How I'd Make $12,373/Mo as an AI Consultant in 2027 (Course)

Nick Saraev· 28 min· 7,314 words· 33 min read· English ·Watch on YouTube

This is the full transcript of How I'd Make $12,373/Mo as an AI Consultant in 2027 (Course), published on YouTube by Nick Saraev. Every paragraph carries the moment it was spoken, so you can click any line to jump straight to that point in the video, search the whole thing for a word, or copy it out.

0:00So AI is automating jobs faster than your kid's mobile game asks for your credit card. And interestingly enough, in this environment, the job with the most long-term value amidst all the layoffs and everything like that is actually the job that helps people automate other people's jobs. The problem is almost nobody knows what that actual work looks like. Luckily, I do this professionally and make a boatload of money while doing it. And so by the end of this video, I want to show you exactly how to do this wonderful job of automating other people's jobs, also known as AI consulting in 2027 start to finish. So an AI consultant basically

0:36just, you know, connects with the business, talks to the business owner and various department heads and then determines what jobs within that organization can AI do that people are currently doing. Um, then you know, you help implement a system that does this, which really is way easier than it sounds, and you get paid for it. So it's very meta. uh you know as AI automates more and more jobs this is the job that does the automating you are consulting with people to help assist them with that you know I did this with an AI automation consultancy called Leftclick and we hit around $70,000 per month and

1:06there's a lot of demand for exactly what I'm talking about right now obviously every business owner and their mom you know has heard of AI's potential to revolutionize a bunch of business processes but most of them are not yet past the problem stage uh in sales that's just where you understand the problem but you don't yet have a solution. Uh, and so you know what what you do as an a consultant is you provide them the solution. This applies in small businesses but also enterprise. And Enthropic is saying basically the same thing. I'm pretty sure the CFO said something like enterprises want claude so much that it significantly outpaces

1:39anything else that we're providing. And you know most businesses haven't even started on that yet. You know everybody thinks they're AI native. They're not. Most people have no idea to what degree AI can do most of the work inside of their business as of right now. not even taking into account, you know, the developments and improvements of claude codecs and other harnesses uh over the next few months. I think it's really bad. You know, according to the US Census Bureau, something like 15 to 20% of US businesses actually used AI

2:07between December 2025 and May 2026. We're a little bit later on now, but even if we're at 30 or 40% actually using AI, that's kind of a small ask, right? When's the last time you messaged chat GBT or or pumped a search query into Google? And so the point that I'm making is despite people saying that they're using AI, they're not really using AI. So how do you actually do this? Um, as any great YouTube video does, I have a method for this. Uh, it's a fairly straightforward method and I use it a lot. The first is to find the bottleneck within the company that you're working with. The second is to

2:36use a process known as goal factoring. Uh, so you know exactly what to build and what sort of solution to provide. And then you actually have to build systems and processes that fix that, which I'll cover. Um, and then finally, once you're done, you you deploy it. You iterate using eval. And once you're done, you just sync that across everybody in the organization. So, I'm going to give you guys a pretty standardized process to do that. Don't you worry. And then we can rinse and repeat it as we continue to automate the rest of the economy. And funnily enough, only one of the six steps that I talked

3:02about just now involves the actual building. Uh I think a lot of people mess up because they believe that building is the most important part. Uh they're like, "Oh, I don't know how to use AI agents to do this coding and I I have no idea how to actually like apply or deploy systems." You know, dude, that's like 15 16% of, you know, what I just talked about. The other 85% just requires a little bit of common sense and uh a couple of fantastic YouTube guys to follow. So yeah, let's start with step one which is finding the bottleneck. Uh first what you have to do

3:27is you have to find a you know a constraint in the business. Something that you can meaningfully uh widen as you do with constraints to allow more total throughput to flow through the pipeline that is their business. Um and so if you're unfamiliar with this idea, it all comes from this lovely book written initially in 1984 called The Goal. Uh probably one of my favorites by a guy called Eli Goldrat. I recommend this 24/7. Uh Mr. Beast freaking loves this book. Uh I think Elon Musk loves this book. Like virtually anybody that you know builds businesses at any sort of high level and achieves anything like

