TrustDecision Debuts Agentic AI to Shield SE Asia's Fintech

The Next Frontier of Risk: TrustDecision Unleashes Agentic AI for Southeast Asia’s Evolving Financial Landscape

As Southeast Asia stands on the precipice of a digital banking revolution, the conversation is shifting from whether Artificial Intelligence can perform to how it can be governed. 

At this week’s Money20/20 Asia in Bangkok, TrustDecision, the Singapore-headquartered risk intelligence leader, announced a major expansion of its platform: the integration of Agentic AI designed specifically for banks and fintechs.
 

The timing is critical. With Thailand preparing to launch its first cohort of virtual banks by mid-2026, the demand for AI-native infrastructure that is both hyper-efficient and strictly compliant has never been higher. TrustDecision’s new suite of domain-specific AI agents aims to bridge the gap between automated detection and human-led strategy.

From Detection to Action: The Power of AI Agents

Moving beyond traditional rule-based systems, TrustDecision is introducing a "closed-loop" decisioning framework. Unlike standard AI models that simply flag risks, Agentic AI can take autonomous, goal-oriented actions within defined parameters. The expansion features two core pillars:

Investigation AI Agent: This agent automates the heavy lifting of fraud and money laundering analysis. It handles data retrieval, fund tracing, and behavioral analysis, allowing human investigators to focus on high-level decision-making with consistent, pre-generated reports.

Rule Mining AI Agent: This tool bridges the gap between insight and execution. It converts investigation outcomes and risk signals into deployable rules and model features, ensuring that a bank's risk strategy evolves systematically rather than reacting case-by-case.

The Governance Challenge: Control Over Autonomy

While the technical capabilities of AI have reached a peak, the industry is now grappling with the "harder problem": governance. As AI agents take on more operational roles, the risks regarding auditability and accountability grow.

TrustDecision advocates for a balanced approach, suggesting that while AI agents are perfect for high-volume, lower-risk tasks like application pre-scoring, critical decisions must remain under human oversight.

Henry Li Nan, Managing Director for Singapore, Malaysia & Thailand at TrustDecision, emphasized the need for guardrails during the launch: "Many incumbent banks are actively exploring AI today, and the pace of technological advancement has been faster than expected. But in regulated financial environments, the focus is not just autonomy, it’s on control. While AI agents can take on more operational tasks, institutions are adopting a measured approach, with human-AI collaboration at the core. Higher-risk decisions still require human oversight, and there is a strong emphasis on model transparency and operating within clear defined regulatory boundaries."

A Regional Shift in Mindset

The adoption of these technologies across Southeast Asia remains uneven, but the direction is clear. Leading institutions—including Hong Leong Bank, Mandiri, Bank Jago, Toyota Auto Finance (TAF), Kredivo, and Adakami—are already leveraging TrustDecision’s intelligence to secure their workflows.

The industry consensus is no longer about the "if," but the "how." During a panel on agentic finance at Money20/20, the discussion focused heavily on the behavior of these systems in live, high-stakes environments.

Dr. Simon Liu, Chief Data and AI Officer at TrustDecision, noted: "The capability questions are largely answered. AI can make faster, more consistent decisions than manual processes in almost every financial workflow we handle. In regulated financial services, the more important question is how the system behaves once it is live. That means understanding where autonomous decision is appropriate, where controls need to sit, and how institutions detect when a system is operating outside the boundaries they have set."

As Thailand and its neighbors move from AI experimentation to full-scale production, the winners will be those who can marry the speed of Agentic AI with the rigor of traditional financial governance. For TrustDecision, the future of finance isn't just about smarter machines—it's about controllable intelligence.