
This paper examines the transition of India's financial sector from infrastructure-centric digital public infrastructure to AI-driven governance frameworks. This report looks at how the Unified Payments Interface ecosystem, which made 19.47 billion transactions worth ₹25.08 lakh crore in July 2025, sets the stage for the RBI's Framework for Responsible and Ethical Enablement of Artificial Intelligence to be put into action. The mixed-methods research combines an interrupted time-series design focused on the August 2025 FREE-AI declaration with an analysis of policy documents related to digital payments, data protection, and credit infrastructure. The main sources of data are NPCI transaction data, Account Aggregator adoption metrics that show 100 million consents by August 2024, and PTPFC pilot implementation data that has been available since August 2023. The methodology creates an Intelligent Financial Governance Quality index that measures how much progress has been made in the areas of fairness, consumer protection, and supervisory effectiveness in each sector. Early research shows that UPI's high transaction volume and the Account Aggregator framework's 1059% growth in FY 2023-24 provide enough scale for FREE-AI's governance systems. The report says that India's progressive policy development in areas like payment systems, data protection, and AI governance creates measurable bases for smart financial control while still respecting people's privacy and following the rules.
intelligent financial governance quality (IFGQ), framework for responsible and ethical enablement of artificial intelligence, unified payments interface, DPI-enabled credit integration, AI governance maturity, data protection compliance, digital payments
intelligent financial governance quality (IFGQ), framework for responsible and ethical enablement of artificial intelligence, unified payments interface, DPI-enabled credit integration, AI governance maturity, data protection compliance, digital payments
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
