The 4 Best AI Agents You Can Sell For $5,000

these are four most profitable AI agents and automations you can use and sell right now the first one is the technical documentation guidelines and support the problem here is that when it comes to physical or digital system that require complex installations there is a learning curve that is usually done by a certified providers that help business to install a certain system and let's say there are you know two use cases either you know complex installations or just the platforms and software so and there are like multiple parties the first one is the manufacturer or developer

and the second one is like the certified service providers or resellers that help businesses to integrate certain systems and I got this thought after talking to one of our partners that like we like got actually this company on our reader and these guys are you know selling excess prob like Cloud hosted software for Access Control Management whatever it means um but this is like a pretty pretty complex systems uh that you know manage multiple you know doors within an organization facilities and it requires a pretty complex installation process that is again handled by the actual

providers that help the business to do that so imagine if this company n or even the service providers because we're not saying that you know this should be completely removed they have their you know own things besides helping business on the installation side but if there would be an agent that is completely trained on all of the technical documentation and can resolve all of the technical inquiries within a few you know seconds don't you really think that this can be sold for tens of thousands of dollars again depending on the company depending on the solution

one of the companies that we did work with is the infot and I was showcasing this Solution on this channel they have a pretty similar use case but obviously a bit less complex so they sell heers and each heater with within each category has its own documentation which we trained AI agent on so now within the dashboard people can ask any question related to either installation or troubleshooting process so here for example the the most hard like the hardest part would be to integrate it locally within the software and become a part of this software

and again so this is like a pretty complex example and this is not something that anyone can do what I'm seeing and what I want to show you is that the power of an agent that is fully trained on company documentation is unmatched but you obviously need to have a use case so a really good live example is the actual like voice La where you can develop this agent they developed their own agent called Tikko and Tikko is fully trained on you know documentation from voice FL on the apis and troubleshooting steps and it is

really helpful and I can tell you that sometimes even we were using it like multiple time because we have our own agent that we trade on voice Lo documentation but sometimes we compare the answers between like our agent and the voice internal and it's really good and I know that it helps a lot of people so if you find a use case with complex documentation or complex onboarding process that require an indepth knowledge of a certain part within the business this is something that can be easily used or sold to any business this is how

kind of the backend solution would look like the front you need the front end and the back end the front end is how you would want to interact with this system and for the most part this is a chat interface it's either again would be integrated in like let's say if this is the local hostage system in like a live chat here or is a separate box or if it's again on the on the infot tag side what we did is we integrated the popup that is only accessible through the login to the customers that

have been authorized by the business same thing with the voice though as you can see this is the popup but it's pretty public and you can like build it either on third party interfaces or you can build your own chap interface with something like bolt with no code and connect it to voo on the back end on the back end side you would either use voo to create agent or you would use something like an agent with a pine cone um rag knowledge base because the knowledge base is the the most important part and unfortunately

usually this is not as simple as just uploading documents you would need to use either the tagging or the custom fields to make sure that based on the certain intent of the user you would only retrieve certain documents because if like we get an AP as an example they would have probably like five you know to a thousand you know Pages like documents with a lot lot of the details and if every time like asking the question it will retrieve you know three five chunks of data that is most relevant to the question that user

is asking there will be hallucinations because of the amount of documents so what you would need to do is you would need to set up a sub intent recognition where a user is asking something and we classify the intent and based on the intent we are access ing different parts of the rack knowledge base based on you know the tax or either the custom fields or you can build like a separate like rag knowledge basis like for each and every type of the document and intent the Second Use case is the ICP research which might

sound pretty standard but let me explain why it is a real thing if you find the use case it is very time consuming to check if the prospect is qualified or not only for the businesses that have very specific target audience 95% of the businesses that either you interact with or me know as an agency owner are not qualified for this service obviously ly the AI in the lead research is really useful and I do believe that most of the companies should use it what I am talking to is the problem where the lead is

