UPI’s scale puts AI-led payments, lending and fraud controls in focus

India’s digital-finance agenda is shifting beyond UPI toward AI-enabled credit assessment, fraud detection and agentic payments. Discussions at Mumbai’s Global Fintech Fest will also revisit AI risk management and UPI’s zero-MDR merchant model.

— Source publishedTue, 8 Sept, 2026, 16:14 IST·First seen Tue, 8 Sept, 2026, 16:50 IST·Source Business Today · Latest

What happened

भारत UPI के बाद AI-सक्षम डिजिटल वित्त पर जोर दे रहा है, जिसमें लोन असेसमेंट, फ्रॉड डिटेक्शन और एजेंटिक पेमेंट शामिल हो सकते हैं। मुंबई के ग्लोबल फिनटेक फेस्ट

Key facts

  • 24.51 billion UPI transactions in August
  • ₹29.82 lakh crore total UPI transaction value in August
  • UPI merchant discount rate has been zero since 2020

Why this matters

Partnership or acquisition targets should center on AI risk-management, fraud analytics, alternative-credit scoring and merchant software that can monetize on top of UPI’s zero-MDR rails.

What to watch

  • NPCI, RBI or government changes to UPI merchant-discount-rate funding, transaction caps, liability rules or delegated-payment standards.
  • UPI growth in merchant payments versus peer-to-peer transfers, plus QR acceptance penetration among small retailers.
  • Fraud-rate trends involving mule accounts, account takeover, QR-code substitution, synthetic identity and AI-enabled social engineering.
  • Adoption of UPI-linked credit, pre-approved merchant financing and cash-flow underwriting by banks and large commerce platforms.
  • Regulatory guidance on AI model governance, explainability, consent and data-sharing for credit and fraud decisions.
  • Whether major PSPs bundle POS, loyalty, lending and inventory tools into merchant operating systems.
  • Integrate UPI payment data with consented loyalty, returns and basket data to identify creditworthy repeat customers without overextending thin-file shoppers.
  • Prioritize real-time fraud orchestration across online checkout, QR payments, refunds, COD conversion and account recovery rather than deploying separate channel-level controls.
  • Evaluate payment partners on reconciliation, dispute handling, fraud-loss sharing, credit conversion and omnichannel APIs, not only transaction pricing.
  • Design checkout journeys for delegated or agent-assisted payments with explicit customer approval, spend limits, merchant whitelists and fallback authentication.
  • Use payment behavior to trigger targeted store-to-digital and digital-to-store offers, especially for replenishment categories and small-ticket repeat purchases.