# Ranking Every AI Service You Can SELL in 2025

## Метаданные

- **Канал:** Nick Saraev
- **YouTube:** https://www.youtube.com/watch?v=whXs1RaQIDA
- **Дата:** 24.04.2025
- **Длительность:** 51:22
- **Просмотры:** 51,470
- **Источник:** https://ekstraktznaniy.ru/video/12222

## Описание

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Summary ⤵️
In this video I rank the 15 most commonly sold AI services based on the ROI they provide to customers and how easy they are to sell.

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## Транскрипт

### Introduction []

Here's every AI service that you guys could sell in 2025 ranked. I'm going to rank them on the basis of their ability to produce a return on investment for the customer. I'm also going to rank them on their ability to sell for you. I'm going to show you guys how to do all of this on this big tier list. And I've built every single one of these systems at some point in time over the last year and a half on my channel so you guys can get templates and blueprints and basically copy and paste these into your own. The way that I'm going to do this is I'm going to recommend you guys sell anything that's ranked S, A, or B. And then I'm going to heavily dissuade you from selling anything between C, D, E, and F, just based off my personal experience. Okay, so let's get up and running with the very first, which is

### Proposal Automation System [0:37]

the proposal automation system. This is a system I sold quite a bit on my own journey to $72,000 a month here. To make a long story short, what this is this is a three-step system where you have a sales event. This sales event triggers some sort of AI which fills in a template and this is a proposal template. Okay. So what I mean by this is on the sales event you'll usually have either a form that you or a salesperson will fill out. Alternatively you could use the transcript of the call recording itself. That's all information that you then feed into artificial intelligence. You say something like hey here's all the information from the call. I want you to fill in the following template based off of that. So you feed info into the LLM. AI then generates a bunch of templated fields and then you use that to fill in a PDF or a panda doc maybe like a Google slide or some format. There are variety of different tools that you could use for that purpose. So I'm not going to enumerate all of them but the value in this is quite immense. Okay. From a business perspective, you are helping them generate revenue immediately. Because if they have a sales call-based flow, like we do as a automation agencies, I'm sure we could all agree that how quickly you get high value stuff in front of a prospect determines to a large part how likely they are to buy. So, if you can have a sales call with them and then within 30 minutes send them over an extraordinarily detailed, super customized proposal that makes it seem like you spent hours putting that together. I mean, on the one hand, they're going to be like, "What the heck? Are you kidding? How the heck did you do that? " But on the other hand, they're going to be in the mood to buy when you put the asset in front of them, which will substantially improve your conversion rate, your CVR. Now, if you think about it from the client perspective, you sell them a system that allows them to do this and they have higher CVRs, that's more money, that's more revenue. Okay? So, this is immediately demonstrable return on investment, which is nice. There's also some minor cost reduction. So, if you think about it, this is time that their sales team would have had to spend putting together this proposal. And I will say, I think a big lowhanging fruit is that most sales people are not like great at admin and stuff like that. I mean, I was definitely not very good at admin back when I was doing door to door sales. That was one of my main issues and I had the back office always yelling at me for forgetting to fill out various fields and not like doing my agreements properly and stuff. This just eliminates all that cuz you actually just have artificial intelligence do it. This is going to reduce the cost of errors basically and ultimately like the return on investment is pretty high. It's going to transform hours of work into just a few minutes which you know anytime that you introduce something that can transform hours of work into a few minutes obviously there's a return on investment for it. How would I go about selling this? I do a delivery model with a one-time setup and then maybe I'd offer some minimal maintenance. After I do it, I'd offer like a revision period. So, after I build the system, I'd give them maybe a week or so, maybe two weeks, where I basically say, "Hey, you know, if you guys want any changes on the system, let me know. I'm going to do them entirely, no cost for the next week or two. After if you'd like me to continue making changes, I can either get you on a monthly maintenance package, which will cover all of this. I can bill you hourly, which will be at my full hourly rate of $225 an hour, or I can get you on a monthly recurring retainer, which also includes all of these benefits, like I'm going to do X, Y, and Z system. I'm going to implement this, I'm going to do that, I'm going to offer you all these new build hours or all this new build time or all these new systems. So, you know, this is a good upsell opportunity and it's a good mechanism to do that as well. It's not very technically complex. I'd rate the technical complexity is like moderate. It does require integration with your CRM if you want to like really knock it out of the park for the client. You don't just want to like generate the proposal. You want to take that proposal and then put it in a CRM so that they have everything logged and organized. You also need to understand how document generation tools work. And then you know it's basically it's ready right now. The techn is mature. I've sold maybe $100,000 or more with this particular product. The market demand for this is strong and I use it myself anytime I generate a proposal. So this is like evidence that if I'm using the proposal generator to sell people on the viability of the proposal generator, odds are that system itself is pretty good, right? So where exactly would I rank this? Well, to make a long story short, this system is good enough that I would rank it a tier. Proposal generator

### Personalized Email Followup [4:12]

system is very cool. All right, let's go down here to personalized email follow-up system. What is a personalized email follow-up system? Well, essentially a lot of companies nowadays have inbound flows. And what these inbound flows look like is they will have a lead come in through an ad, like a Facebook lead ad or some sort of Google ad or something. Okay? And then the person will fill out a form of some kind. Now, once they're at the form, what do they do? Very similar to the proposal generator conceptually, they add a bunch of information to this form. What we do is we feed that into AI and we have it template out the first few lines of maybe like an icebreaker or something and then with that customized icebreaker, the first line of the SMS or email, we send them some sort of communicate and we do that within like 60 seconds. Basically, there's this big stat that people talk about. I think the stat is dependent on industry and it's dependent on exactly what we're doing, but it's something like if you can respond to a customer within 60 seconds of their inquiry, you increase your final conversion rate by 396% or something along those lines. And I think there's no situation in which that's more true than some sort of like advertising based flow. If somebody is clicking on an ad and they are filling out their information, odds are they want something now. They don't want something in a week. month. They don't want something in however long the average digital agency takes to get back to people. They want it now. And so what this system does is it allows you to solve for that. This allows you to get in front of a customer within a minute of them submitting a form and implying that you're going to give them a call back or connect with them or something, right? Hey, Pete. Just saw you filled out the form for X, Y, and Z. A uh place, dude. Love uh the neighborhood, by the way. Big fan. Listen, I'm just heading into a parking garage. Let me give you a ring in the next 5 minutes or so, and we can sort this out. Okay, that sort of informal personalized stuff. Crushes. So, what is the business impact here? Well, obviously, you're generating a ton of revenue. We just said 396%, right? You're reducing a little bit of costs. It's not that insane, but you can tie this into a follow-up flow, which reduces your sales people's needs to follow up on this stuff manually, and ultimately, you save a fair amount of time. couple of different models that you could sell this with. Um the first is you do some sort of initial setup fee and then um you have some sort of ongoing monthly management fee. You could also do this as like a oneshot and then you just give the customer all of the information they need to maybe update the prompt or update the framing of the messaging and the packaging and stuff like that. And then you could charge them some sort of ongoing monthly management fee as well just to update this and I don't know like build out on it. Usually a system like this um delivers such a return on investment for people that have inbound funnels that they're willing to invest very heavily in it in my experience. Just like the other one, I have you a little uh pitch over here. I have a bunch of remarks around the technical complexity and the market readiness. But basically, if I could just make a long story short here, this is a great system and it's something that a lot of people are selling right now. And because it delivers such a high ROI, I would rank this as an S. Okay. All right. Let's do

