AI Transforms India’s Public Banks

UPI, Data & AI: The New PSB Playbook

By Pratishtha Sehgal --
Wednesday, 09 Jul, 2025

India’s digital economy is gaining remarkable traction, propelled by ambitious government initiatives such as Digital India and the Jan Dhan-Aadhaar-Mobile (JAM) trinity. The Unified Payments Interface (UPI), in particular, has emerged as a cornerstone of this transformation, with over 17 billion transactions recorded monthly as of April 2025. Digital payments are expanding at a CAGR of more than 30%, making India one of the fastest-growing digital financial ecosystems in the world.

This digital surge is not just changing how Indians transact—it is generating massive volumes of data across banking and financial touchpoints. With increasing mobile penetration and the shift in consumer behavior toward online platforms, banks are now custodians of vast datasets—structured, semi-structured, and unstructured. This presents a unique opportunity to harness data for better decision-making, improved efficiency, and enhanced customer experience.

In this dynamic environment, public sector banks (PSBs) must act decisively. Traditionally reliant on manual processes and legacy IT systems, PSBs face growing competition from nimble fintech firms and private sector banks. Embracing artificial intelligence (AI) and data analytics is no longer optional—it is a strategic necessity for staying relevant, competitive, and inclusive in the digital age. At the same time, policy conversations are emerging around introducing a nominal charge—ranging from 0.2% to 0.3% of the transaction value—on UPI payments. While still significantly lower than card-based transaction fees, such a move could shape the future economics of digital payments in India.

AI enables banks to transition from a reactive to a predictive and prescriptive approach. By analyzing customer transactions, credit history, and alternative data sources like GST filings or utility payments, PSBs can better assess creditworthiness—especially for first-time borrowers and MSMEs with limited financial footprints. Predictive models also allow early detection of financial stress among borrowers, enabling banks to take preventive actions and reduce non-performing assets (NPAs). Additionally, demand forecasting helps branches optimize staffing and resource allocation, making operations more efficient.

Beyond prediction, AI drives personalized engagement. Advanced algorithms can segment customers and suggest tailored products—be it loans, savings accounts, or insurance—based on their behavior and needs. AI-powered chatbots and digital assistants streamline customer service, improving turnaround times and freeing staff for higher-value tasks. Automation also plays a critical role in areas like loan processing, fraud detection, and regulatory compliance, helping PSBs reduce operational risks and costs.

Adoption of AI also opens new avenues for financial inclusion. With multilingual support, voice recognition, and biometric tools, banks can serve customers in rural and semi-urban areas with greater ease. MSMEs benefit from AI-led credit evaluation and cash flow forecasting, receiving timely and right-sized funding without heavy paperwork or collateral requirements. Ultimately, AI contributes to making banking more responsive, inclusive, and profitable.

However, the road to AI transformation is not without challenges. PSBs face constraints in infrastructure, digital skills, and data management. Concerns around privacy, algorithmic bias, and ethical use of AI must also be addressed. To move forward, banks must modernize their IT systems, build data governance frameworks, reskill employees, and collaborate with fintechs, startups, and academic institutions. Several PSBs have already begun experimenting with AI-based tools. But to scale effectively, AI must become central to institutional strategy. A coordinated push—backed by the Ministry of Finance, RBI, and industry bodies—can accelerate this transition.

By unlocking the power of data and AI, public sector banks can not only predict and prescribe but truly prosper—delivering on their mandate of serving the public while achieving operational excellence.

UPI, Data & AI: The New PSB Playbook. India’s digital economy is gaining remarkable traction, propelled by ambitious government initiatives such as Digital India and the Jan Dhan-Aadhaar-Mobile (JAM) trinity. The Unified Payments Interface (UPI), in particular, has emerged as a cornerstone of this transformation, with over 17 billion transactions recorded monthly as of April 2025. Digital payments are expanding at a CAGR of more than 30%, making India one of the fastest-growing digital financial ecosystems in the world.

This digital surge is not just changing how Indians transact—it is generating massive volumes of data across banking and financial touchpoints. With increasing mobile penetration and the shift in consumer behavior toward online platforms, banks are now custodians of vast datasets—structured, semi-structured, and unstructured. This presents a unique opportunity to harness data for better decision-making, improved efficiency, and enhanced customer experience.

In this dynamic environment, public sector banks (PSBs) must act decisively. Traditionally reliant on manual processes and legacy IT systems, PSBs face growing competition from nimble fintech firms and private sector banks. Embracing artificial intelligence (AI) and data analytics is no longer optional—it is a strategic necessity for staying relevant, competitive, and inclusive in the digital age. At the same time, policy conversations are emerging around introducing a nominal charge—ranging from 0.2% to 0.3% of the transaction value—on UPI payments. While still significantly lower than card-based transaction fees, such a move could shape the future economics of digital payments in India.

AI enables banks to transition from a reactive to a predictive and prescriptive approach. By analyzing customer transactions, credit history, and alternative data sources like GST filings or utility payments, PSBs can better assess creditworthiness—especially for first-time borrowers and MSMEs with limited financial footprints. Predictive models also allow early detection of financial stress among borrowers, enabling banks to take preventive actions and reduce non-performing assets (NPAs). Additionally, demand forecasting helps branches optimize staffing and resource allocation, making operations more efficient.

Beyond prediction, AI drives personalized engagement. Advanced algorithms can segment customers and suggest tailored products—be it loans, savings accounts, or insurance—based on their behavior and needs. AI-powered chatbots and digital assistants streamline customer service, improving turnaround times and freeing staff for higher-value tasks. Automation also plays a critical role in areas like loan processing, fraud detection, and regulatory compliance, helping PSBs reduce operational risks and costs.

Adoption of AI also opens new avenues for financial inclusion. With multilingual support, voice recognition, and biometric tools, banks can serve customers in rural and semi-urban areas with greater ease. MSMEs benefit from AI-led credit evaluation and cash flow forecasting, receiving timely and right-sized funding without heavy paperwork or collateral requirements. Ultimately, AI contributes to making banking more responsive, inclusive, and profitable.

However, the road to AI transformation is not without challenges. PSBs face constraints in infrastructure, digital skills, and data management. Concerns around privacy, algorithmic bias, and ethical use of AI must also be addressed. To move forward, banks must modernize their IT systems, build data governance frameworks, reskill employees, and collaborate with fintechs, startups, and academic institutions. Several PSBs have already begun experimenting with AI-based tools. But to scale effectively, AI must become central to institutional strategy. A coordinated push—backed by the Ministry of Finance, RBI, and industry bodies—can accelerate this transition.

By unlocking the power of data and AI, public sector banks can not only predict and prescribe but truly prosper—delivering on their mandate of serving the public while achieving operational excellence.