This Revolutionary AI Business Model Will Make Millionaires in 2025

Summary

Highlights

• Arseny predicts AI agents can redefine business operations by 2025, making it possible to automate tasks without human intervention 🤯.
• The rise of affordable LLMs is fostering a shift from SaaS to more interactive and efficient AI-driven models 🌐.
• Vertical agents are quickly deployable as they're pre-trained for specific roles while horizontal agents offer flexibility by allowing customizations 👨‍💼.
• Understanding the difference between vertical and horizontal AI agents is key for anyone looking to tap into the AI business model 🌟.
• The growing AI market is still in its infancy, making early adoption a lucrative opportunity for aspiring entrepreneurs 🚀.
• Case studies show vertical agents succeeding in niches such as sales, construction, and regulatory compliance by automating complex processes 📊.
• Arseny provides a unique roadmap to building a vertical AI agent, emphasizing the importance of starting with a framework and scaling operations gradually 📈.
• Creative pricing models in AI allow businesses to charge based on usage, outcomes, or even a hybrid of different models, enabling maximum profitability 💰.
• A fascinating interview with Chase, a successful entrepreneur using AI voice agents, showcases practical applications and the potential of AI to scale operations 📞.
• The future of AI in business includes potential self-improving and self-creating agents, blurring the lines between vertical and horizontal models 🤖.

Key Takeaways

• AI Agents as a Service (AaS) can potentially overshadow the SaaS model by automating entire business processes with minimal manpower 🌟.
• Vertical AI agents are niche-specific, offering quick deployment with pre-trained capabilities while horizontal agents are versatile but require more customization 🤖.
• Building effective AI agents involves understanding industry-specific SOPs, accumulating internal data for training, and choosing the right development approach 💡.
• A successful AI agent business doesn't necessarily require technical expertise but benefits from a strategic partnership with experts in various fields 💼.
• AI agents allow for creative pricing models based on licensing, usage, outcome, or hybrid strategies, with potential for higher returns through result-driven metrics 📈.

Overview

Chapters

• 00:00 - 00:30: Introduction to Revolutionary AI Business Model This chapter introduces a groundbreaking AI business model that has the potential to create millionaires or even billionaires by 2025. It suggests that this model could overshadow or even replace the currently successful Software as a Service (SaaS) model, which represents a $300 billion market. The video promises to explain the new model in detail.
• 00:30 - 01:30: AI Business Model Details and Opportunities This chapter provides a comprehensive guide to understanding AI business models, specifically catered to beginners. It offers a detailed, step-by-step roadmap to capitalize on AI opportunities before they become mainstream. The chapter concludes with an interview featuring a successful individual earning $50,000 monthly by implementing this new AI business model.
• 01:30 - 02:00: Personal Experience and No Course Sales Intentions The chapter focuses on the personal journey of the speaker, who has been developing AI solutions over four years. The speaker's agency was among the pioneers in creating AI agents for global businesses, using a proprietary AI agent framework. Contrary to common practices among agency owners on YouTube, the speaker has no plans to sell courses or paid communities in the foreseeable future. Instead, the speaker emphasizes a commitment to teaching and applying the methods discussed in the video to their own practices.
• 02:00 - 02:30: Apology for Content Slowdown and Relocation Update The chapter addresses the subscribers' concerns regarding the recent slowdown in content. The creator explains that they are in the process of relocating to Dubai, which has affected their production schedule. Recording is currently happening in a new podcast studio in Dubai.
• 02:30 - 03:30: Opportunity for AI to Replace SaaS The chapter discusses the evolution of how software was sold, highlighting the transition from software being sold on CDs for on-premise installation to the development of the Software as a Service (SaaS) model. This transition was enabled by technological advances such as the advent of XML HTTP requests, also known as Ajax.
• 03:30 - 04:30: The Rise of LLMs and Interactive Software The chapter discusses the impact of the rise of Large Language Models (LLMs) on the development of interactive software. Previously, interactive software could be built directly in web browsers, enabling a new Software as a Service (SaaS) model. The chapter highlights an even bigger shift happening now, as affordable and intelligent LLMs make software more interactive than ever. This advancement allows for natural human-like interaction with software, transforming the user experience.
• 04:30 - 05:30: Introduction to Agents as a Service (AaaS) The chapter explains the concept of 'Agents as a Service' (AaaS) and discusses how the evolution of language models (LLMs) will transform interactions with technology by 2025 and beyond. The speaker references a previous video on GPT-40 for more context and suggests that AaaS represents a new AI business model enabling revolutionary technological interactions.
• 05:30 - 07:00: Advantages of AI Agents Over SaaS AI agents surpass SaaS in functionality by automating tasks without the need for manpower. While SaaS platforms like HubSpot require a user, such as a marketing professional, to perform actions, AI agents eliminate this necessity. They can autonomously utilize CRMs, generate leads, schedule appointments, and follow up, thereby streamlining processes and reducing staffing requirements.
