OpenAI disclosed that Cars24 is handling more than a million AI conversation minutes a month through voice and chat agents, making the India-based used-car marketplace a broad customer and internal workflow deployment rather than a single support bot.

The official case study lists OpenAI APIs for buying, selling, financing, follow-up and support workflows.

It also describes a rollout of ChatGPT Enterprise and Codex across central teams in engineering, finance, legal, marketing and operations.

Cars24 operates in India and also has operations in the UAE and Australia, according to OpenAI.

The case study describes the business as covering discovery, financing, resale and post-purchase services in a used-car market where many transactions still involve calls, document checks and follow-ups across several days or weeks.

Cars24 Uses OpenAI APIs Across Buying And Selling

Cars24 built AI-powered voice and chat agents for the middle and bottom of its sales funnel, according to OpenAI.

Buyers can use the agents to discuss budget, family size, commute needs and preferred car type before receiving catalogue recommendations, booking test drives or exploring financing.

The workflow continues after a visit.

OpenAI's case study describes agents that follow up with buyers before and after test drives, while seller-side agents collect vehicle details, schedule inspections, send reminders, help reschedule missed appointments and gather competitive information when a customer has sold elsewhere.

Vikram Chopra, a Cars24 builder, described car buying in India as a journey rather than a single transaction.

He said Cars24 now handles over a million conversation minutes a month through AI, giving customers a more consistent experience at scale.

Codex Supports Engineering And Finance Workflows

Cars24 has deployed Codex across its software development lifecycle, according to OpenAI.

Product managers use it to create and refine Linear tickets, engineering teams tag it into bug reports, and Codex summarises work across GitHub before posting updates for teams.

The case study places Linear at the centre of a project-management shift completed in a matter of weeks.

Across product, design and engineering teams, Codex now supports ticket creation, task grooming, implementation, bug resolution and updates.

Jayesh Gupta, Builder—AI & Innovation at Cars24, described Codex spreading beyond engineering faster than expected.

Product managers, finance teams and daily workflows changed after the deployment, he said, not only the process of writing code.

ChatGPT Enterprise Reaches 600 Central Employees

OpenAI listed ChatGPT Enterprise and Codex deployment to about 600 employees across Cars24's central organisation, with 85% to 90% daily active usage.

The case study describes AI as both a customer-engagement layer and an internal operating layer for the business.

Finance and investor-relations teams use Codex to pull numbers from systems of record, run analysis and prepare reporting workflows, according to the case study.

Another finance workflow reviews purchase requests and purchase orders above a defined threshold, checks for anomalies, flags concerns and auto-approves requests when no issues are found.

Cars24 staff have also linked “chief of staff” agents with Slack, Gmail, WhatsApp and other systems for communication, scheduling, hiring workflows and follow-ups.

OpenAI did not disclose Cars24's API spend, named model versions, audited conversion lift, customer-retention data, security-review results or measured cost savings from the deployment.