How to Create an AI WhatsApp Chatbot, Without Coding (Free Template)

The paragraph introduces the concept of creating a WhatsApp chatbot for business purposes. It emphasizes the importance of using the preferred communication channel, which is WhatsApp, by the majority of its over two billion users. The speaker, Joran, explains that a chatbot can provide automated customer support, answering questions and saving time and money for businesses. Joran, the founder of Chamise, shares that his platform inspires people to create chat automations to boost revenue and reduce costs. The tutorial aims to guide users step by step in creating a chatbot, using a chat automation tool, and training it with business-specific data. A free template is also offered for ease of use.

This paragraph details the process of setting up a WhatsApp business account for the chatbot. It starts with the recommendation to acquire a new phone number, preferably a digital SIM card (eSIM), to avoid issues with existing WhatsApp connections. The next step involves creating a free ManyChat account, which is the platform used to build the chatbot. The tutorial then walks through the process of connecting the ManyChat account to a WhatsApp business account via Facebook, including creating a Meta business account with accurate business information to comply with WhatsApp's strict policies. The importance of matching the business name and display name is highlighted to prevent account blocking.

The focus of this paragraph is on creating the chatbot's greeting message and the initial interactions with users. The greeting message is crucial as it sets the tone for the conversation and informs users that they are interacting with a digital assistant. The paragraph outlines the five key elements of the greeting message: greeting the user, clarifying the nature of the chatbot, assuring attempts to answer questions, offering human support if needed, and prompting the user to ask their question or choose from provided options. It also discusses setting up buttons for common inquiries such as return policy and order status, and how to handle these interactions by providing information or asking for additional details from the user.

This paragraph delves into the integration of user input for specific inquiries and the handover to support agents when necessary. It explains how to connect buttons to new WhatsApp messages, gather information from users (like email and order number), and store this data using ManyChat's user input feature. The paragraph also describes how to guide users through the conversation using input fields and how to manage the flow of information. It highlights the importance of marking conversations as open in ManyChat when human intervention is required, and notifying the appropriate support team members to take over the conversation, ensuring seamless customer service.

The paragraph discusses the integration of AI into the WhatsApp chatbot using Chatbase, an AI tool for training chatbots with custom data. It explains the process of training the chatbot on a document containing information relevant to the business, such as returns, delivery, and warranties. The integration of Chatbase with ManyChat is facilitated through Make, a no-code integration platform. The paragraph outlines the steps to set up the default reply in ManyChat, which triggers when no other automation is applicable, and how to send user queries to Chatbase for responses. It also describes the creation of a flow for displaying Chatbase answers and asking users if their questions have been answered. The paragraph concludes with a practical demonstration of the chatbot's functionality on WhatsApp, showcasing how it handles different types of inquiries and integrates AI to provide accurate responses.