India’s banking sector explores AI-powered satellite and government data tools to expand credit access for farmers and small enterprises, aiming to close the rural financial divide and move beyond retail banking efficiencies.
India’s next major test for artificial intelligence in banking may be whether it can widen access to credit for farmers and small businesses rather than simply make retail banking slicker, according to State Bank of India chairman CS Setty, who spoke at a Ficci-IBA event. Setty said lenders have already started using AI to better understand customers, improve service, strengthen risk controls and speed up lending decisions, but much of the early progress has come in retail banking, where transaction volumes and customer data are abundant.
That focus is beginning to shift. In agricultural lending, several technology companies are building tools that use satellite imagery, Earth observation data and government records to help banks judge crop health, climate risk and repayment capacity. TerraCredit says its satellite-based platform is designed to support farm loan decisions and reduce bad loans, while SatSure says its agri-lending system can help lenders underwrite, monitor and manage agricultural portfolios using contextual data tailored to rural India.
Other firms are pushing similar ideas into the MSME and farm-credit market. Arbix AI Solutions says its SaakhSetu platform combines verified government data, satellite images and live market feeds to generate a farmer credit score, which it says can cut appraisal costs and lower projected defaults. Industry and policy commentary around these tools suggests the broader aim is not just faster approvals but better lending to borrowers who have long lacked formal credit histories.
That matters because agricultural lending remains structurally difficult in India. A policy feature on NITI Frontier Tech said AI-driven credit systems could cut loan processing times from days to under an hour and create tens of thousands of lending opportunities, while also noting that only about 29% of farmers have access to formal credit. In that context, Setty’s remarks point to a larger question for Indian banking: whether AI can move beyond efficiency gains in cities and help close the credit gap in rural areas and among small enterprises.
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