Indian Banks Achieve 10-50% Efficiency Gains Through AI Adoption

Mumbai: Indian banks are reporting substantial efficiency gains, ranging from 10% to 50%, across productivity, turnaround time, and operating costs due to artificial intelligence-led initiatives, according to the Economic Times. These advancements enable some lenders to manage up to 30% more servicing volumes without increasing their workforce, as AI integration deepens into crucial areas such as corporate banking, collections, and transaction processing.

Specific examples highlight varied improvements across different operations. Axis Bank has recorded productivity enhancements exceeding 10% in selected customer journeys. Kotak Mahindra Bank demonstrates the capacity to handle 20-30% more corporate-servicing volumes with its existing headcount. Furthermore, AU Small Finance Bank has notably reduced the operating cost of its AI-led voice operations by 50%, showcasing significant cost-efficiency.

Kotak Mahindra Bank has extensively deployed AI across its wholesale banking operations through 'Project ACE.' This initiative has automated the classification and routing of corporate customer requests concerning account servicing, payments, transaction disputes, and inward remittances. Anu Aggarwal, head-corporate and transaction banking at Kotak Mahindra Bank, stated that Project ACE yielded 'massive efficiency gain,' improved resolution tags 'twice,' and created 'surplus capacity,' allowing the same headcount to manage 20-30% more volumes. The bank is also developing predictive tools to forecast corporate cash inflows, upcoming payments, and surplus liquidity, recommending investment options for excess funds, moving 'from information to intelligence' for CFOs.

HDFC Bank also reported significant benefits, with digitisation and straight-through processing reducing service-delivery turnaround times by 30% during the September quarter. Concurrently, customer visits per frontline employee increased by nearly 50%. Former chief executive Sashidhar Jagdishan had previously indicated that greater AI adoption could lead to reduced manpower requirements in back-office, credit, and corporate-support functions.

Axis Bank is integrating AI across customer servicing, operations, and decision-making via its enterprise-wide AXIOM platform. During the September quarter, its AI bots managed nearly 60% of collection calls. Amitabh Chaudhry, MD and CEO of Axis Bank, emphasized that 'AI-driven solutions such as Doc AI, Voice AI and GenAI-powered collections continue to enhance customer experience, improve operational efficiency and deliver better business outcomes.'

Similarly, ICICI Bank has developed an enterprise AI platform that spans customer onboarding, fraud detection, portfolio monitoring, document processing, and customer servicing. Sandeep Batra, executive director at ICICI Bank, noted that 'Together, these capabilities help simplify processes, improve turnaround times and support decision-making across multiple banking functions,' underscoring the comprehensive impact of AI in banking.

What to watch: Further expansion of AI applications and their long-term impact on banking employment.

Editor's note: The draft is an excellent summary of the source, capturing all specific bank examples, metrics, and quotes accurately.