bad apples that are going to do the bad things. But at the end of the day, it doesn't matter what the tool is, there's always those people. In terms of business, there's going to be an upper class and there's going to be a lower class.

6:43Kayvon Kay:What I'm most excited for is all of the people that we know on the market who made really good money for a short period of time, who weren't actually experts, who were some sort of affiliate or some sort of info guru or wherever. It's going to start exposing them for everything that they weren't because AI is just, it's unbiased. It will tell you exactly what's right and wrong and people who aren't experts or don't really know what they're talking about, it's going to expose them, which is going to give people who maybe didn't have those opportunities, the ability to be in that upper class because you still need the expertise there.

7:18Jeff MacPherson:Yeah, that's a big loaded answer there. But I want to I want to dissect that a little bit. Specifically, you're saying is going to expose the people that may not. I think what you're politely saying, they became really good marketers, but didn't know anything else but that so they knew how to sell but they didn't know actually how to maybe fulfill or what they were selling was snake oil but how's ai going to expose that if not just make it better and easier and faster for them to keep going down that road there's still going to be people who

7:47Kayvon Kay:win but when everybody can do it when all when everybody can do it what is going to separate people because you can only sell snake oil for so long like as the markets continue when because the problem with the people that were doing it before is if you didn't have that fancy car and you couldn't get pictures. Well, I mean, then you didn't have the ability to get in front of those people. But now with content, I can take a picture in front of a Lamborghini and get in front of those people. That content doesn't work anymore, but everybody is seeing that guy posting those pictures, selling a course, and we all know one of them.

8:14Kayvon Kay:But when everybody can get in front of the same audience doing the same thing and building the same products and stuff like that, the only thing that's going to separate you is truly understanding it and not selling snake oil. Nobody goes through courses anyways. We know this. It's having the community and having better true customer experience. There's still going to be a side of having that human interaction. And if you don't want to do those, I mean, you're just not going to be a part of it. It's pretty straightforward.

8:41Jeff MacPherson:Yeah, it sounds like there's no hiding anymore. Like if you're going to actually want to create influence and create community and or create an offer online, there's there's other factors that are in play now that must be looked at.

8:56Kayvon Kay:Lazy people will not win because at the end of the day, as easy as AI is, you need to. I mean, you understand it's like it's not it's easy, but it's not as easy as people think. And you put in work to build that site like it took you work.

9:08Jeff MacPherson:Yeah, yeah. I'm now probably over, I would say, 50 hours. But I mean, 50 hours, right, to build it all is just insane. And I keep laughing about a thousand dollars in credits. a lot better than the$50 ,000 proposal I got. Right. So, I mean, it's interesting because I just, someone said today, like, man, you're an AI expert. And I'm like, no, I'm not. I just use AI and I just use it as my brain and it's allowing me to be expert. I think that's the power of where AI is, but even the AI you and I are talking about is so small. We're talking about LMs here, let alone the robots that are going to be in people's homes that are going to be able to take care of your kids, clean the house, fix the, fix the sink.

9:51Jeff MacPherson:I mean, what's going to happen with all these professions and people that are worried about their jobs being taken over who are not adopting AI.

10:01Kayvon Kay:Yeah. And like that. So to the at home piece first is you having a robot doing your dishes and helping you cook and stuff like that. I mean, like unless it's a passion for you, do people really need to spend their time on it or could you spend time somewhere else with your family. There's that aspect of it. All the blue collar jobs is like, is it going to be, it's a while before that actually happens. Like these robots can't really empty a dishwasher without proper assistance as much as social media is showing you that way. So we've got a long ways before that happens, but where the blue collar is going to go and is a very easy example.

10:37If these robots are doing all the work, they're going to need

10:40Kayvon Kay:maintenance so instead of maintaining a car like an auto body shop there'll be robot auto body shops where people are going to have to do them and yes in time could robots do those possibly but it's like what's the next thing i do my best not to try and think what's that 10 15 year vision of what ai is because most of us don't even know what's going to happen the next six months

11:00Jeff MacPherson:well i mean the rate at what we're going it's pretty crazy like i mean i from what i was told I haven't looked at this, but I was talking to someone else. They said like in the last couple of days, and I'm not putting the date on here, but last couple of days, Claude Code came out and basically sunk like four Fortune top 100 companies. Stock down 20, 30 percent.

11:25Kayvon Kay:Yeah, it's insane what these what these platforms are doing. And this is why it's like we want to we are trying to show people is like don't build the tools in a in a respectful way. we're our own tools, like you have your knowledge, you have your expertise, the stuff that you've built over a long period of time. If you just know how to bottle that up and sell it to as many people as possible or be an extension of other people's business, that's when you're going to build the community to be able to do the next thing with those businesses. You're going to make really good money and let these big platforms do all the stuff that you just shouldn't do.

