Build AI Agents in Whatsapp in 30 Minutes | EASY Set-Up

How to Set Up a WhatsApp AI Sales Agent

Overview of the WhatsApp AI Sales Agent

• The video introduces a simple method to create a WhatsApp AI sales agent capable of responding to incoming chats, capturing lead data, qualifying leads, and scheduling meetings.

• This solution was recently sold to a marketing agency, highlighting its effectiveness and ease of setup without needing official APIs or complex coding.

Benefits of Automation

• The marketing agency previously employed four full-time sales agents for WhatsApp interactions but plans to reduce this number significantly due to the efficiency gained from automation.

• The speaker emphasizes that the setup can be completed in under 30 minutes, showcasing its practicality for businesses.

Tools Required for Setup

• Key tools mentioned include:

• Agentive: An AI agent builder that allows easy deployment on WhatsApp. Currently free but may become paid soon.

• Relevance AI: A tool used for updating CRM and qualifying leads based on captured data.

• HubSpot CRM: Can be replaced with any preferred CRM software.

Setting Up the Agent

• The agent is configured with prompts detailing how it should interact with leads and what information it needs to capture (e.g., name, website, marketing goals).

• Inputs collected will be used by Relevance AI to scrape LinkedIn for additional company details like size and industry, determining if the lead qualifies based on specific criteria.

Qualification Process

• Leads are qualified based on parameters such as having more than five employees located in the US or Europe within certain industries.

• If qualified, the agent attempts to schedule a meeting; if not qualified, it politely informs the lead they are not a good match at this time.

Detailed Configuration Steps

• In Agentive's dashboard:

• Users can create new agents or modify existing ones.

• Prompts consist of context about engagement and tasks assigned to the agent.

Prompt Structure

• The prompt includes:

• Role definition as a professional sales representative engaging prospects via WhatsApp.

• Primary objectives such as greeting leads, gathering necessary information for qualification, and answering questions using provided knowledge bases.

Standard Operating Procedures (SOP)

• Important steps outlined in SOP include:

• Greeting users and asking for their name and relevant information.

• Using gathered data with qualification tools while ensuring no mention of these tools during interaction.

Final Notes on Implementation

Understanding Tool Usage in Conversations

Contextualizing Tool Integration

• Emphasizes the importance of providing context about the tools being used, including what users need to input and what they can expect as output.

• Highlights that examples of conversations are crucial for setting the appropriate tone, preventing overly lengthy responses typical of AI-generated text.

Best Practices for Messaging

• Advises keeping responses brief and suitable for platforms like WhatsApp, avoiding long texts and references to knowledge bases or tools.

• Suggests asking questions separately rather than in a list format to maintain clarity in communication.

Setting Up Knowledge Bases and Tools

Knowledge Base Configuration

• Discusses the necessity of connecting an OpenAI API key to utilize certain platforms while noting that the platform itself is free.

• Describes a simple setup for a knowledge base, including company overviews, services offered, benefits, and common Q&A.

Utilizing Relevance AI

• Introduces Relevance AI as a tool for enhancing user interactions by integrating it into existing systems.

• Encourages viewers to check out additional tutorials on using Relevance AI effectively.

Lead Qualification Process

Input Variables and Actions

• Outlines essential user inputs such as lead name, website, and marketing objectives which will be stored in variables for further processing.

Data Extraction Techniques

• Explains how to scrape LinkedIn profiles using Google search results as part of lead qualification strategies.

• Details the process of conducting Google searches with specific queries tailored to find LinkedIn profiles based on user inputs.

Final Steps in Lead Enrichment

Data Processing and CRM Integration

Utilizing AI for Data Reduction

• The process begins with the integration of an additional AI to filter down extensive data points, focusing on essential information such as company headquarters, summary, and employee count.

• It is crucial to separate these data points into distinct variables to facilitate updates in the CRM system later.

JSON Format for Variable Management

• The output must be structured in valid JSON format, allowing for clear differentiation between variables like employee count, company summary, and headquarters.

• This step also involves determining lead qualification based on specific criteria: location (US or Europe) and minimum employee count (more than nine).

Lead Qualification Process

• The AI assesses whether a lead is qualified based on predefined criteria; if qualified, it sends a confirmation message back to the agent.

• A manual configuration is set up to ensure that only relevant data is reported back to the agent without any extraneous information.

Updating CRM with Qualified Leads

• An API call is made to update the CRM only if the lead meets qualification standards. Conditions are established so that unqualified leads do not trigger updates.

• The method used for creating new leads in HubSpot requires a POST request along with specific paths and body properties containing necessary variables.

Tool Exportation and Testing

• Relevance AI allows easy exportation of tools for use within Agentive or custom GPT applications by generating an API key and schema.

• After setting up authentication, tools can be created within Agentive for testing purposes before deployment on platforms like WhatsApp.

Practical Application Example

• A simulated interaction demonstrates how an inbound lead engages with the system. The tool runs qualifications in real-time while gathering user input about marketing goals and company details.

Deploying AI Agents on WhatsApp

Overview of Relevance AI and Deployment Options

• The speaker discusses the functionality of Relevance AI, highlighting its ability to log activities and manage leads through Instagram ads.

• Emphasis is placed on deploying agents not only on WhatsApp but also on Messenger and Instagram, with a focus on the ease of integration with WhatsApp.

• A Facebook Business account is required for connecting to WhatsApp, which necessitates creating a business portfolio if one does not already exist.

Setting Up Your Business Portfolio

• It’s crucial that the name used in the business portfolio matches the display name for WhatsApp to avoid issues during verification.

• If you plan to verify your account, using your legal business name can be beneficial but is not mandatory.

• The process involves selecting an existing or creating a new WhatsApp Business account linked to your portfolio.

Creating Your WhatsApp Business Profile

• When setting up the profile, it’s important that the display name aligns with business guidelines; random names are not permitted.

• The speaker suggests using "Force Factory AI" as a display name since it reflects their business accurately while adhering to guidelines.

• Users can obtain a free WhatsApp number through native integration without needing to purchase one.

Final Steps in Deployment

• The speaker encounters an issue due to reaching the maximum number of phone numbers allowed for their business account but notes this step should be straightforward for others.

• Once deployed, users can test interactions with their agents via WhatsApp. An example conversation illustrates how leads are qualified or disqualified based on location and service availability.

Testing Agent Functionality

• A simulated interaction demonstrates how an unqualified lead from Brazil is handled by stating that services are primarily tailored for US or European companies.

• Another inquiry about services showcases how responses are generated from the knowledge base effectively, indicating successful setup and functionality.

Conclusion and Future Engagement

• The speaker encourages viewers to suggest future video topics or builds they would like covered in comments below.