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Time of India
01-08-2025
- Business
- Time of India
Poonawalla fincorp deploys 4 AI solutions in operations and finance
Poonawalla Fincorp Limited (PFL), a Cyrus Poonawalla Group-promoted NBFC focused on Consumer and MSME lending, today announced the deployment of four AI-led solutions, comprising one Agentic AI solution and three AI-powered systems, as part of its enterprise-wide digital transformation journey. These include an Agentic AI powered Data Quality Index (DQI), an Infrastructure Management Solution , a proprietary Fin-Bot for financial intelligence, and an AI-led Invoice Management System, all aimed at enhancing speed, precision, and scalability across key business functions. These deployments reflect PFL's continued shift toward building an organisation where AI becomes foundational to how the business operates and scales. Rather than solving in silos, the company is focused on deploying systems that can learn, adapt, and deliver impact across functions, from risk and compliance to infrastructure and finance. Each solution is designed to simplify complexity with clarity, and accelerating the company's ambition to lead as a digitally confident, operationally agile NBFC. Arvind Kapil, Managing Director & CEO of Poonawalla Fincorp, said: 'We're not treating AI as a one-time upgrade. It's a long-term capability we are building deliberately across the organisation, grounded in responsible use and real business relevance. Our aim is to embed intelligence into the very fabric of how we operate, enabling faster decisions, sharper insights, and stronger outcomes. This is about shaping an organisation that is not just digitally enabled, but fundamentally future-ready.' 1. Agentic AI for Data Quality Index (DQI): PFL has unveiled an agentic AI solution for DQI , designed to autonomously drive operational data integrity at scale. It is a self-driven system that understands internal business needs and external regulatory requirements, reduces manual intervention, and delivers audit-ready transparency . With features such as anomaly detection , self-adaptive validation logic that evolves with new requirements, and context-aware data validation , the solution empowers smarter, compliant, and scalable operations across business lines. 2. AI-Powered Infrastructure Management Solution: PFL also introduced an AI-powered infrastructure solution that streamlines property acquisition to facilitate its 400 phase-wise branch expansion across Tier 2 and Tier 3 cities. The solution validates regionally prepared legal documents, such as title deeds, municipal records, and NOCs, through multilingual translation and intelligent data extraction. It generates internal validation reports that cross-check external Title Search Reports, enhancing governance, reducing human error, and enabling decisions in under 5 minutes after document upload, compared to the earlier 2–3 day turnaround. 3. Fin-Bot for Financial Intelligence: Expanding its transformation efforts into finance operations, PFL introduced Fin-Bot, an advanced AI-powered financial intelligence solution, designed to deliver precision-driven financial analysis backed by meaningful insights on both internal and competitive performance. Developed entirely in-house, the solution aggregates data from multiple systems into a centralized repository and offers customized reports across key financial metrics. It enhances governance by reducing the risk of errors and enabling informed decision-making, while significantly improving turnaround times for disclosures. 4. AI-Powered Invoice Management Solution: PFL also introduced an AI-powered invoice management solution that automates the reading and validation of sourcing channel invoices based on predefined policies and compliance standards. By harnessing machine learning and AI-vision models, the system enhances accuracy, reduces manual effort, and expedites processing, allowing the finance team to handle surging invoice volumes with improved precision. The solution supports scalable, policy-driven approvals across departments, streamlining financial workflows, minimizing operational overhead, and empowering teams to focus on more strategic initiatives. At PFL, AI will emerge as a strategic differentiator and game-changer across core areas, right from risk calibration and fraud detection to marketing, compliance, HR, governance, audit, and underwriting quality assessment. The company is actively scaling its AI efforts with 35 projects, of which 8 have been successfully completed. PFL continues to deepen its commitment to its AI-first approach, driving intelligent automation, accuracy, and future-ready innovation.
Business Standard
31-07-2025
- Business
- Business Standard
Poonawalla Fincorp adopts AI solutions for its digital transformation
Poonawalla Fincorp announced the deployment of four AI-led solutions, comprising one Agentic AI solution and three AI-powered systems, as part of its enterprise-wide digital transformation journey. These include an Agentic AI powered Data Quality Index (DQI), an Infrastructure Management Solution, a proprietary Fin-Bot for financial intelligence, and an AI-led Invoice Management System, all aimed at enhancing speed, precision, and scalability across key business functions. These deployments reflect PFL's continued shift toward building an organisation where AI becomes foundational to how the business operates and scales. Rather than solving in silos, the company is focused on deploying systems that can learn, adapt, and deliver impact across functions, from risk and compliance to infrastructure and finance. Each solution is designed to simplify complexity with clarity, and accelerating the company's ambition to lead as a digitally confident, operationally agile NBFC.
Time of India
02-07-2025
- Business
- Time of India
RBI seeks 'borrower ID' to reduce credit score errors
RBI MUMBAI: RBI has mooted a unique, secure borrower identifier to avoid duplication and misreporting of data with credit bureaus, and to improve loan access for borrowers. "Credit information companies rely on credit institutions to provide accurate and validated IDs. Without this, duplication and misreporting remain risks. We must move towards a unique borrower identifier, which is secure, verifiable, and consistent across the system," RBI deputy governor M Rajeshwar Rao said in his keynote address at the 25th anniversary of TransUnion Cibil. He stressed the importance of better data practices for empowering borrowers. The suggestion comes as RBI pushes for a unified lending interface - a digital platform that lets lenders access verified borrower data. Much like UPI lets users send money to any bank, ULI allows multiple lenders to offer credit to a single borrower. Rao said that RBI is testing use of programmable digital rupees (CBDC) to give loans with restricted acceptance of the digital currency. This would start with a pilot for tenant farmers under the kisan credit card scheme. If successful, this could help extend collateral-free loans to small businesses, street vendors, and artisans, while creating digital records that make future lending easier. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Tinnitus: what this grandson discovered will surprise you Hearing Magazine Undo The deputy governor said that RBI has taken several policy measures taken to reduce information asymmetry, enhance data quality and improve customer satisfaction. These included free access to full credit reports, appointment of internal ombudsmen, and redressal frameworks linked to delayed corrections. With the introduction of the Data Quality Index and mandatory disclosures on wilful defaulters, he said, CICs are now more transparent and accountable. Rao also drew attention to the rapid expansion of digital infrastructure in credit delivery. "The convergence of Jan Dhan accounts, Aadhaar and mobile phones, popularly known as the JAM trinity, UPI and ULI, represents a significant advancement in India's digital lending infrastructure," he said. Rao noted the potential of alternative data, AI and machine learning in expanding access to underserved borrowers. "It seems that time is not far when alternative data will no longer be alternate, but it will be the mainstream," he remarked. Similarly, the proposed Grameen Credit Score aims to help SHG members and rural borrowers enter the formal financial system. Despite this progress, he struck a note of caution: "We must remain cognizant of the need for addressing issues around data accuracy, data security, and model risk." Responsible innovation, he said, must uphold the core values of integrity, transparency and public service. Stay informed with the latest business news, updates on bank holidays and public holidays . AI Masterclass for Students. Upskill Young Ones Today!– Join Now
