FINANCIAL INNOVATION THROUGH FINTECH INTEGRATION: A CASE STUDY OF DIGITAL PAYMENTS, AL CREDIT SCORING, AND BLOCKCHAIN FOR INCLUSIVE GROWTH AND TRANSPARENCY IN INDIA

This study examines how the integrated adoption of FinTech technologies digital payment systems, artificial intelligence (Al)-based credit scoring, and blockchain-enabled transaction infrastructures affects financial inclusion, operational efficiency, and transparency in India. Using a qualitative case study approach supported by empirical evidence, the research analyzes a leading Indian FinTech platform during 2021-2024. Data were triangulated from approximately 2.5 million anonymized transaction records of active users, internal organizational documents, and semi-structured interviews with senior management, technology, and compliance teams. The findings indicate that sustained digital payment usage significantly strengthened financial inclusion, with active users increasing by 38% and transaction volumes rising by 53%. A rural-urban differentiation among active users shows that urban users exhibit higher transaction frequency and average transaction values, while rural users demonstrate faster adoption growth and a higher proportion of first-time borrowers, indicating accelerating inclusion in underserved regions. Al-based credit scoring reduced average loan processing time by 45% and increased approval rates for first-time borrowers by 27% without increasing default risk, highlighting its effectiveness in mitigating information asymmetry across geographic contexts. Blockchain implementation enhanced transparency by reducing transaction discrepancies by 32%, improving audit trail completion to 98%, and substantially lowering regulatory compliance issues.