### AI Chatbot Lead Capture System [6:46]

more. This is an AI chatbot lead capture system. What system? This is where you get people on your website that are filling out maybe a form or something like that and instead of the form, you put a chatbot in front of them. So, a little widget in the bottom righthand corner that says, "Hey, you know, I'm currently online. How can I help you? " And the idea is this chatbot. It's usually like an AI agent and it can guide people through the sales process or your appointment setting process usually. Then ultimately, you end up with some sort of booked appointment. You usually build these out in NAN is the most common platform to do this sort of stuff right now just because it's, you know, relatively simple and straightforward to set up an agent and the idea is, you know, this will increase your conversion rate and so on and so forth. Now, I am a little bit hesitant about systems like this because I've implemented them in a couple of businesses. they haven't really produced that viable of a result. There's a lot of demand for them right now. A lot of people are asking for stuff like this. But in terms of how like speced out all this is right now, I don't really know. I don't think it's super specked out. But, you know, I think the way that you sell this is with some sort of medium to high revenue impact if targeted properly and if your website has like massive flow of people coming in that are asking pretty mundane questions. So I think if you are very maybe specific about the audience that you sell the stuff to and it is an audience that is suffering from exactly that problem that I'm talking about. They have so many people coming in that are already interacting with some sort of agent-based thing. You know it's like customer support agents or customer service agents and you just start swapping that out for some sort of AI tool instead. I think that this can have a pretty high revenue generation impact. You just need to be careful with who you're selling it to and the promises that you're making people. Aside from that you are saving some costs as well because you are supplementing rather than replacing human interaction. So you're going to have reduced cost. The idea is higher CVR and then you know it's also going to save a little bit of time because you're going to handle some really routine inquiries with just a model. Okay. The way that I would personally do this is I would do an initial setup plus an ongoing management fee. That ongoing management fee is important because usually in my experience these things require a lot of tweaking. You need to make a lot of changes to the stuff over time. People aren't comfortable or happy with the language. They're always these edge cases that come up. So you're going to want to be on the hook for some sort of ongoing management for sure. And then yeah, I mean you know there are a couple of gotchas. You want specific high-intent customer interactions, also high volume customer interactions. And you also want to focus on businesses that already do this sort of lead qualification pretty often. And you don't just need technical skills to install this. You also need a lot of like understanding of what customers are looking for and how to build the prompt of the model to solve pains. All right, so I'd still consider this ready, but it's ready with caveats. You know, it works well for specific use cases, not really as a general solution. There's a way to sell this over here. Let me take this now and let's actually rank this. I would rank a system like this as of the time of this recording squarely in C. Okay, so in my humble opinion, this is just underneath the cuff, underneath the cutoff, I should say, um, where most people here should consider selling. So, I probably would not sell this if I were just getting up and running with an AI automation agency myself. And that's just because I've had some experience selling them, and things haven't really worked out. There are a lot of systems you could sell that would probably deliver more of a return. You know what I mean? Okay, next up are some

### Appointment Setting Agent [9:31]

appointment setting agents. So, similar to how we had a website chats agent back over here, what this is this is usually some other inbound inquiry. So maybe you have like a WhatsApp agent or telegram agent and the idea is this is like an AI agent that responds to inquiries from these and the goal is to try and book an appointment. Usually it has access to some sort of tooling or something like that to that purpose. And then after you book the appointment, you know, the idea is that this is going to increase your CPR and it's going to reduce costs. It's massively going to increase your throughput and stuff like that. Hopefully you guys can see at this point that there are still some caveats to agents like this just because, you know, if you're thinking about it, if somebody's at the point where they're considering wanting to buy from you, theoretically, they're probably the most valuable and the closest to actual money that anything will ever be in your business. So, it kind of makes sense that is where you'd invest your time and energy, right? The thing about these agents are they do a pretty good job and they are able to handle a very high volume of customer inquiries, but they're usually just a little bit worse than people are right now. They just miss a little bit of the nuance. Okay? And so if you have a 100 inquiries coming in and this agent's able to convert 15%. And then if you contrast that with 100 inquiries that a human is able to convert at 20%. This 5% is usually way more revenue value than the savings that you'd get out of not hiring people to handle these inquiries. Do you know what I mean? Like if this is for $1,000 product or something, right? 100 people at $1,000 product. That's $200,000. This is $150,000. You're sacrificing $50,000 if you think about it in your ability to convert. And you're probably saving like $5,000 or something like that in your net. So, it's a little bit nuanced, but the point I'm making is this revenue can be very high, but only really if done right. Um, the cost reduction potential here is high, but you know, you have to make sure to weigh that against the trade-off against the revenue. And then, you know, the client experience is still a little bit questionable. So, I don't know if I'd really dive super deep with this. As you guys could tell, um, the delivery model for a lot of the stuff tends to be similar. I charge an initial setup plus an ongoing payer performance, maybe some sort of booking lead, or we'll have some sort of like recurring management fee. Okay? Okay, I think there are a variety of ways to pitch this realistically, but this is probably what I would do. One of these two options. Either these two or these two. Okay, great. So, given that, where exactly would I rank this? Hm. Let me think. Oh boy, there's a lot going on here. Where are we going to rank this? Where's this one going to be? C D E F S tier. No, it's going to be Ctier. I'm going to rank this basically side by side with AI chatbot lead capture systems cuz theoretically these are basically doing the same thing. They're just doing it on different platforms.

