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TrustPaisa shifts to AI-driven loan approvals in India

TrustPaisa shifts to AI-driven loan approvals in India

Fri, 5th Jun 2026 (Today)

TrustPaisa has moved to fully autonomous, AI-driven decisioning for consumer finance applications in India. All applications are now processed in real time without manual intervention.

Fingular, the Singapore-headquartered fintech group behind the brand, said the new system evaluates each application within seconds, from submission to final determination. It applies partner-approved credit policies, risk parameters, customer consent and regulatory requirements as part of the decision process.

The shift moves a core lending workflow away from manual verification, which has now been removed entirely. Instead, artificial intelligence assesses permitted data points, including credit history information and other consent-based inputs, to support risk assessment within approved parameters.

That makes TrustPaisa one of a growing number of digital lenders automating front-end credit decisions in India's consumer finance market, where approval speed has become a key competitive factor. Real-time processing also helps lenders handle peaks in demand and applications submitted outside standard working hours more consistently.

Under the new model, specialists no longer review individual applications as part of the standard approval flow. Their role has shifted to monitoring processing quality and overseeing final decision controls, while risk and AI teams set policies, track performance, and validate outcomes.

Fingular said embedded risk controls and ongoing model testing are designed to keep outcomes consistent and auditable. The framework is also intended to handle larger application volumes without weakening controls, compliance or processing quality.

For customers, the immediate effect is a faster application journey with instant outcomes available at any time, according to the company. Another stated goal is consistency, with the same evaluation standards applied across all applications rather than depending on manual review capacity or timing.

Operational shift

The economic rationale is also central to the change. Removing manual verification from the application stage lowers the cost of evaluating each case, improves operational efficiency and supports portfolio resilience across different market conditions, according to the company.

Those cost and process gains matter in digital lending, where thin margins and high volumes often force companies to refine underwriting and servicing models. Automated decisioning can reduce staffing needs for repetitive review tasks, though it also increases the importance of governance, model monitoring and audit trails.

Digital consumer lending in India has expanded quickly, but the sector has also faced tighter scrutiny over underwriting standards, customer treatment and partner-led loan structures. TrustPaisa said its decision engine operates within partner-approved policies and applicable regulatory requirements, while lending-related obligations, such as sanctions and disbursals, remain with its regulated lending partners.

This distinction matters because many fintech brands in India operate as technology-led distributors or customer acquisition platforms rather than balance-sheet lenders. In such models, regulated financial institutions remain responsible for core lending obligations even when much of the customer journey is handled digitally.

Pushkar Prasad, Chief Executive Officer of TrustPaisa, set out the company's position on the transition.

"This transition marks an important step in the development of TrustPaisa's technology platform," he said. "By strengthening AI-enabled decisioning, we are improving speed, consistency and operational efficiency while ensuring that risk controls, governance and customer protection remain central to our approach."

Wider roadmap

The change forms part of a wider automation programme across the business. Fingular said its broader technology roadmap includes further automation in customer onboarding, servicing and collections, suggesting the company wants artificial intelligence to play a larger role across the credit lifecycle, not just at the approval stage.

Founded in Singapore, Fingular operates fintech products in markets including India, Malaysia and Indonesia. Its portfolio spans consumer financing and investment and savings products, delivered either under its own brands or with local partners.

The TrustPaisa update gives a clearer picture of how the group is positioning its India operation: as a digital finance business that relies more heavily on automated risk rules and machine-led processing to manage scale. Each application is now assessed within seconds, regardless of time or application volume, according to the company.