Trends

Stay updated on emerging shifts, innovations, and priorities shaping the lending ecosystem.

Co-Lending Models: The Operational Backbone Banks and NBFCs Need

A co-lending arrangement between a bank and an NBFC (non-banking financial company) sounds simple on a term sheet: two lenders, one borrower, one agreed split of the loan. In practice,...

BNPL for SMEs: How B2B Buy Now Pay Later Actually Gets Underwritten

B2B buy now pay later is one of several models designed to provide short-tenor working capital at the point of a business transaction. In India, its regulatory treatment depends on...

SCF Adoption in Emerging Markets: Barriers and Opportunities Beyond India

The global trade finance gap remained at an estimated $2.5 trillion in 2025, unchanged from 2023, according to the Asian Development Bank. UNCTAD estimates that Africa represented about 2.4% of...

Digital Lending Fraud: How Synthetic Identity and Document Fraud Are Evolving

Synthetic identity theft accounted for 11% of reported fraud in LexisNexis Risk Solutions’ 2026 Cybercrime Report, up from 1.4% in the prior year. The report analysed activity across the LexisNexis...

Data Privacy in Lending: The DPDP Act and What It Means for Lenders

A lender may hold identity documents, income data, bureau reports, bank statements, device information and repayment histories across several systems and service providers. The Digital Personal Data Protection Act, 2023...

RBI Digital Lending Guidelines: What They Mean for Loan Origination Platforms

Digital NBFCs sanctioned 13.2 crore loans worth ₹2.15 lakh crore in FY2025-26, according to FACE’s March 2026 report. At that scale, the RBI (Digital Lending) Directions, 2025 make fund-flow, disclosure...

Automation vs Orchestration in Lending: What Comes Next

Generative AI reached 45% adoption among working-age adults in the United States within two years. And digital banking took fifteen years to reach this pace, according to McKinsey’s Global Banking...

The Intelligence Gap in Lending Operations

Grant Thornton’s 2026 AI Impact Survey identifies workforce enablement, data readiness and process redesign as material constraints on AI value. Training was the most underfunded AI investment area among finance...

Why Lending Transformation Fails When Systems Stay Fragmented

KPMG’s 2026 banking technology research identifies integration with existing systems and processes as the leading barrier to enterprise AI deployment. The wider lesson applies to lending modernization: a lender can...

Why Banks, NBFCs, and Fintechs Are Re-Architecting Around Small Language Models

For the past several years, financial institutions have focused on whether generative AI can perform useful work. As pilots move toward production, the more consequential question is architectural: what is...

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