### Client Onboarding System [11:51]

Okay. All right. How about client onboarding automations? So, what is a client onboarding automation? Basically, it's where you have some sort of new client trigger. So, a new client comes on board. Maybe they pay you. It's like a Stripe trigger or maybe they sign some proposal. It's Panda or there's something going on basically is what I'm saying. And then what you do is you send a bunch of onboarding assets. Onboarding assets might mean like a PDF saying, "Hey, here's all our company. " Or maybe it's an email saying, "Hey, you know, I need just need some information about your tour proceed. " Or maybe it's a form asking the same thing. Maybe it's a video. Right? The point I'm making is it just templates out the onboarding and then maybe there's some follow-up CRM stuff. So maybe it moves some CRM stages around. Okay, this is a very valuable automation because onboarding is one of the most important experiences to get right for most clients customers. And if you can do a really good job getting the onboarding, getting the people on ramp to working with your business, okay? If you can do a really good job immediately delivering some sort of return on the person that just spent the money, you know, minimizing their buyer remorse, showing them, "Wow, these people are really taking care of me. " you can usually massively improve retention. Okay? So, you know, you don't think this impacts revenue, but a lot of the time because you are increasing retention, you actually do see a massive revenue increase from stuff like this. When you nail onboarding, this is your business. One of my famous pipelines. These are people coming in. This is the value ad that your business does. And then these are people coming in. You just made a bunch of money. Okay? You 3x your return or whatever. This basically maximizes or improves the probability people are going to just come in again through your pipeline. They're not just going to like leave you and then that's it. You'll never get them. You're actually going to have some sort of retention occurring. Increased retention, increased revenue. Also, you typically have reduced costs. Again, why? Because you're no longer having people do all of that stuff for you. And people are just notoriously poor at like following and making sure that all the check boxes are ticked essentially in an onboarding process. So, as a result, things are usually a lot faster, a lot smoother, and you can allocate team resources and places that actually matter. Then, yeah, time savings are high as well. So, improve client experience because they still get the personalized touch and you also reduce the administrative work. And if you want to make this even better, my recommendation is when you have that new payment trigger and you send the onboarding assets, take the info from the sales call and actually use that to have AI generate you some sort of personalization to the onboarding assets. So now you're not just sending a templated form. You're actually sending a form that says, "Hey John, we'd love to get some more information about you. " These tiny little touches here or there, tiny little changes to the PDFs that you're sending, or maybe you create a custom notion page for the customer or something. This makes a really big impact on how they perceive their time and experience with the business that they're working with. Again, this is stuff that I use in my own business. It's stuff that I am selling people on while actively showing them what it looks like. And I think that's one of the most uh the most important things to do, right? Lead by example. Okay. So, here's the delivery model for this initial setup plus some sort of minimal maintenance. Okay. Uh realistically, client is going to know how their business works. So, you're probably going to get most of the information that you need kind of upfront here. What I would do is I would just give the areas to tweak in the system in order for them to be able to manage it and adjust it on their own. The cool thing here though is there's a lot of upsell potential because the second that you start touching onboarding, you start being able to touch everything else, right? Like if you think about it, onboarding is the first step of fulfillment. Then you have the actual fulfillment of the project, right? But if you could start templating out things here, there's no real reason why you can't start templating out things here, too, right? You could use AI to take a person's form input and then use it to generate some customized Google doc that you send them that, you know, runs them through how your company works. Why can't you actually just use that to like start doing some of the work too? Well, you can, right? So, this is a very easy way to like entrench yourself in a business become very sticky. All right, cool. So, yeah, you know, I consider this to be probably one of the more technically complex things to be honest cuz the second you start putting your fingers across all the different pots in the person's business, you know, you do have to juggle quite a bit. And yeah, market readiness, it's 100% ready right now. I use it all the time myself. A lot of high ROI businesses are using this right now to maximize the quality of the client experience. They basically automate most of their company. So, where would I put this client onboarding automation? I would put this as S tier. This delivers immediate return on investment, which is all we really care about. Okay. All right. What else we got? This is all we do, baby. Let's go. Sales pipeline and follow-up automation.

### Sales Pipeline & Followup [15:44]

Oh, this one's fantastic. What this is this is essentially you building an automated pipeline management system that when somebody comes into your flow, you add them to a CRM. Okay, let's um say trigger. Again, we have some sort of like new event. Somebody comes into our business, they fill out the form that we talked about with like the automated autoresponder. Okay, then you add them to the CRM. you add to some sort of dashboard or maybe database that tracks them and then it creates automated follow-up events. So, I've built this out a number of times on my channel. I consider this really high ROI, especially for high volume applications, so like recruiting agencies and stuff like that. Um, you do some sort of automated follow-ups and then you also have some sort of automated um stage changes. When I say stage changes here, the way that CRM work is that they basically a new customer comes into your CRM and then they are in the stage intake or something, right? And then the idea is your salespeople go every day to all of the customers or all of the prospects that are in the stage intake and then they try and pitch them to book a meeting. Then some of them book meetings. So they move to the stage meeting booked, right? Then some of them send proposals. So they move to the stage proposal sent awaiting reply. Right? There all these little stages basically in every CRM. Well, what this does is it basically just automatically manages all of that and it allows you to squeeze as much juice as possible out of the leads that have already made it into your pipeline. What you do is you say, "Hey, you've been in the meeting booked stage for 4 days and you haven't moved out of Well, odds are it probably didn't show up to the meeting or there was some issue. So, if that's the case, then we're going to send an automated follow-up email rebooking you or they've been in the send proposal stage for a week and they haven't really made any moves. Well, what we're going to do is we're going to have a system that just checks every day to see how long you've been in that stage. And if stage for more than 2 days or something, it'll send a simple SMS follow-up or email follow-up saying, "Hey, Pete, just wanted to double check how things are looking on the proposal. We good to go? If you have any questions, can I jump in there and add some more value? " You do that repeatedly over and over again and you can turn a conversion rate that might be I don't know 15% to 20% to something like 30%. You could literally double the whole revenue of the company by doing this. So very valuable stuff. Okay, as we see high revenue impact cuz CVR high cost reduction impact cuz you're no longer having sales people do all that manual follow-ups and then it also saves a bunch of time and chaos. Delivery model for something like this. I always do some sort of initial setup plus some sort of maintenance. Okay. And what I'll do is I'll actually take these and I will say, "Hey, I'll give you a discount assuming that we get on some sort of like retainer or in my case what I'm doing now more than retainers are like subscriptions. It's like a monthly fractional CO subscription where you basically get like a professional like me that just comes into your business, manages all your ops. We don't track hours or do anything like that. " Okay, so I actually use these as upsells and then I give people some sort of discount assuming they want to sign up to my package. So where would I rank the sales pipeline and follow-up automation? Well, to make a long story short, hopefully you guys are seeing some trends here. Okay, procedural flows. I'm going to need to make this a little smaller, aren't I? procedural flows that actually like directly interact with the sales systems. I'm usually ranking pretty high cuz once somebody's actually in your business, you can sprinkle in a little bit of magic with these linear and procedural flows, you can make people a lot of money. Notice how all the systems that I'm talking about here, the system back here, this uh pipeline CRM follow-up thing. Part of it adds to a dashboard for data visualization. Now, I'm talking about a reporting and