• 07:00 - 09:00: The Ease of Building AI Agents vs Traditional Software The chapter discusses how AI agents as a service have the potential to surpass the traditional Software as a Service (SaaS) market, valued at $300 billion. Unlike SaaS, which provides tools to automate specific processes, AI agents automate entire processes, offering a higher degree of scalability. Furthermore, the chapter highlights that building AI agents is significantly easier compared to traditional software, making them a more attractive option in many cases.
• 09:00 - 11:00: Growth of Vertical Agents in the Market The chapter 'Growth of Vertical Agents in the Market' explains that software products, often misunderstood, are primarily interfaces for databases. The speaker shares their experience in building large-scale enterprise products both for internal use and for clients before launching their agents as a service subscription. These products essentially act as user interfaces over databases, including systems like Salesforce, QuickBooks, and others.
• 11:00 - 13:30: Understanding Vertical vs Horizontal AI Agents This chapter discusses the applications of AI agents with vertically and horizontally structured databases. Vertical AI agents specialize in specific domains (e.g., Zendesk for customer support or QuickBooks for transactions), allowing them to work directly with databases with minimal coding required. The AI agents can seamlessly integrate with databases via direct connections rather than complicated APIs or user interfaces.
• 13:30 - 15:00: Customization Challenges for Vertical Agents This chapter discusses the advantages of customized vertical agents over traditional SAS solutions. Customized vertical agents are more valuable for businesses and demand less effort to create, presenting a significant opportunity for growth. The discussion highlights the early stage of market adoption, forecasting a surge in enterprise spending, which is expected to reach 300 billion by 2024 from a mere 1.22 spent previously.
• 15:00 - 17:30: Performance Comparison of Vertical and Horizontal Agents This chapter discusses vertical agents. It mentions a significant growth in vertical agents, which have increased 12 times from the previous year. The chapter also introduces the concept of vertical versus horizontal agents, promising further explanation in the next section. Despite the impressive growth, the use cases for vertical agents remain basic, mainly functioning as co-pilots.
• 17:30 - 18:30: Benefits of Focusing on Vertical Agents The chapter begins by setting the stage for understanding the benefits of focusing on vertical agents within the context of AI chatbots. It highlights the necessity to differentiate between horizontal and vertical agents, noting that the understanding of this distinction is crucial for leveraging the new agents as a service model. There is a promise of a detailed roadmap to fully exploit this opportunity with a prelude that touches upon vertical agents but leaves out the description of their benefits.
• 18:30 - 20:30: Real World Examples of Vertical Agents This chapter discusses the concept of vertical agents, which are tailored to perform specific, single roles or functions. The text highlights the contrast between vertical and horizontal agents, noting that horizontal agents have broader applications and flexibility as they can be adapted for various niches. An example provided is Harvey AI, which is a vertical agent specifically designed for law firms.
• 20:30 - 25:00: Key Components for Building Vertical Agents The chapter discusses the concept of vertical and horizontal agents within agent frameworks. Vertical agents can be pre-trained and tailored for specific tasks, making them easier to implement. In contrast, horizontal agents are platforms that necessitate training from scratch, offering broader applications but requiring more initial setup. The key insight shared is the uniqueness of agents, highlighting that no two agents are exactly the same, even though most companies operate with different protocols.
• 25:00 - 30:00: Methods for Building Vertical Agents This chapter discusses the concept of vertical agents and their training processes. It highlights that even though different roles have specific tasks, there are general processes that are common across different environments. For instance, a developer generally follows a sequence of checking a task, finding relevant files, writing tests, coding, and testing the code, irrespective of the company. Vertical agents are trained on these general processes, allowing them to quickly adapt and become operational in specific roles.
• 30:00 - 35:00: Pricing Models for AI Agents This chapter discusses the challenges of customizing pre-trained AI agents, which have been trained on general processes, to fit specific business needs. It highlights that while these agents may come with benefits, their general nature can complicate their application in specialized scenarios. An example given is the difficulty in adapting AI agents to help developers who must document features in a specific format and location, emphasizing the need for high adaptability in AI solutions.
• 35:00 - 45:00: The Roadmap to Leverage AI Opportunities The chapter discusses the differences between vertical and horizontal AI agents. Vertical agents struggle due to their initial pre-training restrictions, whereas horizontal agents can be customized for any process. A graph is presented with performance on the x-axis and time or effort on the y-axis to illustrate these differences.
• 45:00 - 67:30: Interview: Success with Vertical AI Voice Solution The interview focuses on the benefits of using Vertical AI Voice Solutions compared to Horizontal AI agents. It highlights the quick return on investment achieved with Vertical AI, as it doesn't require extensive training from scratch. However, it mentions a performance plateau once the solution's capabilities are fully utilized. In contrast, Horizontal AI agents require significant time and effort to show value, implying that Vertical AI solutions offer quicker benefits but may have limitations in customization.