either not accessible by the public database like a poo or Zoom info or available through them but it's very hard to identify either you know it is like who is the ICP from the actual list so let me give you an example and again shout out to Josh after our conversation I got like a few ideas um for like this specific video and this is what we've been discussing uh this so let's say we have a list of whatever so these are the school districts within the US right and it's UDA and like businesses this

is like this is an actual like business spreadsheet this is like what they have right and here they have like links to the like to the uh grade schools website so once you click on the link it opens a specific page for you know a specific like school or Academy and you go to the website and now you have this website and this can be considered a business right right because like educational facilities are like for the most part are businesses and now we have a final URL of this business that we can technically input

into the Apollo as like to the you know company list and so here you can exclude or include company domains and for the sake of the example I'm not sure if it's why it's not showing here but you can like specify let's say 10 websites of these academies or schools and find 700 prospects so now this is where the problem comes in like the first problem is obviously to retrieve these website links and this can be either done by an automation agent that you will program to go through the websites and retrieve the to go

through the district websites and retrieve the URLs of the final websit or you would just pay the VA like 500 bucks and it'll do that but the problem is that okay now we have a list and there are you know I I probably like inputed 10 domains here and we have 700 prospects and as you can see these are like seventh great math like these are not the guys that we really want to reach out to right so that's why you would need to have a another layer of qualification where we go through either titles

only or if we have the LinkedIn profiles we go through their LinkedIn profiles analyzing the buyas and trying to understand if this is the Prospect and again it might seem like an ordinary um qualification process but if you like pay attention to the exam like to this specific example it's just not because this business even though they might have access to a poo they first need to retrieve the websites and okay so if they do retrieve the websites and if they do know how to input this websites as a filter to something like Apollo Zoom

info or List they all have the same features now they have a list of thousands and tens of thousands of prospects and if you tell me Hey Eugene like there's a uh job title filter with the keywords that you can use yes but if this is like the example that like we are discussing right now there are hundreds of potential keywords that can be used and when it comes to like this facilities like especially ational space the titles might not be always accurate so what I'm saying is that there are really good use cases for

these automations and if there's like because there is an option when these people will not be available from you know Apollo even though Apollo is you know almost directly connected to sales nav you can do the same thing through the sales nav and if sales nav is also not available what you would need to do is you also have a directories of the decision makers for certain uh districts and education facilities and you would scrape those the point is that if you find a very specific you like a business with a very specific audience that

is hard to find I would bat a lot of money on the fact that this is one of the main um concerns and bottlenecks to actually find really good people and this is an ideal scenario and use case for automations and scraping to kind of gather everything together and then using AI to like pre-qualify and score potentially score each and every Prospect with something like clay and I also you know created this video where I was going through an automation that is you know scraping more multiple websites uh and analyzing the data so you can

use something like that to um scrape you know files and actually find the URLs that you are looking for within this within the parent uh websites the third use case is the Omni Channel true human replacing a chatbot whatever it means now very important when I mention chatbot I know that a lot of people get hyped because like wow chatbot awesome like we love chatbots and chatbots are you know essentially the most popular soft software solution that can be you know found just because it's all like essentially started from the chat Bots but the problem

here is that you need to have a very very specific use case for this type of the solutions and if you do if even though businesses right now are tend to hire um third party like outsourc teams from you know third party like Philippines even though this is the case there is still a lot of the things that can be done within this sector and we are essentially not building a chatbot but we are building a real human interaction type of interface I was recording this video on the WhatsApp agent it got like pretty viral

and I know that it got like 100 likes for those who were uh watching and uh tracking this I will create a real you know life scenario as I promised but I want to chunk it down into like multiple steps and tell you how you can do the same thing so essentially it when we are trying to mimic human behavior and integrate something as h humanly as possible there are like four things that we need to consider the first one is the multim massage support so that this chatbot supports multim massage interaction like here for

example when we can receive multiple messages from the user wait here for some time then group them together and from here we're actually providing so sorry it's it's an opposite right so it's like the user is asking questions here we are grouping it together and then the bot process it but also respond with multiple messages so this is what I call multim Massage support the second one is the follow-ups as well as memes memes are not always needed but it is adding the human touch which is almost not existent right now within the chart bot

