Zappy: Building a Real-Time Workflow Layer for WhatsApp-Based Businesses

Zappy is a mobile first shared WhatsApp inbox for small businesses, designed to turn chaotic customer messaging into structured team workflows.

The core problem is not messaging, but coordination. As small teams grow, conversations become fragmented, messages are missed, and there is no clear ownership or system of work.

I designed Zappy as a real time, multi tenant communication system where every business operates in an isolated workspace, and every conversation is structured, trackable, and assignable across team members.

The system is built with a contract first architecture using OpenAPI and shared types, ensuring the backend and mobile app stay fully in sync as the product scales.

Real time updates are handled through Socket.IO, with fallback polling for reliability across environments.

On top of this communication layer, AI is embedded directly into workflow moments, not as a separate tool. It assists with reply suggestions, conversation summaries, tone rewriting, sentiment detection, and off hours responses, all aimed at reducing cognitive load and response time for small teams.

Zappy is ultimately a workflow layer for WhatsApp based businesses, focused on structure, speed, and clarity in customer communication.