Greater Noida: The Board of LTF (L&T Finance), one of the leading Upper-Layer Non-Banking Financial Companies (NBFCs) in India, announced the financial results for the first quarter ended June 30, 2026 on Friday. Having successfully transitioned to an AI-enabled Retail lender under its Lakshya 2026 strategy, the Company as a part of its next 5-year strategic plan Lakshya 2031 is steadily working towards transitioning to an AI-native Retail financial services institution through cutting-edge in-house AI & Deep Tech stack. The Company offers Farmer Finance, Rural Business Finance, Two-wheeler Finance, Personal Loan, Home Loan and Loan Against Property (LAP), SME Finance, and Gold Finance. With a robust business model and super-fast solutions development cycle, LTF is dedicated towards building a high-quality risk calibrated retail lending franchise with equal dominance in urban and rural segments.
Sudipta Roy, Managing Director & CEO, LTF, said, “Q1FY27 was another quarter where we remained focused on disciplined execution amidst an evolving macroeconomic environment marked by geopolitical uncertainties, inflationary pressures and elevated borrowing costs. Despite these external factors, our diversified retail franchise continued to demonstrate resilience, delivering strong business momentum and healthy book growth in line with the goals of our Lakshya 31 strategic plan. Our consistent investments in technology, analytics and AI continue to be a key differentiator, both in terms of customer experience as well as credit outcomes. In our bid to transform into an AI-native organization, we are increasingly embedding our proprietary AI ecosystem across the entire lending stack from sourcing and underwriting through our in-house AI credit engine ‘Project Cyclops’ to portfolio monitoring through ‘Project Nostradamus’ and our expanding suite of in-house developed AI co-pilots and agents. These capabilities are enabling superior credit selection, improved customer experience, faster turnaround times and enhanced operating efficiencies, while strengthening the quality and sustainability of our growth.
The economy continues to exhibit resilience, supported by healthy government spending, improving infrastructure and sustained consumption trends. We are also pleased to note that our Rural Business Finance vertical has resumed its growth trajectory, with healthy business parameters across new customer acquisition, disbursement growth and collection efficiencies.
As we embark on the first full year of our Lakshya 31 journey, our focus remains on delivering consistent, profitable and high-quality growth. We will continue to invest in innovation, strengthen our distribution capabilities and enhance customer experience as we build a future-ready, AI-native financial institution that will be resilient across economic cycles.”
Developing digital finance delivery as a customer value proposition
The Company’s customer-facing PLANET app, which has emerged as a powerful digital channel for customers, crossed more than 2.5 Crore downloads as of June 30, 2026, comprising more than 20 Lakh customers on the Rural side. As of June 30, 2026, this channel has done collections of over Rs. 11,500 Crore while servicing over 14 Crore requests and has sourced loans of around Rs. 34,462 Crore.
Partner PLANET
The Company’s Partner PLANET app continues to strengthen digital engagement with its dealer network. As of June 30, 2026, the platform has onboarded over 4,400 dealers, facilitated more than 51,000 logins, and enabled trade advance (TA) withdrawals of over Rs. 590 Crore.
Outcome of AI Implementations
- Two-Wheeler ‘Project Cyclops’ portfolio shows significant outperformance in comparison to industry credit parameters with a lower delinquency rate in comparison to industry averages.
- In-house developed AI solutions and Co-pilots driving operational efficiencies: Co-pilots at LTF provide speed and deepen human decisions across underwriting, fraud detection, servicing and collections. For instance, Project Helios, SME underwriting co-pilot, which has now processed more than 40,000 files has successfully slashed SME underwriting turnaround times (TAT) by a wide margin. Other enterprise-wide AI Co-pilots like ‘Project Orion’, the ‘Project Nostradamus’ Portfolio Management Co-Pilot has serviced more than 3,000 business queries. ShighraM, the Mortgage Legal Process Automation Co-Pilot has processed over 4,000 files in 11 vernacular languages. Mortgage Policy and Pricing Assistant Co-Pilot has serviced more than 200 queries per day in 15 vernacular languages.
- AI- Powered proprietary in-house developed Gold Loan Origination System (LOS) ‘Project Canyon’, which features an in-house Agentic AI assistant ‘Ginni’ to support users alongside a context-aware asset capturing module has accelerated scale in gold finance operations. 60% of the ‘Project Canyon’ codebase has been generated using AI tools and combines 16+ integrated systems, 60+ application programming interface (APIs), and over 12 business services into a strong framework-based architecture designed to seamlessly adapt to market and regulatory changes.
- Focus on cost-optimisation through Private Cloud directly addresses the growing demands of the Company’s artificial intelligence and machine learning projects while simultaneously driving substantial cost optimisations. This shift enables the Company to leverage significant long-term savings, with analysis indicating that opensource private cloud is projected to be 70% cheaper than hyperscale clouds over a 5-year total cost of ownership (TCO).
