Paste it into ChatGPT or Claude and interrogate the lesson in your own words.
What if you had a map, and that map told you what AI system to place and where to place it within your business today? And what if it told you exactly who to build it for, whether it is leads, customers, clients, or prospects to gather testimonials? And what if it achieved the outcome you want, the one AI promises, which is more money and less time? It would be amazing, right? Life would be so much easier. That, my friend, is exactly what I want to share with you today.
So we are going to do it in three main sections. Point number one, I am going to give you the buyer's journey, the step by step: the stages a buyer goes through to pay you money, and what comes after that. Once we set that journey, I am going to give you proven systems that we have built for businesses, and for ourselves, to achieve the outcome or help the transition within this journey. This is one of my favourite topics. And point number three, I am going to show you how to find the leak within your business, so you know what to build, where to build it, and for what stage. If you want a PDF copy of everything, click the link below in the description and you can get it.
So everyone is telling you AI employee, AI workforce, AI agents, AI organisation, my AI marketing army. You see it on YouTube, on thumbnails, on Instagram, everywhere. Everyone is talking about all these things, but what does it actually mean? I struggled with this myself. What is an AI workforce? What is an AI company or organisation? Do I just bring AI and plug it in? What do I do with it? AI is not just some random tech or a CRM you buy and drop into your business. We talked about the mindset shift before: do not treat AI as a tool, but as something that compounds. AI can bring you revenue and give you more time, but done wrong it can bring more chaos and actually cost you more money and time while never giving you the outcome you want. I learned this when I stopped selling it as tools and started looking at it as something that achieves the outcome, for me or for the business.
And this is where everything starts: the buyer's journey. This has gone through a lot of iterations for me. I have overcomplicated it, I have oversimplified it, but this form is the one that has worked for every type of business I have had and worked with. There are three main stages: before the trust, the buying moment, and after the sale.
Before the trust, you have pools of strangers. Strangers can be online or offline. Offline is events and conferences, where people see you as a stranger, shake your hand, and you talk with them about your business. Online is social media, like YouTube right now. Maybe you are a stranger who just saw this video for the first time. These strangers have an opportunity to become followers, subscribers, or connections, whatever is platform specific at this point. And then a follower or stranger can become a lead. A lead is a person who has given you permission to speak with them, meaning you can DM them, email them, whatever it is. So before the trust: the stranger says "I don't know you," the follower says "I know you now," and the lead says "I raised my hand, I showed some interest, I want to know more about what you have, but I am not ready to buy yet."
Then the buying moment is when a lead becomes a qualified lead, thinking "I might buy," then a hot buyer, thinking "I want this now, I really need it," and then a customer once they have bought something. A very important point here, because when you are designing sales systems, sales AI systems for your business, this is what you notice when you extract transcripts from the Fathom calls, from the sales calls: the person before the call is not the person after the call. Those 45 to 60 minutes actually change a person. Someone can enter the call saying "I am never going to buy from you, I just saw you online, I just wanted to see what you have," and after 45 to 60 minutes, and it is your job to do this, they may say "Please take my card, I want to buy right now." That is the buying moment.
And after the buying moment comes the client: "I am being served right now." The result is "I got value." A case study is proof, and you feed that case study all the way back to the stranger. So at every stage there are certain needs for the business. At the start it is lead generation: how can I turn attention into leads, people giving me permission to speak with them and make them offers. Next is how can I give them enough information to trust me enough to reach that buying point, which is the lead response and the follow-up and CRM systems. After they have paid you, which is a pivotal moment, it is: how do I onboard them, how do I do the automations, the reporting, how do I capture the testimonials, and how do I deliver the service efficiently and effectively through the systems and the AI systems, so I reduce the cost to myself and serve more people with the capacity I have today? And then you feed everything back to lead generation and go through the loop. This is the most important thing. Every time I get lost in the AI world, I come back to this. Just write it down on a piece of paper and note your process based on the buyer's journey.
So point number two is the systems. Within each stage there are systems. These are the systems we have sold many times and added within businesses, because there is high demand for them, whether it is real estate, clinics, professional services, agency owners here in Dubai, or e-commerce businesses. The first is lead generation: you get strangers to raise their hand and say "I am interested," turning cold attention into leads. Then the lead response system gets leads to become hot buyers: how can we give value, automate the value, to turn a cold lead into a hot buyer? How do we get them to make micro-commitments, to book a call, to have enough information to make a purchase decision about the product or service we have? Then we have the follow-up and CRM, which takes the hot buyer to become a customer. A customer is someone who pays you one time; a client is someone you serve over a longer period. So how do we build the CRM, track all of this, follow up, and know automatically how many touchpoints we had with this individual? System number four is the operations system: how do we onboard them effectively, give them everything within the first seven days, what is the email sequence, how do we make sure we are on task, delivering on time, everything documented, and how often do we update people? This takes your service or product to a professional level. And then reporting: how do we take the results and everything we built through operations and turn it into a report, something nice we can present to strangers so they get interested and we generate more leads. It is a flywheel by itself.
So these are the systems we have been selling. If you are now thinking "I want to add AI within my business," ask: where do you add it, for whom, and what exactly do you need? What is missing? What KPI is down right now? So here is an example of how to find the leaks. If not enough people know you exist in the marketplace, you most probably need a lead generation system. If people follow you but never ask about your services, lead generation. If they ask about your services but never show much interest, lead response. If you reply to them but they never book a call or qualify, also lead response. If you have qualified leads but they go quiet and no one follows up, a follow-up system. If you close deals but onboarding is chaos, an operations system. You get the point.
The point is, do not build one system for everything. One system serves one stage, one leak, one function within the business. And the most important point is this: when you fill the gaps and build those systems, if you just make up a system on the go, it most likely will not work. It will not fill the gap or close the constraint you have. Because what we are doing with AI is amplifying. AI is just leverage to make proven methods work better. We use AI to run proven methods. For lead generation, we know cold email works for a particular industry, so we scale that with AI. In e-commerce, people talk about UGC ads, user-generated content built with AI, and that works, so for e-commerce lead generation we use that because it works in the marketplace. So whether it is lead generation, lead response, follow-ups, or operations, you use what works right now in the industry and plug it into that constraint. And you do it right. When the process is complete and you have done everything professionally, only then does it get you more leads and activate that flywheel effect.
Because when the result is complete and you have done everything properly across all the previous stages, lead generation, lead response, and so on, then the reporting has extremely high value to turn into a case study, since you can feed it all the context, all the touchpoints, everything you did to take this person from a stranger to a case study. That is a big piece of content, or whatever asset you create, and people trust you faster, so you get more leads for less. And the one who can pay the most to acquire a customer, while getting leads the cheapest, wins the market they are in.
So the whole map is this: think in systems, not services or tools, when you add AI. Always think about the journey of the person, where the stranger is going, what the sequence is, and then think about the systems attached to each transition between the stages. Find the leak within your business, or in other people's businesses, and add proven things. Do not experiment as the main business. If you want to experiment, fine, but keep it at 20%. 80% should be proven methods that close a specific constraint. And keep looping this, feeding it back to strangers, to get more systems, more leads, and more clients. This is your map. So the question I would ask you is: what is the leak you have right now, and what leak are you closing today?