### Reporting & Analytics [18:37]

analytics automation, which presumably would take data from that dashboard. So, the reality is all of these systems are very intertwined. And the benefit to this business model is once you build one, well now you have five other spider web systems that you could build on top of that and add more value. So this is a good example of a system that adds value assuming that you've built people out that previous step. Okay. So what are reporting and analytics automations? Well, basically this is like some sort of like data monitoring. So you have all of those previous steps that I talked about. You have automated autoresponses. You have some sort of agent chatbot that's like logging people as they come in. What you do is you monitor all of these and then you add to some sort of database upon a trigger. This database is set up in a specific way. You might have three or four tables in the database. One might be like leads, another one might be sales, clients, another one might be projects. And what you do is every time there is a stage change in your CRM or project manager, every time a new lead comes into your system, you update it. Okay? And when you update it, what you're doing is you're getting you're updating data. Then you have some data visualization platform like looker studio or plecto or something that pulls from the database. And so in this way what you have is you basically have like a dashboard and that dashboard is constantly being updated every time anything happens in your business. Now this is quite valuable. I'm not going to say this is the most valuable because if you think about it this is not like directly related to the revenue or whatever. It's sort of like one step up and anytime you're dealing with like abstraction stuff it's harder to justify the return. But what you end up getting, you know, this is indirect, but you end up getting a company that's just a lot more data driven. When you have real-time visibility into every aspect of a business, if it's an agency or it's like a B2B SAS product or it's like some manufacturing business, some enterprise resource planning thing, if you have visibility into everything that's going on your business, I mean, how are you not going to make better decisions? So, you know, there's no direct revenue impact. Uh, I'll say everything's indirect, but you usually do have increase across all the metrics that you care about because you can log the CVRs across all your salespeople. Okay? You can see which sales people make sense to promote and send more leads to and which ones don't. Because you can log, you know, all the expenses and stuff like that, you can see which ones are actually driving an ROI. Because you can log things like average time to lead or whatever, you can significantly improve, you know, your top line, the number of clients that come in. Because you log things like your cycle time, okay, you can actually reduce your cycle time. Cycle time being the amount of time it takes to like finish a project after a project comes into your queue. You can reduce your cycle time and when you finish projects faster thing that nobody will tell you is because you because the throughput of the business goes up because you can get more projects in your queue in a shorter period of time. The company itself makes more money per unit time as well. Okay. So all the stuff is like indirect but um still makes a lot of money. Cost reduction high because it eliminates a lot of manual reporting tasks. So, you know, other businesses a lot of the time, like the old school ones, they'd have like monthly tasks where it's like compile all of the data, put it into a report, and then send it out to our clients or maybe we'll do some internal stakeholder meeting. Well, you don't need to do that when you have a dashboard cuz the dashboard is the report and it's updated and there's usually a little way to like, you know, change the time period on the dashboard. So, instead of looking at like last week, you look at last month. So it actually turns this thing which you know used to be a fair amount of labor hours realistically into something that's just like completely automated on the back end. Delivery model for this stuff is similar initial setup and then some sort of monthly maintenance. Okay. Um there's no real way to go like performance-based here unfortunately because we are just dealing with reporting and dashboard automation. But yeah I'm sure you guys could tell pretty straightforward pretty simple. Um all you do is you basically just log every event that's occurring in the business using some sort of web hook trigger. Where would I rank this? I would rank this as a B. Now, I'm ranking this as a B as opposed to these other ones that are S's and A's. Um, specifically because these this just doesn't immediately impact revenue. And anytime something doesn't immediately impact revenue, it's a little bit tougher to sell. Okay? Easiest things to sell are always the things that immediately impact revenue. Hopefully, that's clear because then you can say, hey, you know, I will deliver the system for you and I estimate that this will deliver a five times return on the money that you are spending with me. And that is the whole game plan. You give me dollar, I give you $5 back, right? If you simplify it. Okay, let's talk about

### Industry Specific CRM Systems [22:28]

industry specific CRM systems. Now, okay. So, what this is this is usually a template you will develop for a variety of industries. Let's say you have one for recruitment, you have another one for creative agencies like me, you have one for, I don't know, coaches. Okay? And the thing is, you invest a lot of time and energy into each of these templates. And the idea is you make these super optimized for the specific business that you're working with. So, you will build out an optimized recruitment CRM. creative agency CRM. You'll build out an optimized coaching CRM that just eliminates a big chunk of the administrative work. You optimize for the stages. Instead of being 50 unwieldy stages, there's five stages that actually matter. You build out simple triggers and automations, the dashboards and stuff that I was talking about earlier. You build all that stuff into these oneclick templates and then you just put them in front of customers and say, "Hey, this is a CRM that XYZ really big company uses or hey, this is a CRM modeled around, you know, the same flow that XYZ really big company uses. I'm super confident this will improve your bottom line by XYZ. " And because it's optimized, you're delivering more or less best practices for that industry. You're capable of driving a return. Okay? And then when it comes time to actually fulfill, what do you actually do? Well, it's very easy. You just basically like click the template and then like your delivery is like 80% done, right? What you do after that is you make some fine tweaks. Um because the customers always want like in my experience, I've sold a lot of CRM, customers just always want some sort of perceived control over the thing. It's sort of like um the old designer adage like the way that like high quality design companies work is they will and this is totally unrelated but they will make the design and they'll make it perfect and then they'll like kind of fudge up one tiny little part of it and they'll say hey here's the project here it is delivered let us know if you have any revision requests and the customer loves it and they're like god this is amazing but what's that weird little fudged bit you know in the corner hey can you do you mind changing that little fudge bit aside from that though everything's great and the idea is you want to give people some sort of autonomy or control perceived control in the process of project delivery clients usually aren't happy unless they feel like they were a part of something. So, um anyway, when you deliver your template, I guess what I'm trying to say is it's often uh despite being like perfect objectively, people want some changes to it, but you know, you still get 80% of the way there, those changes are only 20%. You don't have to build the whole thing from scratch, right? So, that's the value there. It's a little bit of leverage. Anyway, the impact on this I would call u medium revenue impact, but very high cost reduction impact, very high time-saving impact. Basically, the way that I see good CRM is they are like a lift mechanism. I don't know like if all let's say you have a bunch of KPIs or metrics here, right? 5%. 12% I don't know these are just random ass metrics just whatever. Uh what a good CRM will do is it will lift all of these. You won't do so immediately but it'll just make everything in the business just a little bit faster. It'll make all the costs just a little bit lower. Right? Delivery model for this initial setup. You need some sort of recurring management service I find because what you'll do is you'll build a lot of automations into the CRM and then the people will just be it'll usually be so unwieldy they'll have no idea how to like manage it all. So, the way that you sell this is you sell them on some initial setup. Then, in addition to the initial setup, you uh you charge them a monthly management fee. Usually, you do like a retainer that bundles in a bunch of the other automations that you'll put together. And so, it's actually difficult to sell this as like a one-off like initially. What you usually do is or what I will usually do is I will do like a proposal automation system first. Then, I'll be like, "All right, let me add this to your CRM. Where's your CRM? How does your CRM work? " Like, "Run me through your CRM. " And then they'll be like, "Well, we're currently using X, Y, and Z. " And it's like, "All right, well, why don't I fix that up, too, while I'm at it? " The second you get into their CRM, you start getting into like the client onboarding fulfillment like I talked about earlier. Then you get into like the project management fulfillment. Again, you become very sticky. Okay. So, where exactly would I rank the industry specific CRM system? I'd rank this puppy as an A. So, it's right up there with the proposal automation. These two are really weaved in together. Not as much revenue impact as the rest of these. It's a little bit indirect, but it's more direct of a revenue u boost than the reporting and analytics automation. We are making some solid progress here. Why don't I next cover the fabled

