TrustDecision has expanded its agentic AI capabilities for banks and fintechs across Southeast Asia, embedding AI-driven automation for fraud detection and credit risk decisioning.
Henry Li Nan, managing director for Singapore, Malaysia & Thailand at TrustDecision, said: “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 clearly defined regulatory boundaries,” Nan added.
Domain-specific AI agents
TrustDecision unveils a set of domain-specific AI agents, which include the following:
- Investigation: AI agent supports fraud and money laundering case analysis. From data retrieval and fund tracing to behavioural analysis and report generation, it enables faster, more consistent investigation workflows through human-AI collaboration.
- Rule mining AI agent converts investigation outcomes and risk signals into deployable rules and model features. This helps institutions evolve from case-by-case handling to systematic, reusable, and continuously improving risk strategies.
Dr Simon Liu, chief data and AI officer at TrustDecision, said: “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.”
