Led the design of an internal AI platform to build, deploy, and analyze AI agents for campaigns and customer support.

📌 Overview

Product: AIRO

Company: CARS24 (Internship Project)

Team: GenAI Team (2 backend+2frontend+1APM+1designer)

Role: Design Lead (Intern)

Duration: 6 Weeks

Platform: Web

Summary:

AIRO is an internal tool built to empower different business pods at CARS24 to create, manage, and monitor AI-powered agents (chatbots & voicebots). The platform brings together agent configuration, campaign lifecycle management, and performance analytics into one cohesive system.

🧩 The Problem

CARS24 was experimenting with AI agents for lead engagement and customer service, but the workflows were disconnected, manual, and non-scalable.

Core Issues:

• No unified platform: Different pods had different bot-building approaches.
• High dependency on tech teams: Non-tech users couldn’t independently launch campaigns or configure bots.
• Lack of insights: Once campaigns were launched, teams had no way to measure how well the bots performed or whether leads engaged meaningfully.

The company needed a modular, scalable system that could handle the full lifecycle of an AI agent: from creation → deployment → analysis.