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Fintech companies are increasingly leveraging artificial intelligence (AI) to personalise customer experiences, strengthen fraud detection systems and improve operational efficiency, as the sector looks beyond basic automation and chatbots toward more intelligent financial services infrastructure.
Executives across lending, wealthtech and payments start-ups said AI is now being deployed across underwriting, customer support, compliance monitoring, cybersecurity and product discovery, while also opening up new monetisation opportunities.
“We see AI as a capability that helps traders become smarter and more informed, rather than replacing human decision making,” said Yashas Khoday, Cofounder and Chief Product Officer at FYERS. The company has launched FIA, its AI-powered assistant, which helps users analyse markets, charts, portfolios, IPOs and options trading through natural language interactions.
Contextual analysis
“Every trader approaches markets differently, so the experience becomes highly contextual to each user’s style of thinking and analysis,” Khoday said, adding that the assistant does not provide trading tips or buy-sell recommendations but instead offers insights and contextual analysis.
AI is also becoming deeply embedded into backend operations. Khoday said FYERS uses machine learning systems to monitor transactions and login behaviour in real time to identify fraud signals and unusual activity. The company is also using AI to automate compliance workflows and improve internal engineering productivity.
At lending platform Fibe, AI is being used across underwriting, customer journeys, fraud detection and marketing to create what the company describes as more contextual and intuitive financial experiences.
“AI today is helping fintech move away from one-size-fits-all financial products toward more contextual, intuitive, and personalised consumer experiences,” said Anil Sinha, chief technology officer at Fibe.
The company has deployed AI-powered interfaces such as Fiora to help users navigate financial products conversationally, while internally built AI agents assist teams by handling repetitive operational tasks.
Sinha added that AI could also reshape how customers discover financial products in the future, with users increasingly accessing services through conversational AI platforms rather than standalone apps.
For cross-border fintech startup Belong, AI is proving particularly useful in customer support and engineering productivity. The company said an AI bot currently handles 60-70 per cent of incoming customer queries, allowing a two-member support team to manage a user base of nearly 25,000 NRIs.
“NRI support is genuinely complex, and questions span FEMA, cross-border taxation, repatriation rules, and jurisdiction-specific compliance,” said Ankur Choudhary, cofounder and chief executive of Belong.
Fraud detection
Meanwhile, payments technology firm NPST said AI is becoming central to fraud detection and risk intelligence systems in the payments ecosystem.
“Static rule-based systems can’t keep up. AI works differently. It tracks behaviour patterns across the merchant lifecycle, flags anomalies in real time, and scores risk based on what merchants actually do,” said Deepak Chand Thakur, chief executive and cofounder of NPST.
Industry executives said the next phase of AI adoption in fintech will likely centre on intelligent assistance, personalised workflows, vernacular interfaces and predictive risk systems.
Published on May 18, 2026
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