Paisalo Digital Limited has updated stock exchanges regarding its upcoming board meeting scheduled for May 10, 2026, originally intimated on April 22, 2026. In a subsequent filing dated May 05, 2026, the company informed exchanges that the board will additionally consider the issuance of Non-Convertible Debentures (NCDs) through a public issue, supplementing the agenda items already disclosed. The meeting is being held in compliance with Regulation 29 of SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015.

Board Meeting Agenda

The board meeting will address several critical business items, including the newly added NCD public issue consideration:

Trading Window Closure

In accordance with the company's Code of Conduct for Prohibition of Insider Trading under SEBI regulations, Paisalo Digital has implemented a trading window closure. The trading window for dealing in the company's securities closed on April 1, 2026, and will remain closed until 48 hours after the financial results and board meeting outcomes are made public.

Regulatory Compliance

The board meeting intimations were sent to both BSE Limited and National Stock Exchange of India Limited. The company has also marked the communication to AFRINEX Exchange Listing Centre and India International Exchange (IFSC) Ltd. The company has multiple Non-Convertible Debentures and Commercial Papers listed on the exchanges.

The updated agenda reflects the company's intent to explore both private placement and public issue routes for NCD fundraising, alongside its standard quarterly corporate governance obligations of reviewing annual performance and making decisions regarding shareholder returns.

Paisalo Digital has officially announced its comprehensive transition to an AI-led lending platform through a formal press release dated April 22, 2026, submitted under Regulation 30 of SEBI (LODR) Regulations, 2015. The company has revealed specific details about its advanced AI infrastructure and ambitious growth targets to double key financial metrics within three years.

Live AI Infrastructure and Operational Scale

The company's AI transformation is already operational with substantial infrastructure investments. Paisalo Digital has deployed advanced technology capabilities that are currently delivering measurable results across its lending operations.

End-to-End AI Integration Across Credit Lifecycle

The transformation encompasses every aspect of Paisalo Digital's lending operations, from customer acquisition to risk management. The AI-powered platform integrates advanced capabilities across multiple operational layers to drive scalable and inclusive growth.

Customer Acquisition and Digital Onboarding

AI-led sourcing engines are driving higher-quality borrower acquisition at reduced costs. The company has implemented fully digital onboarding processes using eKYC and Account Aggregator frameworks, reducing loan turnaround time from days to minutes and unlocking significant operating leverage.

Advanced Credit Decisioning and Risk Management

A proprietary AI/ML credit engine integrates bureau data, banking behavior, and alternative datasets to enable real-time approvals, dynamic pricing, and superior fraud detection. Advanced predictive analytics continuously monitor portfolio health, allowing early identification of stress signals, reduced delinquencies, and optimized collections efficiency.

Strategic Growth Targets

Paisalo Digital has established clear financial objectives as part of its AI-powered transformation, positioning itself as a fast-growing AI-led financial institution in India.

Management Perspective

Santanu Agarwal, Deputy Managing Director, emphasized the strategic significance of this transformation: "Our transition to an AI-first lending platform is a step-change in our operating model. With AI embedded across acquisition, underwriting, and servicing—and with infrastructure already live and in-progress—we are well positioned to scale faster, improve margins, and deliver industry-leading returns."

The company's cloud-native architecture, AutoML pipelines, and multilingual AI engagement systems create a future-ready, RBI-compliant platform capable of scaling exponentially without proportional cost increases, establishing the foundation for achieving ambitious growth targets in the competitive digital lending market.