3:58loves this book. So you should at least check it out. It's written as this really cool fiction book. And uh anyway, just read it. Great book. But the whole premise of this book is that systems only move as fast as their slowest and most constrained step. And so if you speed up just that step, okay, the entire business productivity multiplies proportional to how much you sped or widened that process. Now if you try and widen a step or process that is not the bottleneck, uh basically nothing happens because the system is constrained by the the bottleneck, not the thing, you know, later on or earlier on. So for example,

4:29let's say your business gets a tremendous number of leads. You've watched a lot of Nick Strive content and you know you're just the best on planet Earth at generating these bad boys, but your issue is, you know, despite you swimming in leads, it takes you, I don't know, 2 days or 3 days to reply to them. You know, they're just sitting in your email inbox all day. Well, the best advertising system in the world would not help you with that process because your your problem is no longer generating the leads, right? Your problem is actually replying to them all fast enough. And so in that example, you

4:56know, the replying to the business is fast enough. That would be the constraint. And so in digital businesses, you know, I find all of my bottlenecks with a very simple four-letter acronym uh that I call race. R stands for reach. A stands for acquire, C stands for convert, and then E stands for expand. So reach, R is where you get more eyeballs on the brand or the business. And so if the business is just not getting enough eyeballs for anything downstream to happen, well,

5:22your bottleneck is at R. It's at reach. Um acquire is where you turn reach into some level of interest. And so booked meetings or you know people opting into your form or maybe I don't know registering on your calendar. And so that business example that I gave you guys a moment ago where you know you're getting tons of top ofunnel but then you can't actually convert that into any meaningful thing. You you're just waiting on replying on people. That

5:42would be a problem of acquisition. Convert is taking all of the interest here and actually turning into money in your pocket. And so that's actually like the sales process. Uh and so that's you know your your salespeople's ability to close let's say 10 leads come in. Uh I don't know two out of 10 versus five out of 10. And then expand is where you take a relationship that you already have and then you improve how much money they paid you a aka you improve the lifetime value or LTV uh in business speak of that prospect. Now, as long as your system does one of these four things,

6:11okay, uh you're you're usually looking pretty good uh at least from like an AI consulting point of view. I'd say most people's issue is they focus heavily on things that are not uh race adjacent. That sounds kind of like it'll get me canceled. But, you know, you don't want to focus on the back end really of most businesses these days. You want to focus on the front end. And so, you want to focus on the reach, acquisition, conversion, or expansion because most businesses do not have problems with their ability to fulfill. They just don't have enough volume for that to ever be a problem to begin with. And so,

6:38you know, the very first thing you have to do is you just have to identify, okay, what is the actual problem with the business? It'll almost always be, you know, the reach, acquisition, conversion, or expansion. Do this well, and then you'll also be able to charge a lot of money for it. Uh, so, for example, I run Maker School. It's my 90-day accountability program where I guarantee you your first paying customer for a service like this. Um, as of the time of this recording, it's also on sale for 50% off. Uh, that will only

6:58hold for a couple of days, by the way. So, if you want to check that out, definitely check the top link in the description. Man's got to eat. But, uh, what a lot of people will do in Maker School, like when they when they come into the program for the first time, is they'll be like, you know, hey, I've I've been in AI consulting for the last four years and nothing that I've done actually works. You know, I've been trying to sell AI government compliance systems for the better part of the last like two years and nobody wants it for some reason. I don't know. And I'm

7:21always like, okay, like, do you think AI government compliance is the bottleneck for most of the, you know, companies that you're working with? And they're like, no, I just kind of picked it cuz it has a lot of syllables. And uh, you know, the answer is not really to pick something that has a lot of syllables. You want to pick something that actually hurts. So what you do, okay, as an AI consultant, cuz this video is all about the actual process of like delivering that. Um is is on your first call, you go through race one letter at a time and then ask for numbers or at least ask

7:46around numbers for each step. Uh and then the stage that has the worst relative conversion rate, the worst numbers there is almost always your bottleneck. Let me give you an example. Your digital marketing agency and you make like 50k a month or something and you come in a call with yours truly, Nick, because you're like, "Whoa, I want this guy to help me implement and in my business and everything's totally manual." like after you know the bells and the whistles, after I grease your reels a little bit, probably the first thing I'm going to be asking you is like, hey, so how many people like see

