Razorpay CEO Harshil Mathur on Trust, AI and Founder Conviction
Harshil Mathur moved from a tech‑coding background into finance after seeing that payments in India were harder to access than cash, creating silos instead of democratization. The first go‑to‑market plan targeted educational institutes, but schools did not prioritize digital collection, so the strategy stalled. Pivoting to startups provided the traction needed to validate the product and cement the conviction that solving the “payments problem” required deep, long‑term commitment.
Building in Regulated Spaces
Fintech in India endures a long “gestation period” because every player must clear a year‑long certification process. This regulatory hurdle acts as a moat: competitors cannot enter quickly without investing the same compliance effort. Conviction survives through direct customer feedback rather than investor hype. As Mathur puts it, “If it is hard to sell to customers it’s a problem. If it’s hard for other reasons it’s not really a problem. It’s actually a moat.”
Crisis Management
In B2B financial services, trust is the primary product. When a bank pulled the plug on a partner, Razorpay’s response was radical transparency and relentless human support. The rule during crises is never to stop picking up the phone, even when faced with abuse. Human touchpoints are a deliberate strategy to retain trust, not merely a ticket‑resolution shortcut. “B2B is a business of trust and the trust at the end of the day nothing replaces the human touch point of trust,” Mathur emphasizes.
Scaling and Strategy
Razorpay kept capital efficiency by focusing on value‑add rather than burning cash for growth. Being a small, agile player allowed an early, risky bet on UPI in April 2016, long before larger incumbents were willing to integrate. That bet turned a $60 billion market estimate in 2015 into a multi‑trillion‑dollar opportunity, with Razorpay now processing $180 billion in annual payment volume.
The Future of Building
Founders must avoid slipping into “manager mode” and stay directly involved in core product vision. AI is compressing the time required to build, making “what to build” more important than “how to build.” Mathur notes, “AI is going to bring down the building mode as well… The only thing you have to spend time is what to build, how to build it, how should it look like.” Companies that wait to react to market changes are already dead; they must anticipate the future instead.
Takeaways
- Deep conviction in solving a hard payments problem drove Razorpay’s early pivot from education to startups.
- Regulatory complexity in Indian fintech acts as a moat, protecting Razorpay from low‑effort competitors.
- In B2B finance, trust is built through relentless human support, especially during crises like the bank pull‑the‑plug incident.
- Staying small let Razorpay bet early on UPI, delivering growth while keeping capital efficiency.
- AI is reshaping the building process, shifting founder focus to “what to build” rather than “how to build.”
Frequently Asked Questions
Why does regulatory complexity serve as a moat for fintech companies?
Regulatory complexity requires every competitor to complete a year‑long certification process, creating a high entry barrier. Because compliance demands significant time and resources, only firms willing to invest heavily can compete, giving early entrants a lasting defensive advantage.
How does Razorpay use human touchpoints to maintain trust during crises?
Razorpay’s crisis rule is to never stop picking up the phone, even when faced with abuse. Direct human communication replaces automated responses, providing immediate reassurance and problem resolution, which preserves and strengthens B2B trust during high‑stress events.
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