00:00:00Last year my company did over 250 million dollars in aggregate revenue. I've been in business for
00:00:03over a decade and a half. In this video I'll show you how we use AI to make our business better,
00:00:07cheaper, faster, and less risky for our customers. I'll also walk you through some real examples of
00:00:11every department. Number one, how do we actually make the business better? So if we think about
00:00:16each of the functions of the business you're going to be turning raw attention into some sort of
00:00:20profit. Right, like if we look at businesses though it's a manufacturing belt. And the first,
00:00:25I think, misconception that people have around implementing AI to their business is they think
00:00:28they must become an AI business, which is not true at all. And so the easiest analogy I can give is
00:00:32the internet. Right, so almost every business is on the internet. You don't have to be an internet
00:00:38business. You just use the internet as one of the many tools that you use to deliver whatever it is
00:00:42that you sell. And so I think the first mistake that I'm seeing businesses make is assuming that
00:00:48either they have to become tech companies. Now there's a component of being tech forward,
00:00:51but like are you tech forward for having a web page? Not anymore, but you used to be. And the people who
00:00:57got there first got disproportionate returns. The second kind of big thing that is being a mistake
00:01:02is assuming that like one of the tech nerds is going to do it for you. Now one of the big
00:01:07advantages of the thing that I've had that's led to some disproportionate outcomes for me has been
00:01:11what I'll consider cloud to dirt knowledge. So like vertical integration of knowledge. So being able to
00:01:16do the high level strategy, being able to handle the people stuff, communication, marketing, all the way
00:01:22down to the granularity of like, how do we connect this API to this other API? And the reason I think
00:01:27that cloud to dirt understanding of all systems within the business is valuable is because you're
00:01:32the only one who's going to understand what is possible. So even if you have some tech nerd,
00:01:37right, who's next to you, you would then ask them, well, what is possible? And they're going to answer
00:01:41within their limited context of business. And so if you know your business better than them,
00:01:44which you should if you're the owner, then you can see how different pieces if applied together
00:01:49would be really valuable. They won't see that inherent value. And so they're going to default
00:01:53to things that they've seen before that people have done, which largely will be what I consider
00:01:57commoditized automations, right? And so where you get the true alpha or the true kind of big
00:02:03improvements in the business are going to come from your business acumen getting overlaid on top of
00:02:09technical acumen. Now you probably don't consider yourself to be a tech person. I certainly don't.
00:02:14In fact, I would say that I don't even like saying it, but I largely dislike technology. But I see it
00:02:20as a necessary evil being emphasis on the necessary part, which is that you've got to get good at the
00:02:26shit. So I'm going to give you a couple of things that you can do, and then I'll give you some
00:02:28examples of stuff we've done. But things that you can do today right now is there's a zillion
00:02:34videos on YouTube on how to automate a specific thing or task within a business. They exist. You
00:02:38can find them on your own time. What I would encourage you to do is take the link, take the
00:02:43transcript, and then say, "Hey, I want help building this thing." And then plug that into
00:02:48whatever AI you want, and then follow the directions. And when you get stuck, take a
00:02:54screenshot of the page and say, "What do I do now?" And put it in the chat. And do that over and over
00:02:59and over again. So from a marketing perspective, we have an AISDR right now who's matching our human
00:03:07team. Okay. Now, one of the big mess-ups though is that people will install, business owners will
00:03:13install a half-built function of AI into their business, compare it to something that's been
00:03:20optimized over the last six years or 10 years or 20 years, and say, "See, it doesn't work as well.
00:03:26John Henry wins again." Right? For those who don't know that, well, you were born probably after 2000.
00:03:31Anyways, so the idea here is you have to do an apples to apples comparison, which is how long
00:03:38did you work on training and putting all the SOPs together? Okay, great. Well, then you have to apply
00:03:43that same methodology to the AI. So let me give you a different example of this. So the reason that I
00:03:48think that people who have sales called sales AI agencies will struggle is that you have to know
00:03:55more than just tech and just how to sell in order to implement sales into different businesses. And
00:04:01as somebody who's been very good at acquire customers via checkout page, via webinar,
00:04:05via in-person sales, via phone sales, most of the ways that you know how to acquire customers,
00:04:10we've gotten pretty good at over the years, and it's just probably maybe an obsession of mine.