8:10your business on a daily basis? And they're going to be like, "What do you mean by see?" And I'm going to be like, "Well, like you know, what are you guys doing right now? Are you running ads? What's your marketing funnel look like?" And then they'll show me their marketing funnel. And I'll be like, "Okay, cool. So how many people?" And they'll say, "A thousand." And I'll say, "Wow, okay, cool. So a,000 people see XYZ digital marketing company every day. How many meetings do you book from, you know, the thousand?" And then they'll say, "Oh, we book 10." And then I'll say, "Wow, okay, cool. So you have uh you know about a 1%

8:32conversion rate between eyeballs to you know booked meetings which is a strong sign of intent. And so really what I did there is I verified their R which was their reach which was the 1,000 and then I verified their A which is um acquire which is 10. Um and so those are pretty on brand I would say with like digital

8:46marketing agencies around this size. That's not really anything that I would I'd be worried about. Um actually funnily enough most digital marketing agencies won't hit 10 meetings a day to save their life. They'll probably do like one or two a week. Uh but I digress. And so now in this situation you know I'm like okay cool. So, of the 10 meetings you guys get, like how many are you closing realistically? And they might say, "Oh, you know, we closed one." And now I'm like, "Hm, alarm bells. There's some problem here." One is like far lower than industry average of maybe like 25 to 30%. You throw them

9:12four meetings, they'll close one. And now I'm going like, "Okay, cool." So, like we have a very clearly an identifiable bottleneck. And then, you know, later on I'm also going to ask them about expansion. I'll say, "Okay, cool. So, like, you know, how many months does an average client stay with you? What's like the average turn? What

9:23sort of LTV or lifetime value you get?" And maybe they give me a number that's okay. What that means is like for that business, I don't really care about anything other than their close rate and their conversion rate. And so every conversation that I have with them from then from that point onwards will literally only be about the sales process. It'll be about like their sales training. It'll be about ways we could build AS systems to improve their ability to close. It'll be about like automated follow-up systems. It'll be about like good SOPs, uh maybe some sort of like teleprompter-l like script system that we can overlay on their on

9:49their computer. Uh and yeah, these are all systems that I've built for a variety of businesses. probably the most salient and and recent that combines all of those things is a company we took from 3 million a month to uh just about $10 million a month. So we 3.5x like a very critical bottleneck for them that

10:03was actually right around this area. Once we've identified the bottlenecks obviously like we need to do something with them. And so the next step is called goal factoring. And for anybody that doesn't know what goal factoring is, your trusty sidekick Nick is here to help. The name comes from the Center for Applied Rationality. Uh, I'm a huge nerd and so I spent a lot of time on these old blogs called um well they were like derivatives of this one blog called less wrong and anyway they made it seem really complicated but the the reality is it's a very simple process and it's a

10:29very powerful one if you understand it. So here's how it works. you have a goal. If you have a goal, you just ask yourself, okay, how do I achieve the goal? And so then you go one level down. And then you ask yourself, okay, so for all the ways that help me achieve the goal, how do I achieve each of the

10:40things that help me achieve the goal? And then you just continuously work your way down until you've literally arrived at like the base action uh that you can take in order to move the needle forward. So that sounds annoying. Let me give you an example. Let's say the client's bottleneck is, you know, reach. So the goal is thus more people seeing their ads on net, like more people more eyeballs on the company. How do you achieve that? Just ask yourself, how could I achieve more people seeing my business through ads? You know, I have

11:04an ad campaign. It's running right now. How do I get more of it? Well, you could raise the budget, right? Maybe you're spending $5,000 right now. Maybe you could spend 10. Uh you could add a new ad platform. Maybe instead of just Facebook or Meta or whatever, you're you throw in Google or YouTube. You could also give the current platform more ad creatives. And so maybe right now you're only kind of using a few types of ad creatives, but they're not super optimized. Maybe you could throw more at them. Uh maybe you could do the same thing with copy. Okay, so let's now focus on that like ad creative side. How

11:29do you achieve that? How do you achieve more ad creative? Well, what you could do is you could find the ads that already work and then you could write new versions of, you know, the hooks, the headlines, whatever the hell's in like the the the creative. Then you could remake a bunch of those video ads in new formats. And then it's like, okay, how do I do that? Well, first I have to actually find the thing. And so what you get from this whole thing is you get a massive list of small, very concrete actions. And some of these are