11:57Kayvon Kay:Like the amount of tools that are on the market that are just going to be obsolete in the next year and I see businesses signing up for these tools all the time, it's like, it's like, you're not going to have it. Like, it's just not going to be there.

12:09Jeff MacPherson:Yeah. Let's get some examples because I have an idea of what you're saying, but like, get some examples of what do you mean by these tools are going to be obsolete.

12:16Kayvon Kay:So there was there in the early days, there was newsletter tools. There was lots of them. People helping you write newsletters. I mean, you, you, you can write newsletters on your own now. Like you don't need to sign up for these a hundred dollar a month tools. There's AI sales callers. Now the things that AI sales callers in which you got to be careful with, because everybody goes through these or just callers in general. In the last two years, we've gone through five different callers. So it's like, because the voice is the, is the thing that people want, but the technologies in behind it are getting better.

12:46Kayvon Kay:So you have to set your business up that can be interchangeable to the actual multi, the multimodal, whether it's text, voice, callers, avatars. You want to be able to set your system up that you can change those just like downloading and removing an app on your phone. This is how people need to look at it. Because there's your operating system, which is your business processes. Then there's your LLM, which powers it just like the World Wide Web powers our websites. And then there's like your interaction points, which is how people receive value. Whether again, it's you receive it in text, voice uh avatar video all these things and those are the layers that that it comes down to

13:26Jeff MacPherson:it's interesting you're saying that because like the tools like things that i thought were oh you got to really know what you what you you really got to have the idea of how to use ai for these things to happen when you dive in and you kind of realize it's not that hard you know uh example i'll just use my LinkedIn posts. My LinkedIn posts are like, I had a team who was writing the LinkedIn posts and then they would, I mean, it's just, it was a nightmare. And I said, okay, you guys are not following directions. I know AI follows directions. Maybe an hour in, I now have a LinkedIn post that automatically gets posted on my LinkedIn.

14:03Jeff MacPherson:I don't care. You know, people like it's trained in my voice. It gets smarter as I get smarter because I keep training it up and it spits out a post in a graphic faster than any human possibly could before you can even say one two three here's a world-class post uh that gets sent out so just recently i said well if you can do that on linkedin why can't you do that for blogs newsletters blogs newsletters all of that

14:29Kayvon Kay:all these things yeah 100 it's like where where we try and go to it is because is there people who write better linkedin posts than us yeah i mean it's a linkedin post let's go with the newsletter because it's a little bit longer than those structures to these. Or like writing scripts for YouTube. Like this is, there's different levels to it. So if you could, and Alex Ramosi does this even with his own business, where you go and hire a consultant for a period of time, basically teach you the frameworks. Then you take those frameworks and you train your agents on them. Now you have expert frameworks that you can go and do this stuff yourself and you scale it infinitely.

15:02Jeff MacPherson:Absolutely. Absolutely. So my question is this, when does it become where like it's just content against content you know ai agent again ai agent i'll give an example of this is i'm sure you probably've been in uh legal battles you know ai agent against ai agent right i start off with the ai send it off to a business they come they put in their ai they're sent it off to me and next thing you know you you've lost you lost complete you've like sidetracked everything i see it i'm like okay can we stop with this ai let's just be real. Where do you see that becoming problems in the future where they become actually more significant problems?

15:43Kayvon Kay:It's hard to say. I think it's going to get worse before it gets better, for sure. People are going to take advantage of it wherever they can and try and siphon out as much money. But there's going to have to be some sort of guardrails put in place, like human guard rails in place, especially on the legality side. But it's hard to say, really. It's like when they're back and forth. Cause even like the LinkedIn, you can see them as like, they're commenting back and forth, comment, like they're having conversations with each other.

16:07Jeff MacPherson:Yeah.

16:08Kayvon Kay:When that happens with like lawyers back and forth, when that happens with, and how many years is that in? I don't really know. Is it ever going to come again? I don't really, I don't really know, but is it possible? 100%. Yeah.

16:22Jeff MacPherson:Yeah. I, it's, it's, it's interesting. So tell us a little bit more about like, you know, what your product, uh, How you're how you're servicing, you know, I think I believe it's coaches, consultants, experts, speakers. I mean, anybody that basically is a knowledge based business and or wanting to scale community.