00:04:13But the thing is, is that if I were to go into a company and they say, "Hey, Alex,
00:04:17can we use your AI setter to apply to my whatever XYZ business?" I would say, "Well, it's not going
00:04:23to be like a simple drag and drop." It would be like saying, "Hey, can I take one of your sales
00:04:27guys and put them in my business?" The first shot, you think they're going to be good? Of course not.
00:04:31They're going to suck. They're going to be terrible. And you're going to be like, "How is
00:04:34that good?" Now, it's even worse if you don't even have a very good sales process as is, and then
00:04:39saying, "Oh, now that I have an AI salesperson or AI setter, I'm going to run an ad and then have the
00:04:43AI setter call every single person who opts in." Well, would you have a human call every single
00:04:48person that opts in? You can then make the argument, "Well, it'd be cheaper." It's like, "Yeah, but would
00:04:51it be effective?" Most times, there's a certain amount. There's a sales motion. There's a sales
00:04:55process. AI will make the things that you're doing right now easier and faster. It doesn't
00:05:00mean that you still don't have to do them. Real quick, I'm going to show you the exact 10-stage
00:05:05roadmap from zero to 100 million plus that less than 1% of companies finish. I've now done multiple
00:05:10times. And so, I can say with a lot of confidence that these are the stages, as headcount increases,
00:05:15that you need to get through. And I broke each of these down by eight different functions of the
00:05:19business, what the constraint feels like, what are the symptoms of it when you're going through it,
00:05:24and then what steps we actually took to graduate. And we've done this across software, physical
00:05:28products, service businesses, brick and mortar, all of this, and it works. And it's my gift to you.
00:05:34It's absolutely free. And so, the link's in the description, but you just go acquisition.com/roadmap.
00:05:38Just enter your info, and it'll spit it right back to you, all free. So, humans aren't going to change.
00:05:43Our ability to be persuaded, the things that we find interesting and important, those aren't going
00:05:48to change. The psychology of humans is largely going to remain unchanged. And so, whatever you
00:05:52do in order to persuade people will still have to happen. It's not that all of a sudden, all the
00:05:56rules of persuasion are broken. And to the same degree, if your business now starts using AI,
00:06:00I wouldn't advertise that you're using AI. No one cares. They just care that they get their stuff
00:06:05faster, that they get it cheaper, that they make it better, and that it's risk-free. And so, let's just
00:06:10hit those ones really quickly. So, from a risk-free perspective, how can AI reduce the risk in a
00:06:16business? Now, on a global level, right, I think PayPal reduced its fraud team by a gigantic amount.
00:06:22And more importantly, they've reduced their fraud losses by $700 million in a single year just by
00:06:28having AI start recognizing patterns faster. Now, to the same degree, on a human savings level,
00:06:34JP Morgan had Coin, which was their AI engine for, I think, credit agreements and something like that.
00:06:41But it basically saved 350,000 lawyer hours, which they were able to just basically do 12,000 credit
00:06:47agreements in seconds, rather than having these lawyers review them over and over again. That is
00:06:50another use case. Now, some of these seem like these big global companies, but you're like,
00:06:53"How the hell am I going to do this in my smaller business? Will Klarna replace 700 customer service
00:06:59agents with AI and save $40 million in a year?" For us, when we did our book launch, this before
00:07:03people were talking about agents as much, we spun up five agents that handled, I think it was like,
00:07:10somewhere in the neighborhood of like 120,000 support tickets. And it was mostly just like,
00:07:16"Hey, can you tell me where I get the free stuff?" But we were able to resolve 90% of all tickets
00:07:21without any human intervention. You have to find a time, and maybe that's weekends, maybe that's
00:07:27evenings, maybe that's early mornings, maybe that's middle of the day, whatever that thing is for you,
00:07:30that time period is for you, where you have to fully dedicate yourself and actually go soup to
00:07:35nuts, click to close, beginning to end on just automating one portion of your day. That is my
00:07:40only ask. Now, people have an incredibly hard time with this for two reasons. One, because everyone's
00:07:46afraid of AI, which by the way, if you're watching this and you have workflows, who do you think would
00:07:50be best served to automate the workflow? Someone else or you? You should automate your workflow,
00:07:57because then that will give you time to figure out what else you can do that's more valuable.
