AI finance in Singapore Brief — 2026-09-26
Today: AI is moving beyond financial-institution experimentation into practical consumer-finance tools, with Singapore developers using agentic AI and structured financial data to automate everyday decisions.
Top Stories
1. 🤖 Singapore entrepreneur builds AI tool to optimise credit-card rewards
The Straits Times · September 26, 2026
Bottom line: KiasuMiles uses AI to match Singapore credit-card rules and merchant categories with individual purchases, turning fragmented rewards information into conversational recommendations.
The tool, created by Singapore AI educator Hosan Swee, tracks around 50 credit cards and more than 3,300 merchants. Its database captures rules including minimum-spend thresholds, miles-per-dollar rates, eligible categories and monthly caps, with AI tools used to collect and structure information from bank and merchant websites.
Users can connect KiasuMiles to ChatGPT, Claude or Codex and ask questions such as which card to use for a particular merchant or transaction. The creator says he built the application using AI coding tools despite not having traditional software-development expertise.
Why it matters: The example points to a broader AI-finance pattern: value can come from combining structured, frequently updated financial data with an agentic conversational layer rather than relying on a general-purpose chatbot alone. It also demonstrates how AI coding tools are lowering the cost of developing specialised financial applications for Singapore consumers.
More in AI finance in Singapore
- 25 Sep🤖 DBS reports S$1 billion in AI/ML value as it scales AI-enabled banking
- 24 Sep23 Financial Institutions Commit to Train 80,000 Singapore Finance Workers in AI
- 23 SepSea to Deploy NVIDIA Vera Rubin Across Monee, Shopee and Garena
- 22 SepMAS Tests Cross-Bank AI to Detect Scam Accounts and Suspicious Transactions
- 21 SepMAS: AI adoption is moving from pilots to scaled deployment across Singapore finance