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Razorpay Builds Payments Platform Around AI Core
Razorpay has undergone a major strategic shift, rebuilding its entire payments platform from the ground up with artificial intelligence at its core. Demonstrated at its FTX 2026 event, this initiative places AI as the fundamental operating system, not an add-on. Company leaders stated that if Razorpay were to be built today, AI would be its absolute base. This "AI-native" architecture is a proactive move to address future technological changes and competition by putting AI at the heart of its operations. This foundational change is set to bring significant efficiency and agility, positioning Razorpay for leadership in the evolving fintech landscape.
Key Performance Boosts from AI Overhaul
The ambitious platform rebuild has already delivered notable operational improvements. System efficiency has markedly increased, with latency reduced by an impressive 65%. This speed is critical in payments where latency for fraud checks is tight and transaction approvals must be fast. Razorpay's enhanced system now supports processing up to 10,000 transactions per second, a substantial gain designed to handle increasing transaction volumes. Moreover, merchant onboarding now takes under five minutes, using an AI Agent Studio for tasks like account reconciliation, failed payment recovery, and dispute settlements through simple chatbot commands, greatly reducing friction for merchants.
Razorpay's Market Position and Competition
Razorpay processes about $180 billion in transactions annually and supports roughly 70% of India's fastest-growing startups. Its international total payment volume (TPV) has reached $1.4 billion across five countries. The Indian digital payment gateway market is expected to grow significantly, with AI becoming a key factor for improving security, customer experience, and operational efficiency. Global rivals like Stripe and Adyen, along with domestic players such as Paytm and PhonePe, also use AI for fraud detection and customer service. Razorpay's earlier acquisition of AI fraud prevention startup Thirdwatch in 2019 showed its long-term commitment to AI, which is now evident in this core architecture change. This positions it among companies embedding AI across their systems, expecting AI to become central to fintech operations.
Risks and Challenges in the Competitive Market
While Razorpay's AI-focused re-architecture is a bold move, significant risks remain. The fintech sector in India is highly competitive, with many companies vying for market share. Executing such a large-scale core system overhaul carries inherent risks; integration problems or slow adoption could prevent the intended benefits from being realized. Furthermore, the company's use of Anthropic's Claude Agent SDK for its new architecture means relying on the roadmap and stability of a third-party provider. Despite Razorpay achieving a valuation around $9.2 billion and reportedly preparing for a $700 million IPO planned for early 2026, the path to sustained profits and market leadership involves handling complex regulations and fast-changing technology. Its international expansion faces established global competitors. Proving a consistent return on its AI investments while growing in different regions will be essential.
Global Expansion and Future AI Innovation
Razorpay's AI-first architecture strategy shows its ambition to maintain and grow its leadership. The company has expanded into markets like Singapore and Malaysia, offering AI payment solutions to tap into high digital use and e-commerce growth. Adding capabilities like the Agentic-AI SDK and its AI assistant, RAY, shows a focus on delivering smooth, smart financial operations worldwide. Ahead of its potential IPO, this AI foundation aims to boost its investor appeal by highlighting an advanced infrastructure ready to deliver scalable, efficient, and innovative financial services globally.