• 67:30 - 71:00: The Future of Vertical vs Horizontal Agents The chapter discusses the concept of vertical and horizontal agents, focusing on how businesses can benefit from them. Vertical agents are described as solutions that provide 80% of the necessary performance with only 20% of the effort. While these solutions are convenient, they offer limited customization compared to horizontal agents. The latter can potentially lead to a higher return on investment because they allow greater customization beyond initial pre-training. However, business owners often lack the expertise or motivation to fully leverage horizontal solutions, resulting in a preference for the more straightforward vertical solutions.

This Revolutionary AI Business Model Will Make Millionaires in 2025 Transcription

• 00:00 - 00:30 [Music] this AI business model will create millionaires or even billionaires in 2025 it could be bigger or it could even completely replace SAS the best business model we've had so far which is software as a service a market of more than $300 billion in this video I will explain exactly what this new model is share l
• 00:30 - 01:00 Al everything you need to know to get started even if you're a complete beginner and even provide you with a complete step-by-step road mapap you can follow to profit from this opportunity before everyone else at the end we will even do an interview with someone who has already gone through all of these steps and currently generates $50,000 per month with this new amazing model before we dive in if you're new to this channel welcome my name is arseny and
• 01:00 - 01:30 I've been building AI solutions for the last 4 years we were one of the first AI agencies to start building AI agents for businesses worldwide using my own AI agent framework with over 3K stars on GitHub and now unlike all other agency owners on YouTube I won't even be selling you a course or a paid community at the end and it's not even in my plans for 2025 we'll be doing exactly what I teach you here in this video ourselves last last ly for all my long-term
• 01:30 - 02:00 subscribers sorry for the recent slowdown in content I'm currently in the process of relocating to Dubai which is why I'm recording at this beautiful podcast studio now let's Dive Right In first let's talk about what this new opportunity is and how exactly it could replace SAS some of the ideas in this section for this video were inspired by a y com Bator podcast episode which I'll
• 02:00 - 02:30 link down below for you to check out later the key idea from that episode was that just recently back in early 2000s all software was sold on premise there was no SAS model because all software was sold on CDs you would buy a CD install it and this is how you'd get your software then when the XML HTTP request or Ajax came out it finally
• 02:30 - 03:00 became possible to build interactive software directly in your browser which is exactly what allowed for this new SAS model today we're experiencing an even bigger shift because with the rise of affordable and smart llms software is becoming more interactive than ever before you can now interact with your software as naturally as you would with any other human there's no longer even a
• 03:00 - 03:30 need for a browser anymore check out my previous video on GPT 40 if you want to learn more about that but in a nutshell what llms truly unlock for the world in 2025 and Beyond is a completely new way to interact with technology which is exactly what enables this revolutionary new AI business model called ass yes agents at a service AI agents
• 03:30 - 04:00 are so much more powerful than SAS because AI agents do exactly what SAS does but they do not require any manpower to run it so for instance hopspot is just a CRM but you still need a marketing person to use it on the other hand if you buy a marketing agent you don't even need anyone else because the agent will use your CRM for you it will generate leads it will schedule appointments it will follow up with them
• 04:00 - 04:30 and it will update that CRM for you this is why I believe agents as a service could actually be even bigger than this 300 billion software as a service Market agents do not just give you the tools to automate a specific process they actually automate the entire process for you so it's infinitely more scalable another important point I want to mention here is that it's actually much easier to build agents than traditional
• 04:30 - 05:00 software products unlike many people think and you can trust me on this because before we started our agents as a service subscription we actually built four large scale size products for ourselves and for our clients you see at its core all siiz products are essentially just wrappers around databases H sport Salesforce QuickBooks zenes it doesn't matter all of them are just user interfaces built on top of
• 05:00 - 05:30 differently structured databases so zendesk is just a pretty fi database of your customer support tickets while QuickBooks is a database of your transactions and the beauty of AI agents is that they can work with these databases directly there's way less code required because the agent can just hook up to your database without you having to build any super complex apis or user interfaces so not only agents provide
• 05:30 - 06:00 significantly more value for businesses than SAS but they also require way less effort to build them this is why I believe this is such a massive opportunity for anyone watching this and to be clear you are still extremely early from this huge 300 billion Market in 2024 Enterprises only spent 1.2 2
• 06:00 - 06:30 billion on vertical agents this is the type of a agents by the way that we will be discussing in this video don't worry if you don't understand the term in the next section I will explain everything you need to know about vertical versus horizontal a agents the key thing to notice here is that the growth actually has been the highest among all other categories 12x from the previous year and the use cases are still extremely basic it's pretty much just co-pilots
• 06:30 - 07:00 rack and support chatbots okay now before I can present you with this complete road map you can follow right now to fully benefit from this opportunity we first need to understand the difference between the two types of AI agents that you can build under this new agents as a service model which are the horizontal agents and vertical agents the biggest difference is that vertical agents are
