Unlike traditional AI that runs predefined models and automates routine processes, agentic AI can act with a degree of independence – scanning transactions and exposing anomalies, while adapting workflows dynamically, acting autonomously within boundaries. These systems do not just follow rules; they learn, decide, and take action, presenting a fundamentally different approach to managing compliance in real time.
Singapore’s financial industry is facing a reckoning. In June, the Monetary Authority of Singapore (MAS) imposed over $3.8 million in civil penalties against financial institutions and individuals for breaches related to anti-money laundering and market misconduct. Similarly, as regulators across Asia are becoming more aggressive and more aligned on tracking down compliance failures, it’s clear that the old compliance playbook will no longer cut it.
However, amid this heightened scrutiny, a new generation of artificial intelligence, or agentic AI, is emerging as a pivotal solution. For financial institutions across Southeast Asia wrestling with tougher regulatory scrutiny and pressures to digitalise, agentic AI offers real-time learning, decision-making and adaptability beyond rule-execution.