### All-in-one AI Agent [26:16]

all-in-one AI agents that do everything for your business? Now, I'm already on this because I've seen a lot of people on the internet recently talk about these all-in-one AI agents that will do all the bookings for you and they will manage all client communications and they'll follow up with your leads for you and blah blah blah. The reality is we are currently not here yet. We can't have an AI agent that runs our whole business and does everything completely autonomously because the reality of the situation is there's just so much context at the moment that these things are just not yet there. There are so many issues with this that it's hard for me to state every specific issue. But these models typically lack context regarding prior sales interactions. The value of a single lead is so high that if you miss out on an important piece of context, you will usually either burn the lead or just make that person not want to work with you. If they determine that it's an artificial intelligence talking to them and not a person, their reactions are usually not positive. They're quite negative. You don't want to burn people at the front end to your business. Likewise, if somebody's already sent you money, you definitely don't want to burn people in the middle side of your business either, like, you know, in the actual chunky fulfillment stage. If they think that an artificial intelligence model is doing the service instead of a human, and you imply that a human being would be doing it only to then outsource it to artificial intelligence models, people typically don't like that. They feel like they've been gotchaed. So basically the way that all-in-one agents work, the whole like mechanism by which they do is they're supposed to be leverage multipliers that allow you to do things faster, but in reality they end up just being very risky machines that because the quality of the I don't know the size of the LLMs and like the way that the prompts are set up for the most part and like the way that the agents frameworks are built, MCP is not really there yet. Um Google's agent framework You know, like the NAN agent builder is not really there yet. What really ends up happening in practice is it just ends up being pretty leaky. So, you know, if properly scoped and validated and targeted, you could have a medium to high revenue impact. That's what you could sell people on. But I don't really think that works that well in practice. Cost reduction just really isn't that high. I mean, you know, you might save a little bit in costs, but you'll also significantly reduce your closing rate. You'll significantly reduce like retention because the quality of the project's usually going to go down. Like, you know, a agents get you like 80% of the way there, I want to say, for most things. But the most important thing is the gap between 80 to 100%. Like you know the zero to 80 in any business is actually the least expensive. It's the 80 to 100% that's like the things that really matter and the reason why they're hiring you as opposed to just using one of these models in the first place, right? So I don't really have a defined delivery model because every time I've seen anybody sell one of these things, they generally just don't deliver a lot of value. I don't think that there is a good delivery model for these yet. And I think when we eventually we're at the point where, you know, these AI agents are good enough, which could be in the next couple of years, to actually do most things that a business would want to do. There will be out of the box solutions that will just manage most of the technical complexity for customers, they'll probably do that themselves. Okay? So, instead of you having to deal with this really high technical complexity, odds are they're probably just going to like get a software platform to do it. So, I hate to say it, but this to me is probably like E tier. We're going real low on the all-in-one agents. And you see this anytime there's like a hype bubble in any industry, right? Anytime there's you know how there's like races to the bottom? This is like a race to the top of like claims that like this agent does this, this agent does that, this agent does that. There becomes so much anticipation and expectation that your agent can eventually do everything that in honestly the people that you're selling to and then you know AI automation people just typically over they overexpect the value of a system like that. So I would not sell AI agents as of the current time of this video. I