• 07:00 - 07:30 very niched down they are made to perform only a specific single roll or function on the other hand horizontal agents are not restricted by any specific use case when you are building a horizontal solution it means that you or anyone else can adapt it for any Niche role or function for example Harvey AI is a vertical agent made specifically for law firms while my
• 07:30 - 08:00 agent framework agency form although can be used to make vertical agents is a horizontal platform now what this means from a technical perspective is that vertical agents can pre-trained for you while horizontal agents require training from scratch you see a key Insight that we discovered in ouri agency is that there are no two agents that are exactly the same however although most companies follow completely different sets of
• 08:00 - 08:30 steps in their own processes a general process for each role is still there for example a good developer always typically first looks at a task then finds the relevant files then writes a test then writes the code and then tests it until it works as expected regardless of which company he works for this is exactly what vertical agents are trained on this pre-training on a general process for a specific role is what allows those agents to get up and running much faster however just as this
• 08:30 - 09:00 can be a blessing can also be a curse you see the fact that those vertical agents have already been trained on a general process actually makes them harder to customize for a specific process in your or your client's business for example if your developers also need to write a documentation for each feature but that documentation has to be placed in a completely different repo following a specific format this is
• 09:00 - 09:30 where vertical agents can struggle on the other hand horizontal agents are not restricted by this initial pre-training so they can easily be customized for any process so to fully grasp the differences let's try to plot this on the graph on the x axis we have the performance while on the Y AIS we have the time or an effort required this is what it looks like for vertical agents
• 09:30 - 10:00 you get a very steep return on investment in a very short amount of time because you don't have to train it from scratch but then as you can see typically the performance Plateau as you've exhausted all its capabilities and you can't customize it any further and this is what it looks like for horizontal agents with horizontal agents you need to invest a considerable amount of time and effort before you get any value at all but then what typically
• 10:00 - 10:30 happens further down the line is that you are able to achieve a higher return on investment because you not constrained by this initial pre-training and you can customize it much further the problem is that most business owners have no idea how to do this neither any desire to do it themselves if they can get to 80% performance with 20% effort they will just go with the vertical solution this is this is why with
• 10:30 - 11:00 vertical agents you can get to extremely high Revenue numbers in a very short amount of time just like with B2B SAS compared to b2c sias it's much easier to grow at those initial stages vertical agents are much easier to pitch and build yourself because you are only targeting a very specific type of a business customer this is why I don't even recommend you to consider building a horizontal platform for or maybe 99%
• 11:00 - 11:30 of people watching this video and this is why we ourselves at our agency will be expanding our offerings with vertical agents in 2025 okay now let's take a look at a few real world examples of vertical agents first we have a platform called 11x which is building an AIS SDR and sales rep agents they are a ating your goto
• 11:30 - 12:00 market and replacing platforms like Salesforce and Apollo but again not just giving you the tools rather automating the entire process from generating leads to schedule appointments and closing they have just raised $50 million series B round at around 350 million valuation in total they raised over $74 million honestly I think 74 million ion is a total Overkill it's not like
• 12:00 - 12:30 they're training their own large language models they're still just hooking up to open the API just like everyone else does so don't bother by those crazy investment rounds in my road map you don't actually need any funding to get started at all the next example is Carmen this is a more Niche down agent made specifically for construction project managers to help them automate administrative tasks I I personally
• 12:30 - 13:00 prefer more Niche down use cases like this where it's not just an agent for a specific role but it's an agent for a specific role in a specific industry or for a specific Niche I think these are much easier to pit and can provide more value for your Target customer after all normi is another example of such an agent for Regulatory Compliance teams it helps them evaluate whether proposed content or actions are compliant with
• 13:00 - 13:30 relevant regulations and lastly we have the famous Devon which is a $500 a month development agent yeah I don't even know what to say about this let me know guys if you want me to do a full review and compare it with some of the horizontal agents that we made in our agency by the way it surprisingly Works in slack just as I explained earlier you don't really need a UI to run an agent all right now let's talk about what you'll actually
• 13:30 - 14:00 need to build a vertical agent yourself the first key component which you will most definitely need to focus on is data in any AI project the quality of your input data will ultimately determine the quality of your output and recently people started to forget that eii agents are also first EI models so to build an effective vertical agent the
• 14:00 - 14:30 first thing you need to focus on is collecting valuable internal data this data will later either be used by you for training evaluation or for fine tuning note that the data you collect has to be internal because if it's not and if it's valuable most likely CH jpt has already been trained or that the real magic happens when you train agents on this most precious internal data that
• 14:30 - 15:00 all companies keep secret however if you don't have access to such data it's not a big problem because in my road map I will actually explain how you can collect it as you go the next key component for building vertical agents is industry specific expertise to build an effective vertical agent you need to know your customer and their Sops or standard operating procedures really
