AI Becomes the Control Layer for Payments and Risk Management At Singapore FinTech Festival 2025
Artificial intelligence was broadly discussed at Singapore FinTech Festival 2025, where banks, payment companies, and infrastructure providers showcased a new generation of AI-driven systems reshaping financial operations. Across panels and exhibitor booths, AI was positioned as the emerging “control layer” for risk management, compliance, and large-scale transaction flows.
Major financial institutions presented models designed to monitor behavior patterns, detect anomalies, and predict fraud with unprecedented granularity. Several Asian and European banks said that real-time AI-powered transaction scoring has begun reducing false positives across AML and fraud monitoring, while enabling regulators to review model outputs more transparently.
Payment providers highlighted AI-optimized routing engines capable of lowering costs across international corridors by selecting the most efficient liquidity path dynamically. With cross-border payments rising sharply across Asia and the Middle East, AI-based FX and settlement optimisation became one of the most discussed operational innovations at the event.
Regulators, meanwhile, focused on supervisory AI — tools used to analyze systemic risks in real time. Authorities from Singapore, Japan, and the UAE presented early-stage frameworks for model governance, accountability layers, and the auditing of AI-driven financial decisions. Industry participants broadly agreed that AI is moving from a competitive differentiator to an expected standard for high-volume financial institutions.
A recurring topic was the convergence of AI and blockchain. Speakers pointed to automated settlement controls, real-time reconciliation on tokenized rails, and the ability for AI agents to execute predefined compliance checks on-chain. This combination, many argued, will define the next cycle of financial-infrastructure upgrades.
SFF 2025 made clear that AI’s role in finance is entering a new phase — one where automation governs core processes rather than assisting them. As institutions proceed with implementation, 2026 is set to be a year of large-scale adoption and regulatory standardisation around AI-native infrastructure.
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