### Recruiting & Candidate Screening [29:40]

remember I made a template on some Upwork AI agent a little while ago and then I played around with it a bit and you know I had some promising results initially and then I continued playing around with it and then after a couple weeks I was like all right what is the actual accuracy of this I should probably tabulate how many times this has worked versus failed for me or you know how what the return on investment has actually been right and I realized that this thing has failed more often than it actually worked so immediately after I just refunded everybody that bought my agent I think a lot of people are honestly in similar positions selling this as a service too so I wouldn't do it um anyway let's talk about recruiting and candidate screening automation. So this is more of like a hiring automation. What this is you know how earlier we had like that CRM? Well, there's also like candidate management systems basically and the idea is like you know uh HR or admin will use systems like this in order to hire people. What they are is they're basically CRM but for hires. They have stages like application form filled. They'll have another one like you know interview or pre-screening or stage three or qualified or disqualified or whatnot. And basically you have all of these stages and these stages for the most part are filled out manually right now by the HR admin or even like business owner if it's a small enough business. Now doing all this stuff manually and organizing all the candidates for any position it's usually like quite a lot of work. So what this recruiting and candidate screen automation does is it breaks these stages down and then it automates them. So what'll happen is inside of your CRM or your project management system or whatever, you will have some sort of trigger like a form fill. When the candidate fills out the form putting forth interest in the job, what you will do is you will automatically email them maybe asking for more information or something. Okay? When they fill that out, you'll pass the results to AI. Maybe AI will then do a first pass and score it out of 10 or something. Okay? Then you will use that to add them to a next stage. Then after you've add them to the next stage, there might be some human Q& A that sorts based off of people ranked, I don't know, 10, 9, and eight, and they just like ignore everything that's a seven or below. So now we've just, you know, significantly streamline the Q& A process for admins. Then maybe there's like a trigger attached to the stage change. So when the human changes the stage to the next one, maybe you send a form that asks for more questions or you send a calendar that has them book with a real human being to do an interview and so on and so forth. So, what we're really doing here is we're just streamlining with both AI plus automation and that's all that this system really does and it's a great system. I use it for myself when I hire. I sold it to many people. Um, systems like this work really well. So, what is the revenue generation impact on this? Well, it's not direct, but if you think about it, if you can hire better people and people faster, usually it's a better performance. Most people hire way too late. So most people will have a need and then they'll start hiring and then the hiring cycle takes weeks if not months and then they'll have a gap period of about a month or two where their needs aren't really fulfilled before the hireer gets up to speed and then the hire will you know be okay and then you know the need will be filled. What in reality most people should be doing is they should anticipate a need. They should say well I'm going to have some need in the next two weeks where I'm going to need somebody to do a bunch of admin and stuff because my business is growing so I should probably start hiring now. Right? What the system does, it minimizes the gap between when most people think about hiring and then when they actually get the hire. And it also reduces the probability, which is unfortunate it happens, where you hire a bad person, a person that doesn't actually deliver value to your organization, which you then have to let go and then you basically have to just repeat the cycle over and over again. Hiring is really hard. So if you can make it easier for people, there's some value in it. Usually very high cost reduction is the main thing. And then yeah, you know, automates very timeconuming aspects of recruitment. What's cool is you could actually sell this to recruiting agencies to sell to their clients and stuff like that as well. Recruiting agencies are obviously a really big niche in AI automation just because they're high volume. There's candidate opportunity, there's employer opportunity, and a lot of it's like email based, which, you know, we automate the hell out of here all day every day. But yeah, anyway, you could do some sort of initial setup plus a recurring management service. Probably the best way to do so because just like a CRM or whatever, there's a lot going on here and a lot of changes usually have to make. Um, you know, companies typically think that they know how to hire, but in my experience, they don't really know how to hire for the most part. That said, we're not seeing a direct revenue impact here because there's no direct revenue impact. It's mostly just savings. I would rank this right now as B. Okay, so we're seeing some trends here hopefully, right? The systems that you realistically want to sell and that are probably easiest to sell are ones that deliver return on investment and just like add immediate cost savings. The ones that are a little bit more iffy, you know, down here at C. They don't necessarily have as much direct or immediate impact. They're more flashy for sure, but um you know, the ones that are kind of the middle ground are things that provide some sort of revenue lift, but they don't immediately add return on investment. And then all-in-one agents are down here just because the current hype factor of this stuff is unbelievable. All right, what else we got? We are

### Customer Support Ticketing [34:10]

working our way through the stack. The next is a customer support ticketing automation. And this one is probably like the only one where you could actually use AI agents, I would say, to some level of return on investment. What is customer support ticketing? You know, like normal customer ticketing is where you have people that are interacting with your team through some sort of chat form or widget or something like that saying stuff like, "Hey, I found that uh I don't really like the software platform as much. " Or, "Hey, I just saw that I was build again, but I thought I canceled. " or hey you know can I get a refund for XY andZ and it just handles most of it automatically. This could actually be somewhat valuable. Okay so you have some inquiry and you can do this through a variety of ways right like we just mentioned it could be chat it could be form it could be email whatever but usually what you do is you pass that in AI and it's like a triage agent kind of like a you know at a hospital and the AI triage just tells you where it's going to be. So you know is this a refund request? Well if it's a refund request well usually refund requests are pretty simple to process. We'll just move forward and maybe do it all automatically. Is this a complaint? your feature request. Well, you know, we're gonna send this over to the engineering team or something like that. Is this a um I don't know, is this like some other right? Basically, a will triage and categorize it and then you'll have like purpose-built flows here to eliminate the human aspect of it or what I should say augment the human aspect of it to make things easier. Okay. Usually other is just a catchall where you actually send it like a human because you don't really know what the hell's going on. You don't want to like miss it. But um you know I'll give you a quick example of like the refund request. I mentioned this in a couple of videos, but Amazon's a really good example of this. Amazon basically has a very simple refund flow where it's like the very first thing that happens is you have a complaint about a refund. So it's like would you like a refund? You click a button. The second you click that button, okay, it triggers this flow. It says calculate how much money that they've spent with Amazon in the last I don't know 365 days. So let's say it comes out to $10,000. Then you calculate the value of the product which you know is usually just there but maybe they do some margin calculation. Then they say I don't know 50 bucks. Then you calculate all refunds sent to that customer in the last year which might be $350. Okay. And then they add product refund cost up. So that 350 is added to the 50 and the total refunds that they've requested in the last year are 400 bucks. And then what do they do? They just compare um of the $10,000 let's say that they've spent in Amazon. If they've requested less than let's say 4. 5% of the total revenue as a refund, which in this case $400 is, right? $400 divided by 10,000 is um like 4%. Right? and you say, "Well, if their current refund request is less than some number that we come up with, maybe 4. 5% or something like that, then automatically process a refund. " So, I can't tell you how valuable simple systems like this are because refund requests probably make up like 70, I don't know, I'm just throwing numbers at the wall. May maybe like 50% of all of like the messages that Amazon will receive. If you could legitimately just automate that and then only send refund requests to a human being when the total amount of the refunds that the customer has asked for is over a certain amount and then it starts being questionable like we should probably actually look into this like this is probably maybe illegitimate or you know this is actually a margin issue now then and only then by doing so you save a lot of customer hours. So this can actually be pretty valuable and agents are at the place where they can currently do that. Okay. But when we talk revenue impact wise you don't really see an immediate revenue impact. This just a customer support ticketing agent. You have higher customer satisfaction for sure, which is valuable, right? But the higher customer satisfaction does not immediately translate over to more money. You do have retention and but it's just downstream of the actual signup. But the main thing here is the savings, right? This these savings can be very high. You could legitimately cut off like 30% of all of your customer support staff. As you can imagine, in like a SAS business or something like this could be pretty major. Like you know if you look at most social media companies or most software companies or whatever it's really interesting because you'll have like you know 15 developers like a billion dollar business and then you'll have like 300 customer support staff members. So customer support staff is like the main payroll expense right? So something like this can actually limit a vast majority of them which is really nice. Make your business just a lot more efficient and then yeah you save a lot of time as well. Delivery model for something like this initial setup fee plus some sort of recurring management maintenance. Usually, you are justifying it with, I don't know, like if you lay off like 10 support staff because you have a system like this and you know, these people are usually paid, let's say, $2,500 a month, like you just made the business 25K, right? So, I mean, just keeping you around at like 5K a month or something, just charging 5K a month for this is already worth it. They're in the black by 20K. So, I can go into more detail about the specifics on this, but I'll let you guys do that on your own time. Let's rank customer support ticketing automations, shall we? I would currently consider customer support ticketing automations as Btier because again they don't have an immediate impact on revenue but they do improve things like customer satisfaction or whatnot which are pretty good. Okay, what else we got here? Looks like we got four or five more. Let's