11:52going to be an awesome fit for Claude. And you can literally just copy and paste and feed this into Claude. And it's not that like Claude enables you to do this, by the way. Um, I've been doing this for I mean the better part of like seven years or so ever since I learned about it. Um, but you know, Claude definitely heavily improves my my speed and efficiency with which I can both goal factor and then obviously take any one of the actions from the goal factoring and then implement it. And so I wish this were more magical uh and more complicated cuz if it was I think

12:16I'd have more of a moat. But like guys, it's literally, you know, do this process which by the way might take you like 15 minutes just thinking really hard about this. It's not that complicated. sit down, think about it for 15 minutes, draw, you know, a diagram just like I did on the screen, and then take that diagram and just feed it into a clot and say, "Okay, like let's build an action plan on how to accomplish as many of these uh uh uh kind of actionables as humanly possible." Um, congratulations. You now will have systems that can help you with that. And, you know, if you're using a

12:42frontier model, like a really good frontier model, you know, probably more than an 80% hit rate right there. Okay. And then, you know, it's time to actually build the system. Claude does most of that for you. In our case, let's say we're building that system that expands uh, you know, some sort of client ad set. Uh, what you would do in that case is you would feed in all of the ads to Claude or another model. By the way, I don't want to be seen as like

13:02a Claude Stan, overly Claude Stan. Everybody's like, "Nick, you're sponsored by Anthropic, aren't you?" And I'm like, "Dude, I wish I was sponsored by Anthropic, guys. Come on, give me some shares." But yeah, so what you do is you take like the source ads in this case and probably the simplest way of doing it would just be like find other ads that are in your target niche and then literally just feed all of the images to Claude and say, "Hey, can you recreate these?" And then can you build me a really simple system that allows me to recreate these such that we only actually need to produce or provide one

13:28or maybe two highquality ads and then we can spin them into like 500. That way we'll be able to test them and then determine which ones have the highest conversion rates and then drop all the losers and then only show the winners. Congrats, by the way. you've just probably doubled or tripled your ad

13:40effectiveness. And that's super simple. You just connect Claude to the client's ad accounts. You can do that with a literal one button click on Claude desktop app called a connector that links Claude to an outside account. Like an ad account uh could be a CRM, could be Slack, could be Google Drive, wherever. So Meta, for instance, has a Meta Ads AI connector. They just launched this I think back in April or May. With that, Claude can now build detailed reports. They can also like legitimately use meta API key uh uh equivalent actions to like create ads, upload them and stuff like that. And then, you know, we just give it the

14:09goal. My prompt for something like this would literally be connect to this client's meta ad account. I want you to pull a report on every active ad from the last 90 days. Then I want you to group them based off some sort of category. Find the top ads by cost per lead. And then for every top ad, I actually want you to write five new versions with hooks, five new headlines, five new pieces of primary text, and maybe like a couple of different slight massaged variants of the offer. Once you're done, create them in the account as paused ads, so nothing actually spending anymore. And then give me a

14:38summary of what sort of changes you made, why, while you're doing this, I want you to go out and find a creative using Facebook's ad library. You know, go find ads that seem like they would make sense to duplicate or try and parasite. uh you know, take screenshots of those ads and then use those as creative. Once you're all done, I just want you to give me a breakdown of virtually everything that you know, you created, then I'll just QA it before checking a box. And then like, you know, we might have legitimately doubled their business right there. Uh and I say that nonpiciously. Some of these fruit,

15:07ladies and gentlemen, are so lowhanging a child could pluck them. And I don't mean that to say like what we do is not worthwhile or valuable. You must understand that a big chunk of our value comes from simply existing outside of this business. Like if you're a business owner, and we're we're all business owners in our own way, you spend so much of your time inside of the business that you know, your head's down, you're kind of like in in a well, uh rarely can you actually like take your head out, take a deep breath, and go like, "Holy

15:32where the hell am I? What am I doing?" Um and so you as a third party observer, you don't have that bias. You can come into a business very clearly see, okay, what's the problem? How can we achieve it? What are the concrete list of actions? And what'll happen if I just feed this to the best frontier LLM? Not to mention, that's like typically what you get paid for. you can actually make an incredible improvement or process uh uh both on the process side and just more generally to virtually any business you work with. Um which is why I typically offer insane guarantees like I'll guarantee you $50,000 in the next