• 15:00 - 15:30 well from those Sops you will then extract the general process that the agent must follow if you don't have industry specific expertise I definitely recommend partnering with someone who does and lastly you need some resources it does not necessarily have to be funding you can raise money if you want to or you can apply to a startup accelerator seems like this is not a bad time to do so however don't build your
• 15:30 - 16:00 product only to raise funding this is the biggest mistake you can make focus on actually delivering value with whatever resources you have you can easily get started completely by yourself by investing only your own time and effort okay now that we've gathered these resources you can choose one of the three methods to start building your own vertical AI agent the first one is
• 16:00 - 16:30 using a framework the second one is leveraging a platform and the third one is developing a fully custom coded solution so let's now explore the pros and cons of each approach and then as I promised I will provide you with road map so first as I said you can build it using a framework this means essentially using an agentic framework like agency swarm crew AI link chain autogen and others which handle some of of those lower level details for you the
• 16:30 - 17:00 advantage of this approach is that it saves a significant amount of time and effort during development and the downside is that you will still need some development experience the next way to build a vertical agent is through a horizontal platform yes you can actually build a vertical agent on top of another or even multiple horizontal platforms like Google Cloud vertic AI agent Builder a s Bedrock agents and others
• 17:00 - 17:30 this is the approach that the person who we will be interviewing at the end has selected by the way and it's pretty impressive how far you can take it the benefits of this approach are scalability meaning that you can serve as many end users as you want without managing the servers and without having that significant technical experience however one major drawback of this approach is the costs because most of these platforms can get extremely expensive at scale and the
• 17:30 - 18:00 final way to build a vertical agent is through your own fully custom coded solution this is where you're not using a framework or another horizontal platform and just building everything from scratch yourself with this approach you obviously have complete control over everything and you're not constrained by any other systems but you obviously need significantly more technical experience and development effort I generally recommend starting with a
• 18:00 - 18:30 framework or with a horizontal platform and then potentially transitioning to a completely custom coded solution later when you are ready to scale by the way I have plenty of tutorials on how to build agents with my framework and even free Cloud deployment templates on my Channel that I will also link for you down below the final thing before you can start building your a agent that you need to consider and that can easily
• 18:30 - 19:00 make or break your success is how to price your agent so here are the four key aaas pricing models that I've discovered so far the first one is licensing this is where clients pay either for a one-time setup fee or a monthly subscription fee to use your agent this model is easier to pitch since CL s know exactly what to expect
• 19:00 - 19:30 up front however it doesn't account for the actual value generated or usage of the agent which means you risk either significantly underpricing or overpricing your solution I recommend this model when you are just starting out so you can get some cash flows case studies and valuable feedback the second pricing model is usage based this is when you charge customers based on their token or message consumption for example
• 19:30 - 20:00 you can charge double or even triple Open the Eyes token rate or set a fixed rate like 20 cents per message this is already a much more scalable model but you need to be sure that your agent will be constantly used preferably even by multiple employees at the same time that's why I believe this model is best for Enterprise the next model is outcome based pricing this is where gets interesting with some vertical agents
• 20:00 - 20:30 you can actually charge per result for example per appointment booked per lead generated or even per a website built that's how many smma and other types of agencies are able to generate such massive revenues because the clients can easily evaluate if your pricing makes sense compared to the results that they get you can charge them significantly higher rates I recommend this model for smbs or small medium-sized businesses
• 20:30 - 21:00 finally there is one more model that will be personally experimenting in 2025 which is the hybrid approach with the hybrid model you can combine multiple pricing strategies together for example you can charge a base fee of $3,000 per agent per month that includes a th000 messages and then charge extra $50 for each lead generated or I don't know for maybe 500 other messages this approach lets you get the benefits of different
• 21:00 - 21:30 pricing models however it does make your agent harder to beach because it's harder to estimate the long-term costs now that we've covered the fundamentals let me finally present you with the complete road map to fully leverage this opportunity in 2025 the first step is finding your Niche ask yourself which IND indes do you know best do you have any unique
• 21:30 - 22:00 Market insights or do you know anyone else who could provide those insights if so this is the industry that you need to be in because as I said before understanding your Target customer and their problems is key for vertical AI Solutions the next step is to identify a suitable problem for an AI agent to solve keep in mind that not every problem should be solved by AI agents you need to find the recurring problem
• 22:00 - 22:30 that appears repeatedly across the entire industry and that companies have struggled to automate before it needs to be a dynamic process that traditional automation tools like make or zapier can't solve the next step is to sell this is the approach I always recommend you shouldn't build your vertical agent before selling it first you need to find the client and only then you build the solution specifically for that client this helps you to reduce any upfront
