Indian banks are transitioning from testing to deploying generative artificial intelligence at scale, aiming to revolutionise credit, productivity, and risk systems amid rising cybersecurity concerns.
Indian banks are moving from test projects to broader deployment of generative artificial intelligence, according to a report from the Federation of Indian Chambers of Commerce and Industry, Boston Consulting Group and the Indian Banks’ Association released at FIBAC 2026. The study says the sector’s AI agenda is increasingly focused on four priorities: widening access to credit, lifting productivity, strengthening risk systems and deepening customer engagement. It also finds that GenAI is now a top-three strategic priority for a far larger share of financial institutions than before, even as data readiness, skills gaps, governance concerns and uncertainty over returns continue to slow rollout.
The report argues that the biggest gains may come in lending, where agentic AI, software that can carry out multi-step tasks with limited human intervention, could reshape the credit journey. It says banks could cut turnaround times by 50% to 90% if AI agents handled steps such as application intake, document checks, identity verification, credit review, fraud detection, collateral verification and disbursal. It also projects more than 95% first-time-right processing, a 40% to 60% drop in operating costs and a 20% to 30% reduction in credit mortality, meaning borrowers who never complete the loan process.
The same shift is visible beyond the big lenders. Business Standard reported that large non-banking financial companies, including Bajaj Finance, L&T Finance and Tata Capital, are already using AI and GenAI across customer acquisition, underwriting, servicing and collections. HDFC Bank, India’s largest private sector lender, has separately identified more than 15 GenAI programmes and launched an academy to speed up internal capability-building, underscoring how the technology is moving from experimentation into operating models.
The report also warns that wider adoption will require stronger defences. BCG’s separate 2026 cybersecurity paper on India’s banking, financial services and insurance sector says AI is making attacks faster and cheaper, raising the need for machine-speed detection, stronger operational resilience and better co-ordination across the financial system. That concern fits with the broader banking report’s call for tighter governance, infrastructure upgrades and real-time fraud monitoring as institutions embed AI more deeply into daily work.
Public sector banks are already moving in that direction. The Economic Times reported that seven state-owned lenders have rolled out 32 GenAI use cases under the government’s EASE 8.0 programme, with applications spanning credit appraisal and risk systems. Taken together, the developments suggest Indian banking is entering a phase in which the debate is less about whether to use AI and more about how quickly it can be scaled without weakening controls.
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