Save HOURS with this AI Lead Generation System (Enrich, Qualify & Nurture)

imagine you're running a growing company and your calendar is filling up this is great however now you're struggling with the quality of those leads well if I told you you have built a fully automated AI powered system that handles the entire lead process for you imagine saving hours while giving your best sales reps the most interested engaged and ready to convert leads what's up my people it's ahed here and in this video I'll be walking you through the complete AI lead acquisition system that handles everything for you automatically qualifying your leads enriching their profiles and nurturing them with direct Integrations with your CRM and a successful business owner or entrepreneur recognizes that this is a critical step in a sales process we don't want to waste our teams time on leads who aren't a good fit the system not only saves you time but also greatly increases your convergence because studies show that companies who contact leads within 5 minutes are 100 times more likely to connect with them and 21 times more likely to convert compared to those who waited half an hour or more this system isn't just an automated process it is a Competitive Edge there's three main components that make up the system the first one is the data sources we need accurate and relevant data to enrich the leads instantly and what's a better way than through scraping the leads LinkedIn profile and Company website the second is qualifying those leads because this is not just about collecting the data but asking the right questions before the call and using a specialized AI agent to give each lead a score from 1 to 10 and finally we need to nurture those leads before the call giving them resources to learn a bit more about us answer questions and keeping them engaged so let's dive in and see how this whole system works right so we trigger a system by making a booking so aad goes and makes a booking via kendly or cal. com so this is what I'm using that then kicks off the lead enrichment agent workflow inside of na10 so this agent basically goes and scrapes the company website and then creates a company summary from that and then we scrape the LinkedIn profile of the lead and then create a summary for that lead as well and then we applo the complete enriched profile onto our CRM and we can choose a number of different CRM so here I'm using a table but you can also use go high level hopspot or good old Google Sheets for this and it will work in similar way and then finally we triggered a qualification and nurturing agent and this goes to a different workflow inside of na10 and here is where we do the qualification step so A specialized a agent asks multiple questions to the lead via WhatsApp so it goes back and forth asking all the different questions and once that's completed we then have another specialized agent that gives it a score and the key thing is that this agent is actually trained up on the company's offer and ideal client so that it can accurately give it a score from 1 to 10 alongside the score this agent also gives a reason for that score so that we understand what the llm is thinking and make sure it aligns with our goals and then finally we update the CRM with the scores and the reason for the score and the cool part is is that at this point the same agent transforms into the lead nurturing agent so we're not going off to a different workflow it's the same agent but now we are connecting with pine cone so that we answer questions and also provide materials to the lead so that we keep them nurtured and engaged up until the call one thing I also have to mention is that for this system to work on cow. com or can.

com booking form we have to capture the Le's name their company website and their WhatsApp number as well right so now let's jump on to na10 and show you the workflow okay so this is the complete workflow for the first part of the automations this gets triggered when we have a new book in so like I showed in the previous diagram this starts off with cow. com we start off by actually passing the URL because sometimes the HTTP at the start of the euro is not included so we make sure that's included and then we do a request to fetch the company uh URL and extract that text and then we create a summary from that extracted text and this is just a simple prompt I can show you guys um where we're basically just saying uh the following text is from a website scrape we turn a short summary of the website what they do how they do it and three of their key value propositions uh don't output anything but the summary so you can see just a very simple um summarization so what we have to do to scrape the LinkedIn profile we have to get the URL first so what we do is we do a Google search using the Sur API and then we analyze the different URLs from the results and then we have an agent here that basically picks out the most likely URL from that list and then what we do to actually scrape the profile we do another API call to the back end where we get all the data for that lead and then we just create a summary and update the CRM one thing also added here is that this if statements checks if a WhatsApp number is actually present in the form and if it is this is when we go ahead and Trigger the lead qualify and n agent right so here we've got the WhatsApp lead qualification and nurturing agent and as you can see this is where it can start to get a bit more complex but I'll do my best to explain and this actually took a long time to put together and test and make sure that it's actually robust so please drop a like And subscribe if you're finding value and let's get into it so we start off with the web hook trigger from the previous workflow this goes into the AI agent which is kind of like the brain of the whole system and this agent is connected to the vector store tool this is so that we're able to connect Pine con for the right capability for the chat memory we're using postgress here so that the memory is persistent and it actually stays in the system and then the messages from the AI agent get sent via WhatsApp to the lead and the cool part is that this web hook also works as the trigger for the response from WhatsApp from the lead so this web hook has two different functions so the process goes like this the agent asks a question that goes to WhatsApp and then gets sent to the lead they answer comes back via the web hook and then back to the agent again so this process Loops through until all of the questions have been asked and then agent is actually able to detect when the qualification step is completed and that's when we satisfy the if statement here and then we can go after to the scoring agent so the agent then reads the whole transcript and gives it a score from 1 to 10 and also because here we have a output passer so we outputting the score and also the reason for the score and then we update the CRM using those two values right so I think we're ready to see an action right then so the first thing we have to do is make a book in so I've got my c.