• 22:30 - 23:00 risk and eliminate any upfront investment because your clients will essentially Finance your vertical agent solution this is why licensing works so well at the start after finding a client the next step is to build an MVP a minimum valuable product tailored for that specific customer this is the step by way where you can collect the necessary data if you haven't had access to it before simply ask your clients for their Sops and any internal knowledge
• 23:00 - 23:30 required to train the agent however obviously make sure to be clear about how you're planning to use it later and make sure to anonymize it if needed don't worry about your solution being not reusable across multiple clients at this stage the key right now is gathering feedback and understanding how your agent differs between those initial clients after Building Solutions for a few clients you'll start noticing patterns and similarities between them
• 23:30 - 24:00 you'll see which features remain consistent and which features need customization at this point you can begin productizing your agent so at this stage you need to identify which components remain constant and make sure that everything else can easily be modified from a single config file or a template depending on which approach you selected on a high level all vertical agents are just pre-rain models combined with templates that you can easily
• 24:00 - 24:30 customize for different clients so for example if some of your clients use QuickBooks While others use zero ensure that you can easily adjust your agents tools and switch between those two platforms and the same applies to prompts make sure that you only change certain sections in your prompt and not rewriting every prompt every single time after that the next step is to evaluate this means setting up the evals evals are a complex topic and I'll probably be doing a completely separate video on
• 24:30 - 25:00 that later but tracking your agent's performance at this stage is crucial because this is what's going to allow you or maybe the agent itself in the future to improve its performance with proper evals you can completely destroy all of your competition because the more agents you deliver the better they will become and the final step is scaling so increase your marketing span hire more
• 25:00 - 25:30 people if needed and try to deliver as many of those agents as possible if you priced your agent well I hope to see you in Dubai here soon now let's talk to someone who has actually gone through all of these steps and successfully scaled their vertical AI voice solution to over $50,000 per month after this interview I will also share my personal thoughts on the future of vertical
• 25:30 - 26:00 versus horizontal agents because for some of my long-term viewers you might be wondering why am I building a horizontal platform after all okay now let's get to the interview all right so welcome Chase Chase here built one of the most impressive vertical AI voice solutions that I've personally seen so far so Chase can you give us a brief overview of what you've built yeah what we basically did was we integrated the old good old technology that everyone's
• 26:00 - 26:30 been using for a long time with crms and automations and we married that into real authentic conversational AI so voice AI conversational AI we married all those things in together we really focus on everything after a lead comes in until that lead leaves the company we can handle everything almost aonly we can when they fill out a Facebook form our AI agent can call them medely text them immediately the voices are
• 26:30 - 27:00 absolutely amazing they can take all the information they can update the CRM they can book appointments they can do rescheduling they can update the names and emails and addresses in the CRM live on the call and then we have another AI that will read the transcription dictate what happens update the CRM and then they get automatically moved into the right bucket so if it was like a not interested then it would automatically tag them not interested move them into the not interested Pipeline and it would
• 27:00 - 27:30 remove them put them on the Do Not Call List all without any human intervention so just as I said vertical agents they don't just give you the tools they don't just give you the CRM they actually use your CRM for you this is what makes them so freaking scalable so when you were getting started how did you initially uh find this idea that's a great question so that's a solar panel everybody thinks that's a curtain that's a solar panel I've helped about 600 people go solar and I was already really deep into
• 27:30 - 28:00 running my own team so we had four people on the phones and we used an awesome CRM everybody in their mother was trying to copy us and chase us for almost five years with what I thought were basic automations but every time I check out a marketing agency they're not doing any of the crazy follow-ups and nurture speed to lead and we have a bucket for every place that the lead needs to live throughout the entire journey and over a 5-year period of time that Journey can really really change right you need to to blast out anybody at any given time old leads New Leads
• 28:00 - 28:30 data reactivation so when voice AI came out I already had the system part down but we didn't have the scalability part there's a ceiling right over my head and we crushed in solar and everybody was always like why don't you guys explode and I'm like I don't think you understand how difficult it is to scale I need to hire not four more reps I need to hire like 10 or 20 more rep I need to bring on like four or five times more lead volume and if that fails in any way shape of reform it's going to crush or Buckle what we're doing so the risk did
• 28:30 - 29:00 not outweigh the reward so we just didn't scale so when boy say I came out I went all in because I knew that was the one piece I was missing to be able to help other businesses including my own scale to Oblivion so it's like the power of a thousand people in a call center at your fingertips so you already had this experience in your specific Niche you understood what the problem was in that Niche and then when they EI came out you instantly realized that