Read the full transcript

16:41Kayvon Kay:Yeah. So, I mean, the community is the byproduct to it for sure. So we can just even use you for an example. And this is a good example because people are watching this. No, you are. So you're you're you're a sales expert. you have been for a long time. And you've, over the last X amount of years, you have built and understand sales better than almost anybody, which is great. So those frameworks, those strategies, like how you do objection handling, all of these things are your why you do things. So SOPs are essentially the steps. And then your frameworks and strategies are why you follow these steps in certain orders.

17:14Kayvon Kay:But the reasoning behind them at certain, so it's like an objection holding, it could come at different times. It's not the same thing every time, but you understand how to reason with these things. So what you do is you take all of that information, past transcriptions, your frameworks, your strategies, and you put it in a cave-on knowledge base. And then that helps you do your business better. It just does. It helps you do your output better because you can put in transcriptions, you can train people, all this fun stuff. But where it becomes very, very valuable is instead of just keeping it for yourself, because you keep the IP, you essentially bolt it onto another business.

17:46Kayvon Kay:So you start training their team on how to use your frameworks. Because where the difference business model is going, instead of selling an info product, you teach them what good output is. So this is what a good objection handling is. And then you give them the tool that's trained on you to be able to get that output faster. This is where... So you become fractional to more people with the exact same information, the exact same frameworks, the exact same agents. So it's like you can do it done with you.

18:14Jeff MacPherson:Yeah. So you basically become... I'm not sure it's the right word, but you become a mini LM for these people uh so they have i'm just going to say the cave on bot and they know that the cave on bot is going to be way better than a typical gpt or claude because it was actually trained uh bounced back filtered through my specific 20 years of sales experience which then goes back to the conversation i just want to make sure when we said people are going to be exposed those people are going to be exposed because they won't actually have the knowledge base the nuances the strategies the years of of in my case you know 101 different sales teams built 375 million dollars sold and i don't know how many trained sales reps they don't have that experience so now the output of the ai just becomes generic versus very detailed prescriptive

19:11Kayvon Kay:And like your chat GPTs of the world is generic knowledge. It has everything. Does it have stuff on how you teach? Absolutely. But what people subscribe to essentially is like your specific frameworks because you focus in your niche. But where it becomes powerful because people say, well, I could do this on GPTs. Well, the problem with GPTs, like custom projects or custom GPTs, is you can't stack the agents. So it's like an agent that does objection handling would do something different than writing a follow-up email, which would do something like there's different agents for different things.

19:43Kayvon Kay:So if I took a transcription and put it into Kayvon's ecosystem, I would start with the processes and keep going down. And then they would be hyper, like the expertise and the output behind them would be even more valuable because you're training these agents to do very, very specific things. And they work together just like your team does on an individual basis, because agents can't reason with everything right now. So when you give them too many things, this is where it starts to hallucinate. So this is where we start. And then where it comes in, it's like, okay, well, let's just keep adding more things.

20:16Kayvon Kay:I'm going to help salespeople train more people. So now the same knowledge, you train salespeople. And then the same knowledge helps you create content. So now you're literally just adding more agents into the exact same knowledge base. And you're just giving it to these businesses for a subscription.

20:31Jeff MacPherson:And then what I'm going to assume is the model itself just gets smarter over time and it gets better over time they essentially train your ip to be

20:39Kayvon Kay:better you build the community they get the output that they want and then everybody everybody wins

20:44Jeff MacPherson:community i i would i'm starting to understand subscription is really what you're calling by

20:49Kayvon Kay:community uh yeah so there is some people like we have some people that are doing it for free and they're doing we have people who are doing it for like low ticket but here's another example so this guy, he was building, he does like script writing for TikTok. I won't mention the business name because it's not important, but he was building GPTs for people on OpenAI. But what he was doing, he had to build an audience or a profile for these people, just like anybody has to do. It's like you're basically onboarding people into your business, your service-based business. So he had to manually do those every single time.

21:25Kayvon Kay:And then every single person, he would have to create a new project for every single customer. So it is possible. So with the system, what we did is we built him an onboarding agent and then a scripting agent. So every time one of his new customers comes in, they fill in the onboarding agent and it creates a custom profile for them. It creates their audience. And then all of the agents dynamically train to that audience. So you have to create one agent that dynamically trains to everybody's custom profiles and that's scalability this guy's doing like 70k a month with two agents

21:58Jeff MacPherson:yeah selling tiktok scripts and he's and and essentially zero fulfillment because it's all

22:05Kayvon Kay:ai driven because then the same information the same information we built a customer support agent so people have questions they answer the questions it's the same information i was gonna

22:15Jeff MacPherson:say that's where they say uh i'm sure you've heard it right there's going to be a billion dollar company with one employee yeah it's like people like this who are just understanding how to just use the agent and build the ai it's it's it's interesting because people listen to us i you know they could be all over the world in all different uh uh areas of business and for us you and i we i would say we've been inundated with ai for like three years like it's like if you're not even using AI. You're already thinking of the past. I was just at an event last week where 90 % of the people weren't even using AI.

