A WhatsApp chatbot. Built live. No code.

The Problem

Most businesses respond to WhatsApp inquiries manually — someone reads the message, figures out what the person needs, and types a reply. At low volume that works. At scale it breaks down fast. Response times suffer, leads go cold, and the team spends hours on conversations that follow the same pattern every time.

The challenge: build a system that handles WhatsApp conversations automatically, understands what the user is asking, and routes or responds intelligently — without feeling robotic.

What We Built

We built a WhatsApp chatbot using Make as the automation backbone. Incoming messages trigger a Make scenario that parses the message, runs it through a logic flow, and sends an automatic response back through the WhatsApp Business API.

The system was built live during an Automaton webinar — designed to show clients and prospects exactly how this kind of automation works, what it takes to set up, and how it can be adapted for any business that communicates with customers over WhatsApp.

“I didn't realize something like this was possible without a developer. Seeing it built in real time changed how I think about automation.”

The System Architecture

WhatsApp Business API receives incoming messages and triggers a Make webhook. Make handles the logic — parsing message content, routing based on keywords or intent, and sending responses back through the API. No custom code required. The entire flow is visual and editable in Make's drag-and-drop interface.

The Results

A fully functional WhatsApp chatbot connected to Make that handles incoming messages, processes them through a logic flow, and responds automatically. Built and demonstrated live in a webinar to show how accessible this kind of automation has become.

The project proved that a working WhatsApp automation system can be built in a single session — no custom code, no dedicated developer, no enterprise contract.