• 29:00 - 29:30 this was the solution to that problem 100% and did you have any technical experience when you were getting started on this solution no I mean some I would say all self-taught right nothing that I went to school for or not an IT director or a software engineer I did get really good working crms and automations even though I have a team that builds a lot of that stuff I like to build it I like to know it I enjoy it now two years ago the voice AI was very complicated it was probably the hardest thing I've
• 29:30 - 30:00 ever done because it was all open web hooks custom web hooks one period in the wrong place and everything failed fast forward to now I can build now still needs to be tested but I could build a voice AI agent in head in like 10 minutes now to build the whole system and all the automations and sequencing and pipelines that's a little different takes a few days from the team but it's gotten so much easier than it was so you don't need technical skill anymore to start utilizing this type of Technology and what you're doing right now it's all
• 30:00 - 30:30 basically templatized like you say it takes you two days to set up there's basically like all of the templates all of the like pre-build staff that you've created that now you just take and customize for different clients is that how it works for the most part that's how it works occasionally it is something unique and completely custom but for the most part we have a system that has like 58 workf floats right everything you could imagine from no call no show speed to lead 7day nurture 3we nurture 6mon nurture 52- we nurture
• 30:30 - 31:00 canceled invoicing contracts our system can do everything so we have that template and then when we sell a company we only give them what they need so we try to focus on the 20 that's going to move the needle 80% because you know I think where people get really caught up is they try to do too much because they think well AI can do this and it can you can solve the whole system but this is like compound interest you got to invest in something first and they keep putting a little bit of energy time and love
• 31:00 - 31:30 into it and that agent gets better and better and better so it's always better to start small start with a calling agent that's going to handle your leads speaked to lead then after that let's work on nurture then after that let's work on database reactivation then you look back three months later and you're like did I just create an army of people with three AI agents yeah yeah you extra business with three or four or five agents but doing it all at once it's it's like it mentally makes people's head explode yeah and by following the approach you also don't start from zero
• 31:30 - 32:00 that's also a cool part about focusing on specific niches that you don't go you know from scratch every single time for every single client you actually build upon your own existing solution and then the more clients you get the better Your solution gets as well so this sounds extremely exciting can we get a demo right now you want a demo huh okay let's see let's see if Mrs Grace AI her name is Grace silver let's see if she's up for doing a quick
• 32:00 - 32:30 demo hey Charles this is Grace from infinite AI how's it going today very good I've got my buddy Ary on a podcast and a bunch of people are watching can you say hi to everybody well hello there podcast people Grace from infinite AI here your friendly fassy AI sales assistant hope you're all ready to dive into the world of AI magic where sales hassles disappear faster than your Wi-Fi during a binge watch session let's make business harder shall we cheers everyone yeah go ahead and tell everybody what
• 32:30 - 33:00 you do real quick all right buckle up folks I'm Grace silver your AI sales assistant extraordinaire from infinite AI is level up by automating up to 90% of their sales process think lead generation followups appointment setting and even reactivating those dead leads you thought were goners basically I'm like the sales superhero you didn't know you needed Saving Time boosting Roi and making your life a whole lot easier oh and I do it all without coffee breaks for six days so who's ready to let AI do the heavy
• 33:00 - 33:30 lifting Mike drop I think that's pretty awesome but let's let's impress everybody a little bit I'm changing directions here so that everybody can see your capabilities really quickly can you tell us that everybody needs an AI employee and say it in Spanish so they can hear your multilingual capability
• 33:30 - 34:00 all right that was amaz that that that was amazing now let's change directions again I want you to give my buddy arson here a musical rap I mean Eminem style Slim Shady a musical rap on how AI employees are going to change the game in 2025 in English oh snap all right here we go yo it's 2025 AI taking the stage infinite AI we're flipping the page sales game strong we're breaking the mold AI employees the futes pure gold Jackson's on the follow-ups keeping it tight leads
• 34:00 - 34:30 stay warm conversions take flight Alice on retention she's the Loyalty Queen keeping customers happy like a sales machine digging deep reactivating the de old data into green instead and Jack's the custom King tailor made for you whatever your businesss he's coming through all right girl you're pretty awesome we got a jump here I want to show them one more thing can you transfer me over to the sales department please transferring you over to the sales department now they're going to take great care of
• 34:30 - 35:00 you no way hi there this is Jack silver from infinite AI a lovely Tuesday Morning were you transferred by Grace or yeah we were transferred by Grace man she is she's quite the badass he Grace is definitely amazing she knows how to connect the right people so what's your name and how can I help you today so this is crazy that was the sales agent one was like an inbound normal conversational agent you can
• 35:00 - 35:30 transfer over to sales and he knows all of our pricing all of our stuff so that was a lot of pivots I don't know if everybody can understand how powerful that really was but you're human rep busting a RP out out of nowhere on a pitch the ability for it to mentally change directions is absolutely bulkers this is nuts this is one of the most mind-blowing demos I've seen so far and I've actually scheduled calls with companies like Lex have like 70 milons in funding oh 11 they're like 20 grand a
