SBI Accelerates AI Adoption in MSME Lending and Banking Operations

State Bank of India (SBI) is significantly expanding the use of Artificial Intelligence across its banking operations, with AI being used to underwrite nearly ₹1 lakh crore (US$11.32 billion) of MSME loans during FY26, covering loans of up to ₹5 crore (US$0.57 million) per borrower for both new and existing customers. The bank is also deploying AI and Large Language Models (LLMs) to automate the processing of cheques of up to ₹10,000 (US$113.16), which represent around 25% of SBI’s total cheque volumes. Beyond lending and cheque processing, SBI is applying AI across credit underwriting, portfolio management, fraud risk monitoring and customer service, while AI-based early warning systems analyse sector-specific, market and publicly available data to identify potentially vulnerable exposures before they turn into delinquencies. This technology is also reducing the manual workload for relationship managers by handling data collection and preliminary analysis, allowing them to focus more on customer engagement. Although SBI has not yet quantified the impact through a specific reduction in its cost-to-income ratio, the bank is already seeing improvements in customer satisfaction and employee productivity. Importantly, SBI continues to maintain human oversight through a dedicated control risk unit that reviews samples of AI-processed transactions, identifies errors and determines whether further model training is required. $SBIN Disclaimer: This post is for informational purposes only and not a recommendation to buy or sell any securities. I, or my family, associates, or relatives, may have a financial interest in the securities mentioned.