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AI & Business

OMNIA

Project Overview

An AI-powered business operations platform that manages conversations, knowledge, and follow-ups for multiple companies within one architecture.

Problem Addressed

Companies handle messages, customer information, follow-ups, and tasks through separate tools, and traditional auto-reply systems don't understand a company's specific knowledge or operational context.

My Role

I designed the multi-tenant platform architecture and built the message-intake flow — webhook processing, resolving the message to the correct company, knowledge retrieval, running the AI model, and sending the reply.

How It Works

A customer sends a message through an integrated channel, the provider forwards the event, and a webhook receives it. The platform resolves the correct company tied to that conversation, the knowledge layer retrieves information specific to that company, and the AI engine uses this context to generate an appropriate reply or action. The reply service sends the response back through the same channel, and a follow-up or task can be created from the conversation when needed.

What I Implemented

  • A multi-tenant architecture that separates each company's data and knowledge
  • Webhook processing for incoming Instagram messages
  • A company-specific knowledge retrieval layer
  • A daily Today view for tasks and priorities
  • Missions and follow-ups
  • A Business Advisor that suggests actions

Technologies Used

Next.jsTypeScriptPythonFastAPI

Current Status

Active development — a real, end-to-end messaging integration via Instagram has been implemented.