Cars24, which operates one of the world's largest AI-native automotive ecosystems in India with operations in the UAE and Australia, deployed OpenAI-powered voice and chat agents to handle the multi-week, conversation-driven car-buying and selling process (OpenAI News). The company handles over a million conversation minutes a month through AI agents that support customers across discovery, test-drive booking, financing, follow-up, and post-purchase service (OpenAI News). For sellers, AI agents collect vehicle details, schedule inspections, send reminders, and re-engage customers who would have dropped out after 10 days (OpenAI News).
Beyond customer-facing agents, Cars24 deployed ChatGPT Enterprise and Codex across its central organization to approximately 600 employees in engineering, finance, legal, marketing, and operations, achieving 85% to 90% daily active usage (OpenAI News). Finance teams use Codex to pull data, run analysis, and prepare investor reporting without manual input chasing; another workflow uses Codex to review purchase requests above a threshold, flag anomalies, and auto-approve clean requests (OpenAI News). This shift reflects a broader move toward agentic workflows as an operating layer: employees build their own tools instead of waiting for centralized engineering support, with some teams deploying "chief of staff" agents that connect Slack, Gmail, WhatsApp, and other systems (OpenAI News).
For commerce practitioners, Cars24's model demonstrates how tying AI pilots to specific, high-volume business workflows—particularly in customer conversations and operational automation—enables rapid scaling. The company's 85–90% internal adoption rate and expansion from customer-facing agents to finance, legal, and marketing workflows suggests that agentic systems unlock value across the entire commerce operation when given clear business processes and system integration points.