How AI is becoming the operating backbone of India's fintech industry
India’s fintech industry is integrating AI into core operations—including fraud detection, KYC verification, and compliance—to handle surging digital transactions and evolving threats, with leaders like Plutos ONE and PayU adopting AI-driven workflows. The shift is driven by regulatory pressure, profitability demands, and the impracticality of manual monitoring amid record transaction volumes like the 22.64 billion UPI payments processed in March 2024.
India’s fintech sector is embedding AI into its operational backbone, moving beyond customer-facing tools like chatbots to automate underwriting, fraud detection, KYC verification, and compliance. The shift is urgent due to India’s massive digital finance ecosystem, which saw over 22.64 billion Unified Payments Interface (UPI) transactions worth ₹29.52 trillion in March 2024, according to the National Payments Corporation of India (NPCI). Fintech firms now rely on AI to scale efficiently, reduce costs, and combat sophisticated fraud, such as generative AI-enabled phishing and deepfake scams. At Plutos ONE, a Noida-based fintech startup, AI is now a foundational layer for compliance, onboarding, and productivity management. Founder and CEO Rohit Mahajan stated that AI has transitioned from an experimental tool to a core part of the company’s infrastructure, improving operational efficiency and deployment speed. Fraud detection is a critical focus, with AI handling real-time monitoring of millions of transactions. PayU, a payment service provider, uses AI for continuous fraud pattern recognition, while human analysts manage complex investigations. A recent Experian-Forrester study found 69% of Indian organizations believe existing KYC systems fail to detect AI-generated fake documents, highlighting the need for advanced solutions. Profitability pressures are accelerating AI adoption, as fintech firms seek measurable efficiency gains amid funding slowdowns. Payoneer’s India site leader, Gaurav Gupta, noted deep AI integration in product development, customer support, and compliance to streamline operations. The industry trend is shifting toward AI-led processes with human oversight, ensuring governance and strategic decision-making remain intact.
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