16:0060 days or you don't pay anyway. Yeah, from there you're just you're literally QAing and then voila. Um you just get the stuff that worked and then the stuff that doesn't work just turn it off. After that we need to deploy this uh so it's not just like a one-off thing that I did. It's actually a system uh you know that the client can rinse and repeat on their own. And the reason why we do that is because like I want to give them intellectual property obviously as an a consultant which is itself quite valuable as an offer. Um but two we don't really want to be the

16:23bottleneck ourselves. Like if you think about it like I'm sure you'd make yourself you know kind of kind of needed but you wouldn't be very useful if every time the client created an ad they had to call you up and be like yo Pat could you run the thing and then you just copy and paste the same prompt. Like sure I mean I'm sure you'd keep a job for probably a longer time than if you just gave them all your intellectual property

16:41but it wouldn't be a very valuable job. And you know at the end of the day you're in business because you want to provide value. So long way to say you got to deploy the automation. How do you actually deploy the automation? If it's procedural that means there's no AI in the flow. You can actually just like tell Claude Codex or whatever your agent is, hey I want you to like upload the the scripts that are involved here somewhere on like a NeoCloud. That's the term to use, NeoCloud. And then it'll actually like go and requisition some cloud space usually with a bunch of generous free credits for you on a

17:07platform like modal or maybe trigger. Whereas if an AI is woven into the flow, uh which you know our ad system for instance would have been right now you're going to want to use something like a cloud routine or maybe a scheduled task. So cloud code specifically has routines now uh or cloud scheduled tasks. And what a routine is is it's where you run something once like we just did. You consolidate it into a skill, which is the same thing just written out as a standardized operating procedure. And then they take that same thing, connect it to all of the apps and tools that you need, and then pop that puppy in a cloud

17:39container and then run it automatically on a schedule for you, maybe like once every morning, maybe every time a new ad is uploaded or something like that that that cloud doesn't recognize. Uh, and so that is super valuable and it's very very cheap. And assuming that you do this with a business, you know, you can you can build like 20 or 30 of these things that just operate completely independently of you yet do work that you can attribute which you know as an AI consultant who probably wants to build MR and stuff like that uh is very very valuable. Typically the way you do all this nowadays just from a logistical

18:07POV is you will get set up in like a cloud teams or a cloud like enterprise account and then either you will be the administrator or maybe you'll like share the account at least temporarily. Uh, and then what'll happen is you'll you'll do all of this stuff in like the client account and then set it up. And the reason why you do that is because a lot of the time like you're going to be

18:23working with multiple people, right? Like you're probably not just working with solo printers. And so because of that, there'll be team members that are going to need to use the automations or or AI agents. They're going to need to check up on them and so on and so forth. Um, and so yeah, I would highly recommend a team account. Don't take it from me, but yeah, just another feather in the cap for why Anthropic should hire me to do their goddamn marketing. Cool thing is you only ever need to do this one time. uh once you're done, you know, you have like the processes set up and

18:43then you can actually like like legitimately give people the claude routines. You can give people skills based off the cloud routines. That's very attractive to a client, right? We're building infrastructure for them. Most consultants just talk about stuff and give people reports, but because claude is now like the fingers of the hand, you can very easily go one step up and just turn all of your processes and and sort of ideas and designs into real systems that work. Um and then on a pitch, you could say, "Hey, my whole thing is I want to give you all of the, you know, intellectual property. I want to give you all the systems and all the

19:11infra. I want this to be able to run with or without me. And I definitely do not want to be a bottleneck in this process whatsoever. As much as I like working with you guys. Um so, you know, I'm going to jump on a call with you at the beginning of our engagement. On that call, I'm going to get set up on all of your accounts. We're going to set up like a cloud teams or cloud enterprise or you know, a codeex equivalent. Uh and then once all that's done and I've done the 2FA and everything like that, that's it. We are good to go. After this, we

19:31need to iterate. And so, the best way you iterate, which nobody will tell you because most people don't fully understand this, is with evals or evaluations. And so eval are like a suite of tests that you give to whatever system or routine or skill that you've created that basically just allow you to be more confident that the skill is actually good or you know realize that it's actually bad. And so the reason why you need this is because AI models don't just provide one output every time you run them. They run a distribution of outputs. And so what that means is like you could technically speaking get a

