AI-Powered Customer Communication System

📋 Project Overview

I built a next-generation communication system that transforms how businesses handle calls and texts. This setup combines Vapi and Twilio to automatically manage voice and SMS interactions through a single webhook, while an AI Agent (OpenAI) processes and stores conversations for smart follow-ups.

⚡ Problem

The client needed a way to streamline customer communication across calls and texts without constant manual intervention. Traditional systems lacked memory, required multiple platforms, and slowed down urgent response times.

💡 My Role & Responsibilities

System Architecture: Designed an end-to-end workflow connecting Vapi, Twilio, and OpenAI for seamless call/SMS handling.

Database Integration: Built a Postgres database to store conversation history and vector embeddings for AI memory.

Slack Alerts & Automation: Configured Slack notifications for urgent issues and automated follow-ups for routine interactions.

Testing & Optimization: Verified low-latency performance and reliable webhook operations.

✨ Key Features

Unified call + SMS management through one webhook.

AI-powered conversation analysis and memory of past interactions.

Automatic urgent alerts sent directly to Slack.

Smart follow-ups without human input.

Scalable Postgres storage with vector embeddings for contextual replies.

🛠️ Tech Stack

Vapi • Twilio • OpenAI API • Postgres • Vector Embeddings • Slack API • Webhooks

📈 Outcome

Reduced response times to near-instant levels.

Freed team members from routine customer service tasks.

Created a scalable framework that can grow with the client’s customer base.