Razorpay sees AI personalisation creating fintech startup opportunities

Razorpay CEO Harshil Mathur said falling AI personalisation costs could help startups serve niches including Gen Z payments, HNI wealth management and multilingual services. The company also plans to expand in Southeast Asia, including Malaysia and Singapore.

— Source publishedWed, 9 Sept, 2026, 19:30 IST·First seen Wed, 9 Sept, 2026, 19:39 IST·Source Business Standard · Companies

What happened

Razorpay CEO Harshil Mathur said AI will reduce personalisation costs, enabling fintech startups to target niches such as Gen Z payments, HNI wealth management

Key facts

  • 20 languages

Why this matters

Target partnerships or acquisitions in multilingual AI, wealth-tech personalisation and regional payment rails to accelerate entry into Malaysia, Singapore and adjacent Southeast Asian markets.

What to watch

  • Razorpay product releases involving AI agents, multilingual merchant support, personalized checkout or fraud-risk scoring.
  • UPI policy changes affecting credit, recurring payments, cross-border interoperability or third-party app participation.
  • Funding and user-growth traction for Gen Z payments, vernacular fintech, AI wealth-tech and embedded-finance startups.
  • RBI, NPCI or data-protection enforcement related to consent, AI decisioning, fraud liability and financial-data sharing.
  • Razorpay licensing, partnerships or merchant-acquisition announcements in Malaysia and Singapore.
  • Evidence that banks and large wallets are deploying similar personalization features at scale.
  • Launch AI-powered merchant tools for multilingual onboarding, support, payment optimization and fraud detection.
  • Partner with wealth managers, NBFCs and neobanks to package personalization capabilities into regulated products rather than directly owning all financial licenses.
  • Use Southeast Asia expansion to offer cross-border payment acceptance and India-Singapore/Malaysia merchant settlement products.
  • Target Gen Z use cases such as subscription controls, shared payments, rewards and conversational financial assistance.
  • Build localized language models, consent workflows and data-governance controls as differentiation for Indian-market fintech customers.