00:08:01Now, every single time you think about your workflow, whenever you want to put what I'll just
00:08:06call magic or mysticism in, it's where you say, well, I just kind of know, or I have a gut feeling,
00:08:11or I have intuition or instinct or whatever you want to call it. I just want you to think
00:08:14pattern recognition, because that takes all of this magic away from it. Because you are an organism
00:08:21that has been exposed to different stimuli, and then you had reinforcement cycles that occurred,
00:08:25where you realize that this, like when we say, oh, I think that looks cool, it's because we've seen
00:08:29things that look similar to that. We generalize this pattern and then describe it as cool.
00:08:35That's how it works. And so, if you can just erase your romanticism around whatever niche,
00:08:40specialized knowledge you believe to have, and believe me, I'm somebody who thinks for a living,
00:08:45I would be the most threatened by AI. You still have to approach it with an observable lens,
00:08:51which is what are the actual behaviors that I do in order to get this outcome?
00:08:55And so, even something as simple as like, okay, I have to think of a cool idea for this YouTube
00:09:01video. We have different ways. I'm sure you have some ways where you're like, okay, well,
00:09:05I think about what I did that week. Okay. So, could a bot look at your calendar? Okay. Step one.
00:09:13Step two, can you record all of the calls that you take and have those transcribed? Okay. That's
00:09:18now more interesting, because now I have a bot that not only sees the calendar, they also know what all
00:09:23the conversations were. Okay. Can I then ask that bot to say, hey, any interesting situation or
00:09:29decision that came up over the last week? I want you to put the top five most interesting ones into
00:09:34a document for me. And then run it. And then great. Now you've got the five most interesting moments.
00:09:39What does it also create? True stories and narratives, which is do epic shit,
00:09:44talk about the epic shit you did, right? So, you don't have to make stuff up. The big difficulty
00:09:49that people will have in the world of AI content creation is proof. That's the issue. That's the
00:09:55problem. And so, there will be endless amount. Now, on the consumer side, they won't be as
00:10:01sensitive. On the B2B side, it still matters. Imagine tomorrow there's a B2B AI avatar, right?
00:10:09For sure. Why do I think that that won't work that well? Because the same reason it doesn't work for
00:10:14other people who don't have any proof. The first thing that's, again, human psychology is not going
00:10:20to change. People are still going to wonder, why should I listen to you? Why should I listen to this
00:10:24AI bot? Well, if that AI bot has no proof about why it is good or what it's achieved or what real
00:10:30world outcome it's had, it's just words. It's just GPT words, right? And so, what would then happen
00:10:36is it has to be backed by somebody who has done some extraordinary thing. Maybe you see an e-commerce
00:10:41store. Maybe you're an amazing trader. Maybe you're really good at real estate investing. Maybe whatever
00:10:45your thing is, right? You have to have the proof. And so, in a consumer world, it is easier because,
00:10:52and this is, I mean, again, psychology doesn't change. If you have a beautiful AI avatar,
00:10:57talking about skincare, people are going to see the beautiful AI avatar. And then the way the avatar
00:11:01looks gives proof to the thing. Now, we can be clear that obviously it's just purely pixels and
00:11:06generated, but I think that the human psychology part, I don't think that's going to matter,
00:11:11right? But on the B2B side, I still think it will. And so, I use all these examples to say,
00:11:15and hopefully drive home a single point, which is that the internet is here. It's just
00:11:2325, 30 years later and it's AI. And your business doesn't have to become an AI business, but you do
00:11:32need to use AI in your business. You don't need to advertise that you use AI, just like I don't
00:11:36advertise that I use the internet, right? I just use it, just like you do. And so, we use the tools
00:11:45to get the outcomes. We don't advertise the tools we use. I don't talk about my CRM. I don't talk
00:11:49about what call service we have or what specific training I'm doing for a specific rep. Probably
00:11:54not. I don't talk about that because no one cares. They just care about the outcome. And whether I'm
00:11:59good at it is whether they buy again. And that will come down to your skill. And so, my big
00:12:03encouragement is that you are not too busy to do this. You have other things that are less important
00:12:07and you need to start prioritizing this. Real quick, I'm going to show you the exact 10-stage
00:12:10roadmap from zero to 100 million plus that less than 1% of companies finish. I've now done multiple
00:12:16times. And so, I can say with a lot of confidence that these are the stages, as headcount increases,
00:12:21that you need to get through. And I broke each of these down by eight different functions of the
00:12:25business, what the constraint feels like, what are the symptoms of it when you're going through it,
00:12:30and then what steps we actually took to graduate. And we've done this across software, physical
00:12:34products, service businesses, brick and mortar, all of this, and it works. And it's my gift to you.
