Fintechs turn to AI for personalised finance, fraud detection and smarter operations

AI Laws and Regulations Concept. Hand typing on laptop with digital icons representing artificial intelligence, legal standard, ethics, and regulatory compliance, Technology law and policy, copyright,
| Photo Credit:
Supatman

Fintech firms are turning more and more to AI to tailor user interactions, boost fraud‑prevention measures, and raise operational efficiency, moving past simple automation and chatbots toward smarter financial‑service platforms.

Leaders in lending, wealth management and payments start‑ups note that AI is now being applied to underwriting, customer service, compliance oversight, security monitoring and product ideation, while also creating fresh revenue streams.

“AI serves as a tool that makes traders sharper and better informed, not a replacement for human judgment,” explained Yashas Khoday, co‑founder and chief product officer at FYERS. The firm has introduced FIA, its AI‑driven assistant, enabling users to examine markets, charts, portfolios, IPOs and options trades via natural‑language conversation.

Contextual analysis

“Since each trader approaches the market in a unique way, the experience becomes highly tailored to individual thinking styles,” Khoday noted, emphasizing that the assistant refrains from giving direct trade advice or buy‑sell signals, focusing instead on delivering contextual insights.

AI is also penetrating back‑office functions. Khoday explained that FYERS employs machine‑learning models to watch transactions and login patterns in real time, spotting fraud indicators and anomalous behavior. The firm likewise applies AI to streamline compliance processes and boost internal engineering efficiency.

At the lending platform Fibe, AI is deployed throughout underwriting, customer journeys, fraud detection and marketing to craft what the firm calls more contextual and intuitive financial experiences.

“AI is enabling fintech to shift from generic, one‑size‑fits‑all offerings to more contextual, intuitive and personalized consumer experiences,” stated Anil Sinha, chief technology officer at Fibe.

The company has rolled out AI‑enabled interfaces like Fiora that let users explore financial products through conversation, while home‑grown AI agents support staff by taking care of repetitive operational chores.

Sinha added that AI may also transform how consumers discover financial products going forward, as more users turn to conversational AI platforms instead of traditional standalone apps.

For the cross‑border fintech startup Belong, AI is showing particular value in customer support and engineering productivity. The company reports that an AI bot now handles roughly 60‑70 % of incoming customer inquiries, enabling a two‑person support team to serve a user base of close to 25,000 NRIs.

“Supporting NRIs is inherently complex, with queries covering FEMA, cross‑border taxation, repatriation rules and jurisdiction‑specific compliance,” remarked Ankur Choudhary, co‑founder and CEO of Belong.

Fraud detection

Meanwhile, payments technology firm NPST noted that AI is becoming a cornerstone of fraud detection and risk intelligence within the payments ecosystem.

“Static rule‑based systems fall short. AI operates differently—it monitors behavior patterns throughout the merchant lifecycle, flags anomalies in real time, and scores risk according to what merchants actually do,” stated Deepak Chand Thakur, chief executive and co‑founder of NPST.

Industry leaders anticipate that the next wave of AI adoption in fintech will focus on intelligent assistance, personalized workflows, vernacular interfaces and predictive risk systems.

Published on May 18, 2026