20:02really good output one time, but if you run another five or six times, maybe like three out of the six are actually really really bad. And so it's the distribution that's important and there's a lot of variance or range between like a really good output and a really bad output. And so a good routine, a good automation actually minimizes that range conceptually. Um, but there's no way for you to know what that range is unless you actually test it a bunch of times. And so rather than just testing it once and be like, "Okay, cool. The ad creative worked." You need to, you know, test it 10 times and then

20:27as a human in the loop when you do your QA, you actually need to like rate it out of 10 and then use that as like your average score. And that means that later on when you change it or improve it, when you rerun the test again, you can feel very confident that what you've actually done works, right? It's not it's not just like most of the oneshot prompts that you see on YouTube or X are. If you're working with like larger enterprises, you definitely want to standardize this and then scale this big time. Uh where you run like all of your skills and all of your SOPs every

20:55time a new model drops or or you know, you guys come up with some sort of approach, a new harness. Um, and then in that way you'll basically do what's called hill climbing where you just like slowly optimize and work towards a better solution. This actually really doesn't cost that much money like additional usage. And usually the opportunity cost, which is the money that you lose not doing this, vastly outweighs, you know, whatever money you're actually spending in tokens doing the damn thing. Finally, you're going to have to do some sort of team sync. Now, I don't know about you, but um, I prefer my AI agents to people for the most

21:20part, at least like colleagues. You know, I don't really like being around there training people hands-on and stuff. I'm looking at a damn black circle while saying this, right? Like obviously, you know, working in teams and stuff is great, but there's also a lot of problems uh working with teams. And so I bring all this up to say you only really ever want to solve the team problem once. You don't actually want to be on there like doing the training all the time. What you want to do is you want to build a container for the team to do their own damn training, their own damn upskilling, and their own damn like

21:44distribution of knowledge throughout the organization. And that's really just what being a good business owner is, right? You're just building like irrigation canals or pipelines that distribute information from like, you know, the presumably the person that runs the business to other people and key decision makers in the organization to other people. And so what you should keep in mind is with all these routines and skills that you're building for this lovely company, what you want is if you have a big team, what typ typically happens is some people are much more AI native than others. Uh and so some people will just like do way better than

22:08others. And what you want is you want a system that transfers the knowledge from the top performers to lower performers routinely before the weakest performers drag the company down a ton. And you'll find that the weakest performers aren't always the weakest performers. you know, some might just suck at specific skills or specific things that you know, you do with the business, but then thrive in other roles. And so, the things can happen kind of back and forth and back and forth. And so, really what I'm saying is you need to set set up some sort of like skills sync or some AI usage sync where you can transfer like

22:37the things that the top performers in the organization are doing to the lower performers. Um, and and here's how I typically recommend structuring that. Typically, it's like a weekly call. You know, it's once a week. If you have multiple departments in your organization, if it's like pretty big, you know, if you got like let's say over 50 people or so, you can't just do this on one call. Pods somewhere between like five to maybe 10 or 12 people are the best. What you do is you find whoever got the best results on the previous week's tasks and then you ask ask them, you ask them to walk you through exactly

23:03what they did and how. Um, and then if they have chat logs with codeex or cloud code or whatever, you you can actually take those chat logs and just say like, "Hey, audit these chat logs to determine like the implicit SOP or implicit process here." and then I want you to turn that into a new skill or update the skill that you already have that everybody else is using and then we can actually push it out to everybody on the team. And we do that with like cloud the teams plan. Uh whether you're using cloud co-work or just cloud chat or cloud projects or cloud code. There's

23:28like a bajillion products nowadays obviously. So make sure to read through those docs that's for sure. But whatever you're using like you can just push the scope out to everybody else and then just like have everybody know that. I know this sounds super simple and it sounds really basic but again this is one of those things that like most companies just don't realize. You know some will try doing it like 10 times a day. Uh but I find just having a simple weekly process is the 8020 by far. And then it distributes information across the organization. Also ensures no organizations ever get really spiky. Uh so I've done this at multi-billion

23:53dollar businesses with you know hundreds of staff members. I've also done this at like small to mid-size businesses where there's just like you know three to five people. Some sort of sync is required. And as an AI consultant you know your duty is not just to the business owner really. I mean it is if you think about it but like your your work will not just

24:07sort of be used by the business owner. it'll be used by multiple people within the organization to produce results for the business owner, right? That's kind of how that works. So, your whole task really is like, how do I utilize all the resources at my disposal? That's a really easy and straightforward way. Okay? And then once you're done, um, you