00:12:40It's absolutely free. And so, the link's in the description, but you just go acquisition.com/roadmap,
00:12:44just enter your info, and it'll spit it right back to you all free. So, the AI equivalent of the web
00:12:50page in the internet era is a different type of response because the internet was all about
00:12:57connection. And so, the website became a calling card, right? It was a means for people to contact.
00:13:02So, it was really, it was in some ways single faceted. From an AI perspective, anything a human
00:13:10touches, an AI can interact with at a basic level. And so, if we think about the departments, right,
00:13:18there's going to be AI that's going to be involved in marketing. But let me give you some examples of
00:13:23many different ones that small businesses use. You can have an AI that helps you create the ideas
00:13:29behind your marketing. You can have an AI that helps you script and package the ideas, meaning
00:13:34the headlines, the thumbnails, even the topics themselves, right? It's a little bit kind of like
00:13:38the ideas. You can have AI run the tests for different thumbnails automatically that it
00:13:45generates and then creates a skill based on what it sees over time of what's winning. That's on the
00:13:51organic side. Now, again, you can also include trend research there. What are the trending formats? What
00:13:55are the trending hooks? What are the trending visual hooks, not just verbal hooks? And then
00:14:00take all of that information and then cross-reference it with past content or subject matter that you
00:14:05would show your AI that you associate with, which means AKA brand, right? And so, you say, okay,
00:14:11these are trending formats, hooks, intros, visuals, and this is what I do. Come up with the Venn
00:14:17diagram, the cross pollination of those things and give me 10 of those. And of those 10, you'll pick
00:14:21the one you find interesting. You click that button and now it starts generating the idea, the headline,
00:14:24the scripts, whatever. That is on the content side. On the ad side, this is where it gets very
00:14:31interesting too, is that you can create self-licking ice cream cones, which means that I can make content
00:14:37and I can have the content immediately get overlaid with the CTA, which immediately gets put directly
00:14:43into an ad campaign that launches every single day with yesterday's content. You can create endless
00:14:47amount of statics, static images off of different data sets. So, for example, if you run a community
00:14:53on school, you could have, hey, I have one tab where people list their wins. Great. Any new win
00:14:58that gets added to that immediately gets transferred over and then runs through six visual templates
00:15:04that we know are high converting. And then we will run those as ads towards Vantage, which is
00:15:10our million dollar plus community that we have there, right? All of that automated. Pretty slick,
00:15:16right? And so, all of these things like, and that's, again, all of those examples are just marketing,
00:15:21right? Sales, you can apply all the way across the bat too, which is like, how can I enrich the leads?
00:15:25How can I respond to them quickly in terms of, can I send an automated voice note? Can I send
00:15:30an image or text that's obviously personalized their business, which we can dynamically pull?
00:15:34Yes, of course you can. Can you do that via DM on Instagram? Yes, you can, right? All of that's just
00:15:39on the nurture side, right? On the scheduling, can we do more dynamic scheduling because we have one
00:15:43AI who hands off to another AI? Yeah. Is availability less of an issue? Sure. Does that mean speed to
00:15:48content goes through the roof? Yes. Now, the thing is, is that we've got 18 months. We have about 18
00:15:52months where there's just a huge amount of wealth that can be created by people who have nothing.
00:15:56It's a very big opportunity. And so, no matter where you're at right now, if you had an army of
00:16:03these agents working on autonomous tasks for you, you could get a lot more done than you currently
00:16:08are. And I think you should do that. But I mean, it works across the board. My legal team, like I
00:16:16can have one general counsel that instead of having a hundred paralegals run all the different stuff
00:16:19that we have for deals and lawsuits and whatever else that we have going on, she can just run it
00:16:25all through different agents that have different tasks, right? First response, second response,
00:16:29cease and desist, all that stuff that we have to do every day.