22:52Jeff MacPherson:They were like, yeah, I kind of use GPT. And I'm like, not even Claude? What's Claude? And I'm going, oh my God. I don't know. I'm not going to be the AI whisperer. I'll tell you that much.

23:07Kayvon Kay:No, I mean, Claude's winning for sure. And Claude actually built a system so people could migrate from ChatGPT over to Claude. Claude's going to win for sure. Another use case in terms of the scale, because not everybody has to turn it into a subscription. Because some people are like, well, I don't want to turn it into a subscription. Okay, fine. So we're working with another company. It's in the medical space where they have a whole bunch of providers throughout the US. But they have all of this knowledge because they have products and they have the medical advice that comes with it. So we trained it in their knowledge base.

23:41Kayvon Kay:So all of their providers can basically talk to this agent on behalf of their clients and get the answers consistently. So as the company updates new products, the whole system changes at once. So they have it more of an internal training process for these businesses.

23:57Jeff MacPherson:I'm going to call it just for people understanding what's happening here. Like it's an FA, a live FAQ, internal SOP, ask any question about the business and you'll have all the answers right in front of you. So think about employees sitting there or even clients sitting there or potential customers sitting there and has a question. They don't need to wait and book a call. Employee doesn't need to go bother a manager. It's all basically just a data dump of information that allows you to receive, get anything you want from your company. It's the warehouse.

24:32Kayvon Kay:It really is. And it's just a specific knowledge that's used for the use case. because they were struggling with how do I keep giving these providers more information as we update it. So it's, it's scales knowledge. Like that's all AI is. It's transformation of, of information. That's all it is.

24:52Jeff MacPherson:So how do we convince people who are listening right now and saying, I'm scared of AI. I don't believe in AI. Like how do, how do we, what do we, what do I have to say? What do you have to say to get them to realize like AI is not coming, it's here. Yeah. And it's getting smarter by the day. And I believe that there's two camps. There's going to be, you watch this, and maybe in a year, maybe two years, I'll tell you, it's definitely going to be happening within two years. There's going to be people, they're going to first camp, oh, I think I tried AI. Oh, I dabbled. And they're going to be a thing of the past.

25:25Jeff MacPherson:Or there's going to be the camp that looked at AI and said, not only am I going to adopt it, I'm going to become the best person in it. So I can exist in a world where AI has taken over, but I can be the 1 % that still needs to be able to be a prompt engineer and or no AI at the highest level where I still can control my own business.

25:45Kayvon Kay:um i i completely agree so there there's a couple things like even when i'm working with ceos and stuff like that is like remove ai from the conversation it's like what are what are day-to-day things that like you like they're monotonous tasks especially in the business world what are things that you can just uplift like things you just don't want to do anymore the big thing is people it's a lot of overwhelm i don't know where to start i think a lot of people who's against it it's more of like i'm it's kind of like embarrassing because i don't know where to start. I think there's a lot of that aspect in it.

26:15Kayvon Kay:So allowing people to really understand you're still so far ahead, even if you're just doing a little bit. The problem with it is if you don't do the work, the gap that's going to happen is going to be insane. We set up the processes for these businesses to follow, essentially like accountability partners, where some of their team members didn't buy in and they're no longer with the company. It's like you have to buy into this ever-changing thing. AI takes work. You still need to put your boots on. You still need to work with it. But when you learn it, there's something that we call like your AI architect role, which this is, I believe, going to be the future of people's businesses.

26:53Kayvon Kay:These are the people who understand workflows and processes and prompting. These are like your new age COOs. They understand all the verticals that are running it. And the people that can, who have these in their business or don't, they need to hire. If they do have them, are they at the skill set yet? Because there's not that many out there. So for the people who are, where should I start? It's understanding the workflows and understanding that process because you can have a very, very big business helping other businesses implement it into their ecosystem.

27:26Jeff MacPherson:There's going to be, we didn't say this at the beginning, but as many jobs, I believe this is kind of like exactly what the industrial revolution and when we went from carriages and buggies to cars, right? The reality is this, is as many jobs AI will take over, I believe just as many will be created. Things that we don't even know exist, jobs will be created to service, like you said, to service the AI, to be the AI architect. If somebody wants to, if this is the right fit for them and they're like, I need you, because they ain't calling me. They're going to be calling you.

