TLDR: Bajaj Finance has reported improved operating efficiency in the second quarter of fiscal year 2026, with its operating expenses-to-net total income ratio decreasing to 32.6% from 33.2% in the previous year. This enhancement is attributed to the ongoing and expanding deployment of its Artificial Intelligence initiative, FinAI, across various business lines. The company anticipates further cost and productivity benefits from AI implementation over the next 12 to 18 months.
Pune, India – Bajaj Finance, a leading non-banking financial company, has announced a notable improvement in its operating efficiency for the second quarter of the fiscal year 2026. The company’s operating expenses-to-net total income (opex to NTI) ratio saw a positive shift, improving to 32.6% in Q2 FY26 from 33.2% in the corresponding quarter of the previous fiscal year. This enhanced efficiency is a direct outcome of the company’s strategic expansion of its Artificial Intelligence (AI) initiative, dubbed ‘FinAI’.
During its Q2 FY26 concall, Bajaj Finance management highlighted that ‘AI implementation across each line of business continues to move forward.’ The company expects these AI deployments to ‘start to reflect in cost and productivity benefits over the next 12 to 18 months.’ This long-term vision underscores Bajaj Finance’s commitment to leveraging advanced technology for sustained operational excellence.
The FinAI initiative, a cornerstone of ‘Bajaj Finance 3.0,’ is designed to fundamentally transform various aspects of the business. Earlier statements from Rajeev Jain, MD of Bajaj Finance, emphasized FinAI’s ambitious goals, including tripling lead conversion rates, doubling back-office productivity, and boosting front-line performance by 1.5 times. The company also aims to reduce its operating cost-to-net-interest-margin ratio by 100 basis points over the next four years.
Bajaj Finance has been an early adopter of technology, integrating cloud infrastructure since 2007, utilizing data and decision science since 2013-14, and achieving full digitalization by 2022. This robust technological foundation, with 90% of its compute operations on Microsoft Azure cloud infrastructure and a data lake supporting hundreds of thousands of variables, has made the effective deployment of AI feasible.
Over the past year, Bajaj Finance has rigorously tested over 30 enterprise-level use cases for AI, validating its efficacy in areas such as customer engagement, cost reduction, and control improvement. The company projects significant productivity improvements, with frontline staff expected to see a 1.5x increase and back-office staff a 2x improvement, primarily through the automation of routine tasks. Conversational AI is a key application, transforming static SMS communications into interactive engagements that can personalize product suggestions and connect customers directly with dealers.
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While technology costs are expected to rise initially due to these investments, the anticipated savings from increased efficiency are projected to more than offset them, leading to augmented profitability. The company’s continued investment in digital platforms and technology-driven operations is central to enhancing customer experience and improving overall operational efficiency.
