What Does It Mean to Scale Conversations With AI

CARS24 scales conversations with OpenAI by building AI voice and chat agents that handle every stage of buying and selling a car in India. This is not a simple chatbot. It is a full conversation system covering initial inquiries, test drive scheduling, post-visit follow-ups, and post-purchase support. The same structure applies to sellers: inquiry, inspection, and re-engagement.

The numbers are impressive. CARS24 handles over 1 million AI conversation minutes every month. Customer support resolution rates jumped by 50%. Turnaround time across key workflows dropped by 80%. And here is the real eye-opener: they recovered 12% of previously lost seller leads that had been written off after ten days of silence.

For an Indian SME, this means you can automate customer conversations without losing the personal touch. Whether you run a service business in Chennai or a retail store in Mumbai, AI agents can handle routine queries, schedule appointments, and follow up with leads automatically. You free up your team to focus on high-value work.

Why This Matters for Indian SMEs

Recovering Lost Revenue Without Extra Effort

Every SME loses leads. A customer calls, asks a question, and goes silent. Ten days later, you mark them as lost. CARS24 proved that AI agents can re-engage these leads. By building agents that automatically check in with silent sellers, they recovered 12% of those leads. For a small business, that could mean thousands of rupees in recovered revenue every month.

Reducing Response Times Builds Trust

Indian customers expect fast responses. If your business takes hours to reply, they move to a competitor. CARS24 reduced turnaround time by 80% across key workflows. Their AI agents handle initial questions instantly, schedule inspections, and send reminders. Your business can do the same with a custom AI agent that integrates with your existing systems.

Scaling Without Hiring More Staff

Hiring is expensive and slow. AI agents let you scale conversations without adding headcount. CARS24 handles over 1 million minutes of AI conversations monthly. That is the equivalent of dozens of full-time employees. For an SME, this means you can offer 24/7 support without a night shift team.

Spreading AI Across Departments

Codex, OpenAI’s coding tool, started in CARS24’s engineering team. Within weeks, it spread to finance, legal, investor relations, and operations. Employees built “chief of staff” agents that manage scheduling, coordination, and follow-ups across Slack, Gmail, and WhatsApp. This shows that AI is not just for tech teams. Any department can benefit.

Step-by-Step Guide to Replicate CARS24s Approach

• 1. Map your customer journey. CARS24 identified four stages for buyers and three for sellers. Do the same for your business. Write down every touchpoint from first contact to post-purchase. Include follow-ups and reminders.
• 2. Start with one high-volume conversation. Pick the conversation that eats up most of your team’s time. For CARS24, it was the initial buyer call. Build an AI agent that handles that single stage first. Measure resolution rate and response time before expanding.
• 3. Use voice and chat together. Some customers prefer voice calls. Others want WhatsApp or website chat. CARS24 built both. Your AI agent should work across channels. A custom AI automation can handle inbound calls, WhatsApp messages, and chatbot conversations from one system.
• 4. Build for re-engagement. CARS24’s AI agents automatically re-engage silent leads after ten days. Set up a similar workflow. Use your CRM to identify leads that have not responded. Have your AI agent send a friendly check-in message or make a follow-up call.
• 5. Deploy Codex or similar tools across teams. Codex helped CARS24’s finance team prepare investor reports and review purchase orders. Start with one non-engineering team. Give them a simple agent that automates repetitive tasks like scheduling, data entry, or report generation.
• 6. Measure and iterate. CARS24 tracks conversation minutes, resolution rates, and turnaround times. Set up dashboards for these metrics. Adjust your AI agent’s scripts and triggers based on real data. Treat it as a continuous improvement process.

Common Mistakes to Avoid When Scaling AI Conversations

Mistake 1: Building Without a Clear Journey Map

Many SMEs jump straight to building a chatbot without mapping the customer journey first. This leads to an agent that handles some questions but misses others. CARS24 built agents for each stage separately. Start with a pen-and-paper map of your buyer and seller journeys. Then build your AI agent around those stages. If you need help, consider AI strategy consulting to plan your approach.

Mistake 2: Ignoring Re-engagement Workflows

Most businesses treat a silent lead as a lost cause. CARS24 proved that 12% of those leads are recoverable. Build a re-engagement workflow into your AI agent. Set a trigger for leads that have been silent for a specific number of days. Have the agent send a personalised message or make a short follow-up call. This simple addition can recover significant revenue.

Mistake 3: Keeping AI in the Engineering Team Only

CARS24’s Codex tool spread to finance, legal, and operations because employees saw its value. If you restrict AI access to developers, you miss out on productivity gains across the business. Give your teams simple AI agents for scheduling, reporting, and coordination. Train them on how to use the tools. The results will surprise you.

Mistake 4: Not Tracking the Right Metrics

If you do not measure resolution rates, turnaround times, and conversation volumes, you cannot improve. CARS24 tracks these metrics monthly. Set up a simple dashboard that tracks your AI agent’s performance. Look at what is working and what is not. Adjust your scripts and triggers regularly.

Comparison of AI Conversation Tools for Indian SMEs

Not every SME needs to build from scratch like CARS24. Several tools offer ready-made AI conversation capabilities that you can customise for your business. The table below compares popular options based on features relevant to Indian SMEs.

Choosing the right tool depends on your budget, technical capability, and customer volume. For Indian SMEs with limited technical resources, working with a partner like NaviGo Tech Solutions can help you build a custom AI agent without an in-house engineering team. The key is to start small, measure results, and scale what works.