28:06Kayvon Kay:They could.

28:07Jeff MacPherson:No, don't call me.

28:08Kayvon Kay:Just cloud37.ai is a good spot. If people want to get on a call with us, great. Or just on social media anywhere, JeffMacAI across all social medias is a good place to find me as well. But we're very specific on who we work with. We want our values to align because we know the results that we can provide for you and your business. So those are just the prerequisites. We just want to work with good people because it's a lot of fun. And that's just what I have the ability to do.

28:44Jeff MacPherson:Any last departing words for somebody who's sitting there frozen with the idea of AI? What would we say?

28:53Kayvon Kay:as fast as it moves and this is kind of the the the scary thing um in the frustrating thing at the same time as fast as it moves you have to you have to be so patient with making your decision like you have to move slow in such a fast-paced world because you can make one wrong decision get six months down the line and lose more than six months yeah because it because getting back So it's like if you don't understand what the process is, find people like ourselves who can help you understand what's going to happen before they sell you into the thing that you need. Because I can almost guarantee you that 95 % of the time what you're being sold is not what you need.

29:32Jeff MacPherson:Yeah. Yeah. Or being overpriced. I can tell you that much for what it is. Yeah. So reach out to experts that know, understand it's coming, but make slow and smart decisions because it changes so fast and you got to be able to hedge each decision you make moving forward.

29:50Kayvon Kay:Our businesses ran before AI, so they will run with AI. So stop listening to all of the gurus on social media. I love it.

30:00Jeff MacPherson:Stop listening to the gurus, but only Jeff. I appreciate Jeff. Always, always grateful for you to stop by. and I can't wait to see us on another episode in a year where we're going to be talking about the next evolution of this, all of this.

30:13Kayvon Kay:Who knows what's going to be here in a year, but no, I appreciate you having me.

From the publisher

Most businesses are not behind on AI because they lack access.

They are behind because they moved fast in the wrong direction.

Six months. Tens of thousands of dollars. Tools that no longer exist. Teams that never bought in. This is the pattern, and it is more common than anyone is admitting.

This episode is the correction.

Kayvon Kay sits down with Jeff MacPherson, CEO of Cloud37 and one of the most clear-eyed operators in the AI implementation space. Jeff has spent four years inside the infrastructure of how businesses actually adopt AI, not how they talk about it on social media. What he has seen, and what he breaks down in this conversation, is the difference between businesses that are compounding and businesses that are quietly falling behind while convinced they are keeping up.

The conversation moves fast and stays grounded. Kayvon built two full SaaS platforms with zero development experience. Jeff eliminated three engineers while growing. A client is generating seventy thousand dollars a month from two AI agents with near-zero fulfillment. These are not projections. They are current operating realities.

What becomes clear is this: the businesses that win are not the ones with the most tools. They are the ones who understand the architecture underneath the tools. Process first. Knowledge base second. Agents third. Get that order wrong and you are rebuilding in six months.

Jeff also draws a line that most people in the AI space are avoiding. The people who built audiences on manufactured credibility are being exposed. Not by critics. By the technology itself. When everyone has access to the same output capability, the only thing that differentiates is genuine expertise. You either have the depth or you do not. AI will make that visible faster than anything that came before it.

This episode is for founders, operators, and executives who are past the question of whether AI matters and are now asking how to build with it correctly. It is not for people still deciding whether to start. That window is compressing.

If you are running a knowledge-based business, a sales organization, a service company, or a team that relies on internal processes and repeatable delivery, this conversation applies directly to your next ninety days.

The intersection of AI business strategy, workflow automation, sales systems, and subscription model design is where most of the real money is moving right now. The businesses scaling efficiently in 2025 and into 2026 are not adding more headcount. They are building AI architectures that extend expertise, reduce fulfillment cost, and create recurring revenue from intellectual property that already exists inside their organizations. That is what this conversation is about.

Topics Covered

  • Why most AI implementations fail within the first six months

  • The three-layer architecture every business needs before buying tools

  • How Kayvon built two SaaS platforms with zero development experience

  • Why community is the only durable moat in an AI-saturated market

  • The AI Architect role and why it is the most valuable hire of the next decade

  • How to turn existing expertise into a scalable subscription model

  • Why generic AI output will expose fake experts and reward real ones

  • The $70K per month case study built on two agents and near-zero fulfillment

  • How to implement AI without making expensive, irreversible decisions

Looking to dive deeper into these conversations and connect with our host and guest?

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