### Outbound Voice Caller [39:07]

chat about the dreaded outbound voice caller. So what this is this is usually like some sort of Vappy or well I mean there's like 10 software platforms. I'm not going to enumerate all of them but you know this is like one of those like voice agent platforms. And then what you do is you just load a script or a simple prompt. This simple prompt just says, "Hey, you are XYZ person at XYZ company. You are currently trying to sell people on this. Your first phrase should be this. After that, see what the customer has to say and then I don't know um try and sell them on some appointment or whatever. " Okay, then the idea is you make a lot of money. Well, hopefully by now you guys could see why I'm skeptical about stuff like this. because if this is the first contact that you're having with a customer or maybe it's somebody that's actually warm that's actually like submitted some requests to you and you're giving them a call to try and like validate and collect some information. That's about as close as you can get to real money. So you know if you have real money in front of you if there's one thing you should actually uh you know spend human labor on it's like collecting the real money realistically. So I don't really think the technology is here yet for good outbound voice callers to be honest. I'll show you what people think. you know the think the revenue generation impacts really high and it is for specific use cases like I've run campaigns on this like hey for dental camp it's free electric toothbrush really simple outbound campaign right like that that's actually really simple there's minimal customization minimal whatever hey Pete just want to let you know we have a free electric toothbrush we didn't know how else to reach you so just thought we'd drop you this automated message if you want a free electric toothbrush then just make sure to get your uh next appointment booking in by September or something like that and if you want to give us a ring just um call back at this number you could actually just drop like voicemails like this you could simple outbound voice call flows. That that's valuable, okay? But it's very specific. What most people sell outbound voice callers as right now are they sell them as like cold calling agents that will like save, you know, you'll fire your whole cold call team. And it's like, no, that isn't how it really works. Um, we're just not really there yet. So cost reduction is medium because you have some sort of SDR reduced cost for initial outreach and the time saving is supposed to be high. Um, but all this stuff comes with caveats. Hopefully you guys could tell. You'd sell this with a setup fee and you could sell a fair setup fee if you're doing something like this and then some sort of u performance based ongoing cost. Maybe you could actually tie the voice agent with some performance basis to maybe how many people accept a specific offer. Although you will have to renegotiate that offer every time you change them. And then yeah, um, right now I'd say the technical complexity of actually making this work is pretty high because there's no real way like unless you are really fine-tuned with the prompts, unless you have like a very dedicated sales flow and unless you get like the super low latency models right now and just like optimize everything right out of the box, the likelihood that you are going to be able to outperform a human salesperson that is generating outsized revenue is pretty low. And because we're talking savings, which are a very tiny fraction of the total cost of like a very competent salesperson, usually the return just isn't there. At least not right now. So, personally, I would rank this as C-tier right now. Okay, it's better than, you know, the all-in-one AI agents. Hopefully, you guys could see, but it's not phenomenal. It's not

### AI Content Creation for Social Media Leads [41:48]

not it's not phenomenal. It's not perfect. Okay, the next system is an AI powered content creator for social media. Okay, what this is this is usually some sort of input. There's usually a form or maybe you're scraping blogs from competitors or whatever. What you do is you feed all that into AI. And there are variety of approaches to do this. I've done like cyclic content generators. I've done oneshot like idea based content generator, scraping content generators. You can find them all on my channel. I do a lot of these and then uh we have AI generate some piece of content and then we'll use um procedural workflow automation to I don't know usually post it or at least like ceue it up. The best performing implementations of this usually have a human in the loop that like they do some sort of Q& A here, some minor adjustments or whatever. As I'm sure you guys can imagine, this is like one of the main use cases of large language models right now cuz they're just like content creators, right? Content producers. The potential business impact of something like this could be quite high because you are driving some new leads assuming that the um content that you're producing is good. The cost reduction of a system like this could be medium because you're replacing certain content creation staff or freelancers. It's not all about replacing but you can think about it as instead of doing like 100% of three people's jobs. What you're doing is you're doing like 90% of like you know 10 people's jobs. Okay, this is leverage reducing the cost of labor. Okay. And then time savings can be high because there's uh typically a lot of manual work that goes into content creation and whatnot. And systems like this just eliminate 90% of it. As I mentioned before, delivery model for this would be an initial setup one-time project. You charge a fair amount of money for this especially for like content companies. I used to run a content company that scaled to 90k amount called 1second copy. And we use similar systems like this to remain very competitive and just deliver significantly higher margins than most other uh content businesses. And then um you know some sort of recurring management service to like fine-tune it. Uh you could also do an initial setup plus now that it's just coming to me some sort of like usage based. So you could also do like hey you know you want 100 blogs per month then now you pay X. You want a,000 blogs per month then you pay Y. Or you could give them caps um based off the cost of the recurring management. Maybe 100 blogs a month, $500 a month. After that you want more. You want a,000. I'm not going to charge you 5,000. I'm 2,500 or something. You could tear it up. Okay. Yeah. So um you know the technical complexity of this stuff can be pretty mo uh pretty chunky I will say depending on the platforms that you're posting to some of them like Facebook, Instagram and stuff have these like graph APIs which are just a massive pain in the ass to deal with. Obviously once you figure anything out it stops being that hard but just wanted to point that out. So I guess the question is where would I rank this puppy? Well as of the time of this recording I would not rank this S tier anymore. I would rank this as a tier. And the reason why is this is just a little bit divorced from actual I mean you know companies that actually generate leads through inbound will obviously benefit from this but um the value of AI content has gone down quite dramatically over the course of the last couple years just because people now have access to basically like wizard like godlike intelligence in their pocket at any point in time. So you know anybody can just ask a question about any subject nowadays and get like probably a good enough or high highish quality answer similar to what you would get on a blog. So I don't really think like written content and stuff like that is really all that valuable. And um I