space and the follow-ups it means that when something is happening and when you're asking user a question if he is not getting back to you you can send something like this like patiently waiting and me right now and again this is like some random example what I'm saying is that chatbots right now are not built in a way to follow up with prospects so imagine you are chatting with some sort of a company and the company is ask ask you the information hey how much are you making or they're like trying to qualify you or

they're like asking the question and now if you have a lot of your chance you just you know forget about it and this is why you know companies lose a lot of the money so that's why human agents and human like sales rap are always following up with people doing either reminders or you know standard follow-ups and this is what you can train AI to do into program it in a way if the response is not received within a certain period of time du the followup and the fourth thing is the like double checking and

the fallback so for example that's interesting because like vo recently introduced the uh fallback system when something is like not like one model is not working you can like fold it back to other one but I'm also referring to the fact that you need to probably use multimodal approach to um make sure all the responses are crafted in the most compelling way the the way to do that is to a find a use case for this type of the shot but right and usually from my experience is these are the businesses that have you know

30 plus inquiries per day in this case it is worth in an investment for them it's either like or it's international business with multilanguage um that should support multilanguage uh something like travel agencies that communicate with people in different parts of the world or they should have a complex products or service that require long conversations with each and every Prospect we all know more time the business spends with a prospect more likely um more chances it has to convert the the client right so and because AI in by Nature has an infinite amount of time

and you can uh know you can scale it up infinitely you can program it in a way where it can it will ask and respond 10 20 times spending more time with each and every Prospect so the prospect feels more attached to the business now so the way for you to do that is to get my template and this is you know the first announcement that I do I am going to publish and this is like the first of a Kind template like a framework that you will be able to use and get from me

where you can essentially like copy all the templates and snapshots that I am using put it into your accounts and have the full ready Omni Channel production chatbot within like a few hours right right now it is functioning over Goa level powered by vo low and n8n it's able to respond within the WhatsApp email SMS Instagram messenger telegram so all the possible channels so I it it's not live yet right it's going to be in a week or so if you want to get more details there is a link in the description for my Instagram

DM me and I will send you some information if you want to get an early access again this will be paid if you are looking to know build and learn how to build the best chat boot right now in the world which are Omni Channel let me know on Ina the fourth use case is the billing related questions that can be handled through voice AI inputs and I know that I do not usually cover V voice AI agents on this channel I do have a few case studies I do have a few videos where I

was going over the live examples but this specific um this specific use case was requested from a few clients that I have been talking to recently where there are a lot of the billing inquir so most of the billing inquiries are the same it doesn't really matter like on what the business is so they are very repetitive and they can be easily answered if you have access to like the billing software and the two most common niches for it right now is the medical space and insurance space and these are the guys that I was

like referring to that I was talking to from the um from the uie they are like they're like International insurance broker which is which were interested in the voice AI um handling and we're like actually um partner up with them so this is like an exactly the use case that that theyve being referring to because of like they in the united you United Arab Emirates okay whatever it is uh there are like multiple uh Emirates right um that have kind of a bit of like different structure uh on the back end and they have multiple

tracking softwares and what they have right now is that they have the support line that is answering all the inquiries and obviously it is there's like a just regular robot that is routing people depending on their vehicles like press one press two press three we're not replacing this but once people land into the billing department now the voice AI is connected and once the user is providing his um unique identifier we can actually access everything on the back end and either do a manipulations with like the uh cars and stuff the problem here is that

when it comes to like medical space is Harden compliance is like super hard on the insurance base it's a bit easier as and again so it really depends on the country but the main concern would be to connect to the actual like building tracking soft or through apis most of them again depending in the country are pretty modern and they will have the API access so you will be able to connect it but this setup is like pretty straightforward you would just use vapy and that like to handle the actual call and functions you use

make as the where you will like develop the functions and um try to get data from and to the actual like building software and that's it and you'll have an air table interface where you you'll track all the whole progress now these are the four uh automations that you can really use and that can be really useful for different type of the businesses let me know if you have any questions thanks for watching peace