India’s banking sector is moving toward a new phase of artificial intelligence adoption, where AI agents could soon take on roles traditionally handled by relationship managers and financial advisors.
Banks have already increased investments in AI over the past 2 years, mainly using AI copilots for customer support, fraud detection, compliance monitoring, underwriting assistance, and internal productivity. The next stage, however, involves “agentic banking,” where autonomous AI systems can independently interact with customers, analyse financial behaviour, and recommend personalised financial products with minimal human involvement.
Industry experts believe future AI agents could monitor customer spending habits, suggest investment changes, restructure EMIs during financial stress, optimise deposits into higher-yield products, and even negotiate customised loan or deposit offers in real time. The shift is being driven by advances in generative AI, large language models, and agentic AI systems capable of planning and executing multi-step financial tasks.
Banks see AI-led advisory systems as a way to reduce customer acquisition costs and improve profitability in retail banking. The technology could also help lenders provide personalised financial guidance at scale, a service previously available mainly to high-value customers through human relationship managers.
At the same time, the rise of agentic banking is creating growing regulatory and operational concerns. The Reserve Bank of India has repeatedly warned financial institutions about risks linked to opaque AI models, including hallucinations, data bias, cybersecurity threats, and lack of explainability in AI-driven decisions.
Regulators are particularly concerned about whether customers will understand how AI systems generate recommendations, especially in areas such as lending, investment planning, insurance selection, and loan restructuring. Another major concern is concentration risk, where multiple banks rely on similar AI models and datasets, potentially creating systemic vulnerabilities during periods of market stress.
Questions around liability are also emerging, especially in cases involving unsuitable investment advice, mis-selling, or financial losses caused by automated systems. As a result, banks are focusing heavily on AI governance frameworks, including human oversight, audit trails, explainable AI systems, and tighter controls on customer-facing autonomous technologies.
Many lenders are currently limiting AI systems to recommendation-based roles where final decisions still require human approval. However, industry experts expect competitive pressures and the growth of India’s digital public infrastructure, including UPI, Account Aggregator systems, and digital identity platforms, to accelerate the adoption of agentic banking in the coming years.
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