I’m Automating a Business LIVE to Prove Anyone Can Do It (Part 1)

Key Concepts

AI agency, real estate wholesaling, automation, AI strategy meeting, bottlenecks, deal flow, CRM (REI Reply), lead management, transaction coordination, Figma, SMS campaign, lead qualification, acquisition manager, Google Forms, contract drafting, DocuSign, voice AI agents, scalability, CRM integration, Agency AI.

AI Strategy Meeting: Automating a Real Estate Business

Overview

The video details the initial AI strategy meeting between Arseni, who runs an AI agency, and Steven, who runs a real estate investment and wholesaling business generating six figures a month in profit. The goal is to identify opportunities to automate Steven's business processes using AI. The core idea is to focus on automating tasks that generate the highest ROI, not just the tasks that Steven dislikes.

Identifying Bottlenecks and Opportunities

Steven identifies two primary bottlenecks:

1. Lead Flow: Categorizing and tracking cold leads, and responding to leads quickly. He estimates that 80% of their marketing efforts are spent on categorizing leads.
2. Transaction Coordination: Managing paperwork and communication during deal closing.

Arseni prioritizes automating the lead flow process for the following reasons:

• It's a high-paying role (lead managers get a large percentage of closed deals).
• It appears easier to automate than coordinating multiple people across different communication platforms.
• Automating lead flow can significantly increase ROI.
• The current lead manager spends 5 hours a day on the task and bottlenecks the SMS campaign scaling.

Mapping the Lead Flow Process in Figma

Arseni uses Figma to visually map out Steven's current lead flow process:

1. Trigger: An SMS campaign is sent out.
2. Lead Manager Screening: The lead manager manually checks the texts to identify potential interest.
3. Unqualified Leads: Unqualified leads are placed into different buckets for future SMS campaigns.
4. Qualified Leads: Qualified leads are directed to a Google Form, which the lead manager fills out. This form is then sent to the acquisition manager as a "hot lead."
5. Google Form Details: The Google Form captures details about the property, such as its age, systems, history, and the seller's motivation score.
6. Acquisition Manager Action: The acquisition manager attempts to call and close the deal. They may consult with Steven to determine the offer price.
7. Offer and Contract: The acquisition manager determines the home's worth by pulling comps. If the deal size is above a certain threshold, Steven provides confirmation. The acquisition manager then makes an offer. If the offer is accepted, a contract is drafted.
8. Contract Drafting: A standard contract template is used, requiring the owner's name, price, and earnest money deposit amount.
9. DocuSign: The contract is uploaded to DocuSign and sent to Steven, the buyer, and the seller for signatures.
10. Deal Closed: Once the contract is signed, the deal is considered closed, and the process moves to transaction coordination.

Key Questions and Data Collection

Arseni asks specific questions to gather crucial information for automation:

• What triggers the process? (SMS campaign)
• What systems are involved? (REI Reply CRM, Google Chat, email, text, Google Forms, DocuSign)
• What information is collected in the Google Form? (Property details, seller motivation)
• Where does the information for the Google Form come from? (Phone calls with leads, Zillow, Realtor.com)
• Are phone calls recorded and accessible in the CRM? (Yes)
• Is there a contract template? (Yes)

He emphasizes the importance of collecting all relevant documents, such as Google Forms and contract templates, as these will be used by the AI agent.

Automation Opportunities

Arseni identifies several automation opportunities within the lead flow process:

• Lead Qualification: Automating the screening of leads to determine their potential interest. This is a task that AI excels at and can free up the lead manager's time.
• Google Form Filling: Automating the process of filling out the Google Forms using data from phone calls, Zillow, and Realtor.com.
• Contract Drafting: Automating the population of contract templates with relevant information.
• Voice AI Agents: Automating the entire process, including calling the owners of the house and confirming the price, using voice AI agents.

Benefits of AI Automation

The video highlights several benefits of implementing AI automation:

• Increased Scalability: AI agents can scale almost infinitely, allowing businesses to handle a larger volume of leads without hiring additional staff. Steven mentions wanting to increase SMS messages sent from 2,000 to 5,000 a day.
• Improved Efficiency: Automating repetitive tasks frees up employees to focus on higher-value activities.
• Competitive Advantage: Implementing AI can provide a significant competitive advantage, potentially increasing profits by a substantial margin. Steven estimates a potential 50% advantage over competitors.
• Data-Driven Insights: AI can extract valuable information from data sources, such as phone call recordings, to identify trends and improve business processes.

Next Steps

Arseni outlines the next steps in the process:

1. Access to Systems: Steven will provide Arseni with access to his CRM and other relevant systems.
2. Example Data: Steven will provide example data for training the AI agent.
3. Agent Building: Arseni will build the AI agent using Agency AI and demonstrate how to integrate it into Steven's CRM.

Conclusion

The AI strategy meeting successfully identifies key areas for automation within Steven's real estate business. By focusing on high-ROI tasks like lead qualification and form filling, Arseni aims to demonstrate the value of AI and create a scalable, efficient, and competitive business. The video emphasizes the importance of a structured approach, data collection, and a clear understanding of the existing business processes.