• 35:30 - 36:00 month this is crazy this is absolutely one thing they do outbound that's it they don't do nurture they don't do followup they don't do database reactivation they don't do any of these things all right can I ask you how much are you making with this solution right now per month so our best month was close to 100 Grand we've had several really successful webinars that were like 70 grand I'd say on average like you know reoccurring Revenue probably ranges from 30 to 60 Grand and really it
• 36:00 - 36:30 should be a lot higher but we've pivoted directions several times because this is a new evolving game right so we've realized what we enjoy doing and we've realized what we don't enjoy doing and so what we're pivoting into is a build and stay model not just build and release so we offer two models one is build and release so I build the infrastructure we train the AI employees we build the sequences automations the CRM all inone you literally don't need anything else and then we train your
• 36:30 - 37:00 team you pay a monthly and you pay a build the next area is what we call a growth partner this is where we build and stay so we're like a fractional C AIO of your company so I just sold a Solar Company $7,500 down $7,500 per month and we are going to run all of the systems that we built now for his specific use case it's simple it just needs to call set solar appointments and get them over to a human rep and they can take same day appointments that's it he doesn't need database reactivation he
• 37:00 - 37:30 doesn't need this he doesn't need that so we're going to build a system and then we are going to deploy it every day we're going to listen to the agents we're going to make the optimizations we're going to build the text in the other sequences to optimize Roi and we're tied into the revenue so we get the 7500 plus the revenue split so that way we only want to work with companies who want to wake up and think man I really want Chase fired up about my business today this is not an agency mod
• 37:30 - 38:00 that exists without an agency I'm not just giving you appointments I don't want to just give you appointments I want to be tied in and if you don't want us excited that's okay then you can do the buildin release but they'll never get what we can get out of the system because we built it we know it it's salespeople that built the tech not tech people doing the right yeah this is what's crazy with AI agents and this is why it's such a huge opportunity unlike with standard AI models you can create some really new pricing models where
• 38:00 - 38:30 you're not just charging the client for tokens you're actually charging them per results or like the revenue share where the potential is just so much higher and when you do combine those different use cases together this is actually where I've also seen the biggest return on investment you know when you have multiple agents and when you actually work on every single agent for a very long time and you're not just starting with like two three four agents just for the sake of you know having a
• 38:30 - 39:00 multi-agent system where you actually work on each agent thoroughly where you train it and only after it performs exceptionally well for its own specific use case you move on to the next one this is where I've seen those biggest returns where you combine the power of both agents and instantly like the power of your system 10x absolutely I really couldn't agree more that's kind of I Su earlier starting small and then building upon success not just you hiring me and tell me you want five agents and you want no call no show and this and that
• 39:00 - 39:30 and the other I'll try to talk you out of it 6 months ago I would have let let's go now I'm telling you I'll do it but let's do it in stages let's spend the first three or four weeks and do this let's let that outbound agent do its thing right then once that's perfected now let's get our database reactivation agents now let's get our nurture agents this way it's easier to maintain mentally you understand and you can compartmentalize what's going on yeah exactly so where can we find out more about your work and if anyone is
• 39:30 - 40:00 interested in actually working with you uh where should we direct them to our website is my infinite. so my infinite. ai- employees that's another page that's really specific to what we do got okay awesome so we'll link it down below if anyone wants to check out Chase's solution and thank you so much Chase for joining it's extremely impressive what you've built so far you are literally competing with companies
• 40:00 - 40:30 that have millions even tens of millions of dollars in funding and I believe right now you are even beating them so congrats and I hope to see your solution scale even further this year likewise man I'm equally excited for what you got going on on whole different levels having agents do all of our posting and over our marketing and all that cool stuff really exciting to uh met you and get a collaboration going man it's it keeps me up at night likewise likewise
• 40:30 - 41:00 yes let's discuss this further thank you Chase so in conclusion I wanted to address one more thing which is the future of vertical versus horizontal agents as I said if you've been following my channel before you're probably wondering why am I building a horizontal platform when there's a such a huge opportunity for vertical agents in in 2025 well first of all we are
• 41:00 - 41:30 already building vertical agents on top of our platform and secondly although there are many similarities between SAS and AA there are also some key distinctions that would simply not be possible with SAS like the fact that agents can self-improve and build other agents so in my opinion as these models keep getting bigger and smarter we will eventually have horizontal agent
• 41:30 - 42:00 platform that can build vertical agents for virtually any use case from a single prompt just a single prompt will get you to like 80% performance compared to other vertical platforms and then the agent will also be able to set up its own EVs and self-improve even further however I don't think vertical agents are going away anywhere anytime soon I think both will have their place so some people will prefer vertical some people
• 42:00 - 42:30 will prefer horizontal and many will probably even combine both to start businesses without any employees at all for more groundbreaking AI Trends in 2025 like thermodynamic Computing that could potentially have even greater impact I recommend watching this video next thank you for watching until the end and don't forget to subscribe