AI voice agents are no longer playthings that are being tested out — they are leading to real-world results at some major companies.
Bajaj Finance, one of India’s largest non-banking financial companies, has revealed that AI-powered call centers now account for approximately 10% of its loan disbursements in Q3 FY26. CEO Rajeev Jain disclosed in an earnings call that the company deployed AI voice agents to handle customer acquisition calls in the third quarter, converting voice conversations to text and extracting valuable data. This text-to-data conversion processed 5.2 lakh (520,000) customer interactions, generating 100,000 new loan offers for which the company previously lacked the information to make.
The results were significant: call center volumes reached approximately ₹1,600 crore, representing 10% of Bajaj Finance’s total ₹16,545 crore in disbursals during Q3 FY26. Data extracted from these AI-powered calls contributed to an additional ₹525 crore in loan volumes, marking what Jain described as “just our first attempt.”
The technology deployment addresses a critical gap that existed in previous quarters. According to Jain, this AI capability to process and analyze customer calls at scale “did not exist in Q1 and Q2” of the fiscal year, representing a rapid implementation and scaling of the technology.
The company’s ambitions extend well beyond current achievements. Jain indicated that Bajaj Finance expects to process 100 million AI-powered calls in the coming year, with loan disbursements flowing directly through these automated interactions.
The financial services giant plans to invest heavily in expanding this capability. Over the next six months, Bajaj Finance intends to hire more than 800 autonomous AI agents across its sales, collections, risk assessment, and dealer management systems (DMS) operations for the next fiscal year.
This deployment at Bajaj Finance represents one of the most concrete examples yet of AI voice technology moving from experimental pilot programs to core business operations at a major financial institution. The scale of implementation — from zero capability in the first half of the fiscal year to 520,000 processed calls generating substantial loan volumes by Q3 — demonstrates both the rapid maturation of AI voice technology and enterprise willingness to deploy it for revenue-critical functions. Voice AI startups are also becoming large companies in their own right — Eleven Labs was recently valued at $11 billion in a fresh funding round. And with seemingly traditional companies also deploying AI voice agents at scale, it appears that AI voice interactions will become a lot more commonplace in the coming months.