24:21probably don't show up to those calls. I've had a bunch of people try and get me to show up to the calls to facilitate, but I don't really do that professionally anymore. Once you do that, you just rinse and repeat, and then you just kind of go back and forth and back and forth and back and forth. Uh, you know, Eli Goldrat, the guy that wrote the book that I was glazing really hard there, the goal, his last step in this big process is to prevent inertia from becoming the constraint. Uh, what that means is when you fix one bottleneck, a different step usually becomes the next bottleneck. Totally

24:47normal, but it does mean that you as an AI consultant just need to like change what you're working on. And so, you know, you could do like a bottleneck review a week, bottleneck roll out a week, you could structure it in hours, you could structure your relationship or retainer however you want. But, you know, that that's one way to do it. And that's the way that I I personally like to do it. Uh and it's worked really well for me. Okay. So, what are some things you absolutely need to have in place to make this work? The first is, you know, a lot of people will try automating

25:09broken processes or processes that just don't deliver any ROI. As mentioned, uh I would focus 99% of your efforts on race. So, reach, acquire, convert, or expand. You know, if you're not working on one of these four things, guys, you're sisphus, buddy. You're rolling a boulder up a hill for for no reason. And that thing is just going to fall right back on top of you. The only way to I think like really generate a healthy return here is to make sure every hour that you spend helping other people with their business is one on a bottleneck and two that bottleneck is growth. The second issue is if you're working on

25:36systems that nobody is sort of responsible for. Um what I mean is like if the system is new like if it's a system that doesn't exist in the business and you're proposing one, uh you're not going to be as good at that because technically you're now not like you're not automating something. What you're doing is you're inventing something. And so I would not recommend inventing new systems as an AI consultant. As cool as that might be, I would work primarily off of systems that have proven to work before. And then if they've proven to work, you know, at 20% of their total potential, then try and

26:02make them work at 100% of their total potential, right? Don't like invent new things. If you're inventing new things, you're not like a a consultant really. You're more of like a developer, maybe even like some sort of like SAS dude. Uh, and then the third thing is like if you don't track the business. So, uh, I ran into this a lot like early on where I personally wasn't tracking a process and then the business processes that I was attempting to consult on were also ones that didn't have any tracking in place. The reason why this sucks is kind of like job security. If the business doesn't know how bad they're doing, then

26:30when you come in and deliver what is very clearly incredible results, there's always quite a lag time before that hits their pocket. And between when you started delivering those results and when that actually manifests as like profit for the end user, uh, you know, a lot of the time there's like, "Hey, Nick, what the hell have you actually done in organization? Hey dude, we've been talking about this for 2 months now. Nothing's really manifested or resulted." I' I've gotten this a couple of times and yeah, it just all boils down to not having like strong measurement practices. And so if the process that you are attempting to fix,

26:56if these bottlenecks themselves are not measured and you're on a call with a customer or a prospect that you want to turn into a customer and you're like, "Hey, so how many eyeballs do you get in your business?" and they're like, "I don't know. Let's find out right now." Like, that's not a process you really want to be in. And if you are in that situation, then I would just make it clear at the project outset. Like, we got to measure everything. The whole goal here is I need to show you my results in order for you to feel comfortable paying me. Ultimately speaking, the tools will continue

27:21changing, but um what I just talked about in this video virtually never will, at least not until, you know, the economy itself is completely and utterly outsourced by small little run-like circuits inscribed on purified sand. Uh, and at that point, I think we're we have a bigger question, let's say, a bigger problem that we might need to to to figure out. Okay, so hopefully you guys appreciated this video. Trying a different style today. So, if you guys like that sort of thing, let me know down below and I will do far more of them. Uh, if you guys want help finding your very first AI client, that is what

27:51my community maker school is for. That's my 90-day accountability program. If you guys don't land a customer in your first 90 days, you will actually get your money back. Some fella will magically click the refund button and and send it right back to your wallet. So yeah, I'm very confident in that offer specifically because virtually everybody that joins this group will find a tremendous amount of ROI in it. Uh, and that could absolutely be you. Otherwise, thank you for watching. If you guys like this video, please subscribe to the channel. For whatever reason, like 50 to 60% of you guys don't. Maybe it's my hair, I don't know. But yeah, if you

28:19ever have the chance, then definitely click that subscribe button and have a lovely rest of the day. Thank you.

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