How AI, UPI and India’s Digital Public Infrastructure Are Rewriting the Future of Financial Inclusion
From Jan Dhan to AI-driven credit scoring, India is building a new financial architecture for the digital age
UPI has effectively democratised digital payments by enabling low-cost, interoperable and instant money transfers between bank accounts through mobile devices.
New Delhi: India’s financial inclusion story is no longer merely about opening bank accounts. It is rapidly evolving into one of the world’s most ambitious experiments in building an AI-powered, data-driven and digitally interconnected financial ecosystem at population scale.
Over the past decade, the convergence of Digital Public Infrastructure (DPI), Artificial Intelligence (AI), mobile connectivity and real-time payments has transformed India from a largely underbanked economy into one of the most digitally integrated financial systems globally. What began with the Jan Dhan-Aadhaar-Mobile (JAM) trinity has now expanded into a sophisticated architecture of interoperable digital platforms enabling instant payments, AI-led lending, multilingual banking, fraud detection and consent-based financial data sharing.
The transformation is especially significant for millions of Indians traditionally excluded from formal finance — including MSMEs, informal workers, rural households, first-time borrowers and women-led enterprises. AI is now helping financial institutions move beyond conventional credit scoring systems and assess borrowers using alternative digital footprints such as GST filings, utility bills, UPI transactions and bank statements.
India’s Financial Inclusion Journey Enters a New Phase
India’s financial inclusion efforts were historically focused on expanding physical banking access. However, the emergence of interoperable digital infrastructure has fundamentally altered the scale and speed at which financial services can now be delivered.
At the centre of this transformation lies the JAM trinity — Jan Dhan accounts, Aadhaar and mobile connectivity.
According to the government, India has generated more than 144 crore Aadhaar numbers, creating one of the world’s largest digital identity systems. Jan Dhan bank accounts have grown from 14.72 crore in 2015 to over 58.16 crore by April 2026, with deposits crossing ₹3.02 lakh crore. Meanwhile, mobile connectivity has expanded dramatically, with over 125 crore wireless subscribers and 5G coverage reaching nearly all districts in the country.
This combination has enabled the creation of a highly scalable digital financial ecosystem where identity verification, direct benefit transfers, payments and lending can occur seamlessly and instantly.
UPI Has Become India’s Digital Financial Rail
Perhaps no innovation better represents India’s digital transformation than the Unified Payments Interface (UPI), which has emerged as the backbone of India’s retail payment ecosystem.
In March 2026 alone, India processed nearly 2,264 crore UPI transactions worth ₹29.53 lakh crore. With 691 banks live on the platform, UPI now accounts for approximately 81 per cent of India’s retail payment volume.
UPI has effectively democratised digital payments by enabling low-cost, interoperable and instant money transfers between bank accounts through mobile devices. It has become the default payment infrastructure not only for urban consumers but also for street vendors, kirana stores, gig workers and rural merchants.
The rise of UPI has also generated massive volumes of transactional data, which AI-driven financial systems are increasingly using to assess financial behaviour and build dynamic credit profiles for individuals and businesses.
AI Is Replacing Traditional Credit Scoring
One of the most disruptive developments in India’s financial ecosystem is the rise of AI-based alternative credit scoring models.
For decades, formal credit access in India remained restricted largely to salaried individuals or businesses with extensive documentation and credit histories. Millions of MSMEs and informal workers remained dependent on high-cost informal lending because they lacked conventional CIBIL scores.
AI is now changing that equation.
By leveraging alternative datasets — including UPI transactions, GST filings, utility payments, bank account behaviour and mobile usage patterns — AI-powered underwriting systems can evaluate the creditworthiness of borrowers previously invisible to formal banking systems.
The report estimates that AI-driven lending models could unlock an economic value opportunity of $130–170 billion by narrowing India’s credit gap for MSMEs and underserved populations.
Unified Lending Interface: The Next UPI for Credit?
India is now attempting to replicate the success of UPI in the lending ecosystem through the Unified Lending Interface (ULI).
ULI is designed as a Digital Public Infrastructure for credit delivery, integrating financial institutions and multiple data providers through standardised APIs. The platform enables frictionless access to various financial and non-financial datasets — including land records, authentication services and satellite data — to support rapid credit assessment and loan approvals.
As of December 2025:
- 64 lenders, including 41 banks and 23 NBFCs, had joined the platform
- over 136 data services were being used across 12 different loan journeys
- expansion plans were underway to include Regional Rural Banks and District Central Cooperative Banks
If scaled successfully, ULI could dramatically reduce paperwork, approval delays and transaction costs associated with lending in India.
Account Aggregators Are Creating a Consent-Based Financial Data Economy
Complementing these innovations is the Account Aggregator (AA) framework introduced by the Reserve Bank of India.
The AA ecosystem allows individuals and businesses to securely share financial data across institutions with explicit consent, eliminating the need for repetitive documentation during loan applications or financial planning.
More than 2.6 billion accounts are now enabled for data sharing under the AA framework, while nearly 253 million users had linked their accounts by December 2025.
This consent-driven architecture is emerging as a critical foundation for AI-based financial systems, as it allows lenders and fintech firms to access verified, structured financial information in real time.
AI Is Also Strengthening Fraud Detection and Financial Security
As digital financial activity expands, cybercrime and financial fraud have also become major concerns.
To address this challenge, the Reserve Bank Innovation Hub launched MuleHunter.AI in December 2024 — an AI-powered system designed to identify mule bank accounts used for money laundering and cybercrime.
Unlike conventional rule-based systems, MuleHunter.AI analyses transaction patterns in real time to detect anomalies associated with illegal financial activity.
Pilot projects conducted with large public sector banks reportedly showed encouraging results, prompting the RBI to encourage broader adoption across the banking ecosystem.
India Is Building Multilingual AI for Banking
Another critical dimension of financial inclusion is language accessibility.
In February 2026, the Digital India BHASHINI Division and the RBI signed an agreement to integrate BHASHINI’s language AI models into banking services.
The initiative aims to provide multilingual access to banking and financial services across all 22 scheduled Indian languages. A domain-specific model called “Banking BHASHINI” is also being developed to incorporate banking vocabulary, regulatory terminology and industry-specific applications.
This could become a major enabler for financial inclusion in rural and semi-urban India, where language barriers continue to restrict access to formal financial systems.
From Financial Inclusion to Financial Intelligence
India’s financial ecosystem is no longer merely digitising transactions. It is moving towards intelligent financial infrastructure where AI systems can personalise services, predict risks, automate compliance and deliver real-time financial insights.
Government-backed initiatives such as Digital ShramSetu are also attempting to integrate India’s nearly 490 million informal workers into AI-driven digital ecosystems that combine skilling, social protection and financial inclusion.
Together, these initiatives reflect a larger strategic shift: India is trying to create not just a digitally connected economy, but an AI-enabled financial architecture capable of operating at unprecedented scale.
The Global Significance of India’s Model
What makes India’s approach globally significant is the combination of public digital infrastructure, regulatory innovation and private-sector fintech participation.
Unlike many advanced economies where financial innovation remains fragmented across private platforms, India is building interoperable public digital rails that allow startups, banks and government agencies to innovate on top of shared infrastructure.
This architecture is increasingly being viewed internationally as a scalable model for digital inclusion in developing economies.
As the report concludes, India’s financial inclusion journey is transitioning “from expanding access to enabling intelligent, AI-driven financial empowerment at scale.”
If the current momentum continues, India may not only redefine financial inclusion for itself but also emerge as a global template for building inclusive digital economies in the AI era, the government said in a statement.