### SEO Content Producer [44:53]

have another system here called SEO AI content producers. Uh the first one was for social media posting. This one is more for like blogs and stuff like that, but just for brevity sake, I'm just going to rank this one there as well. The two system implementations are a little bit different. I've done a lot of these on my channel though, so I'll let you guys check them out. But basically, the system just does the same thing. It just doesn't post it on social media, post it on your website or whatnot instead. So, you know, WordPress instead of Facebook graph API. Okay. All right. The last system I want to talk about is

### Deep Personalization Cold Outreach [45:16]

probably my favorite right now. A shame I left it for the end, huh? It's this deep personalization cold outreach system. What this is is, and this works really well when a company's already sending cold emails, is they're sending cold emails and they're getting kind of like mid reply rates, you know, and it's like it works. You scale it up, they make money, but it's not very good. What this depersonalization cold outreach system is before they send the cold emails. Okay, this researches the prospect, hits all their social media platforms or the ones that are relevant anyway. Google searches them. Hell, you can even have this like watch or transcribe podcast the person has been in and so on and so forth. Then it feeds all that information in to the cold emails. Then it personalizes it using AI. And now instead of it just being a cold email with a 2 to 3% reply rate, actually significantly improve that. You'd have like a 5% to a 10% reply rate because the people on the other end of the line don't feel like they're being sold to necessarily. They're feeling like there's a bit of serendipity here. They feel like you've actually like sat down, done a ton of research on them, and crafted an offer that's perfect or right for them. So, I mean, if you think about it, if we just went 2% to 10%, we've just 5xed the bottom line, right? Or 5x topline, I should say. That's massive, massive return on investment. So, this system is really, really popping right now. Everybody that's making money with cold email is is now employing and implementing some level of personalization. Some of it is very deep personalization. Some of it's not so deep, but we'll just bundle all them together. Revenue generation impact of this is very high. Significantly improves the cold outreach effectiveness. Your replies are going to shoot through the roof if you do a good job with this stuff. The cost reduction on this is medium just because it reduces time spent on manual research. If your team was already sending a bunch of like super personalized emails, then yeah, this is going to save you a lot of time and energy. If not, if they were just sending like blanket blast cold emails, then obviously it's not going to save that much. It's going to cost you a little bit more probably. And then um time savings are very high, right? Prohibitively timeconuming to personalize a thousand emails a day. Delivery model for this initial setup ongoing management. I uh missed one more I would personally do. some sort of performance basis because this is where you make real money nowadays. Oops, sorry about that. Okay, where you have an initial setup of the project. You might charge them, I don't know, two just 2K to set up a system that scaffolds this. Then you charge them, I don't know, like a 1k a month fee, something really low. And then you'd have some performance basis thing where, hey, every time I book you a meeting using this depersonalization system, you pay me 150 bucks. Okay? Then you book 100 meetings in a month, okay? which hopefully they're prepared for and they can handle. Well, now you've just made 15K plus the 1K, you made 16K. The overall cost and risk from the customer perspective is pretty low risk, right? I mean, it's $1,000. $1,000 means different things to different people obviously. Um, but um, you know, like uh, you can generate a significance basis here um, versus the ongoing management fees. And that's usually what I do because the deep personalization system is very new. It's obviously very popping. Not a lot of people are fully understand how to implement something like that in their companies yet. The technical complexity of something like this is pretty high I would say um because you need to understand like cold email in order to do it right. Like a big part of this and one thing that I'm seeing people kind of really struggle with is like your ability to succeed in cold email is actually not as much about the system. It's more about like your ability to write copy, the ability to hit pain points and the ability to like make the copy seem very customized and personalized. And you can't just offload all of that to AI. You do need to know what you're doing and like know the game of cold email. So if you really want to make this work well, you know, ideally you'd have some sort of background in cold email or you would have at least been sending cold emails for a few months by that point. This market readiness is massive. It is very high and there's a lot of demand, especially in companies that are already using cold email. So pause the video. Where do you think I'm going to rate this puppy? If you guys said S tier, you are 100% right. Okay. All right. Zooming out. Do I have any other systems? Nope. Believe I got them all. Cool. I did. Absolutely. These are

### Outro [49:05]

the 15 major systems that I'm seeing people sell right now. Hopefully, you guys understand my mindset and thought process behind how I ranked all of these. I think I I'm now coaching something like 2,600 people across both of my major communities, maker school and makemoneywithmake. com. So, I see people sell stuff like this every day. There are over 2,000 people actively selling products like this every single day. And this is for the most part like a pretty wide breadth of most of the systems that people are probably putting together. Are there other systems people are probably selling today? Yeah, for sure. Don't get me wrong. But do I think that those systems are probably just variants of these systems? Yeah, I also do. So hopefully this gives you guys an exhaustive look at all of the things that you guys can sell and why you might want to sell stuff like this a lot more than, you know, stuff like this. Okay, I'm realizing I didn't rank anything as D or anything as F, but I think that's because these are all conceptually very similar. Um, and you know, all in one age. It's just ain't it, dog. There's one thing you take away from this video is that they just ain't it yet. you know, focus on making a little bit of money with um these systems first. It's a lot easier. There's like a multiplier, right? It's probably like five times easier to sell these. It's three Probably two times easier to sell these. It's probably some like middling difficulty to sell these, then it's probably like five times easier to sell these, but these actually like really screw with the client, don't actually deliver return. So, that's my mindset there. You guys like this sort of stuff, you guys want to see other systems that people are selling or get actual templates and blueprints and all this stuff, definitely check out Maker School where it's a day-by-day accountability program that I use to walk you through everything, including a broken down list of steps on day 1, day 2, day three, all the way up to six full months of daily actionables on exactly what to do in order to get your first, second, third, and nth automation customer. If you guys are already running successful and profitable businesses, whether they're in automation or in other niches, and you guys want to look at how to scale that using AI and automation standardization or productization tools, definitely check out makemoneywithmake. com. It's the premier automation community that is currently capped at 500 that I launched about a year ago and that has tons of people making seven and eight figures. So, great network, great group of people. I do weekly office hours, so I answer all your questions live and we do live coaching. Finally, if you guys made it all the way to the end of the video and listened to me advertise the last two products, then you're real ones. Thank you very much for always doing that. And if you could like, subscribe, get me to the top of the algo, I will catch youall on the next video.