TrustDecision, a risk intelligence provider based in Singapore, has unveiled the expansion of its AI-driven capabilities for financial institutions across Southeast Asia. These enhancements focus on automating credit risk and fraud detection processes.

The new features are integrated into TrustDecision’s unified risk decisioning platform. Two specialized AI agents have been developed to support these efforts. The Investigation AI agent assists in the analysis of fraud and money laundering cases, handling tasks such as data retrieval, fund tracing, behavioral analysis, and report generation for improved, consistent workflow through human-AI cooperation.

The Rule Mining AI agent converts investigation results into actionable rules and model features, enabling financial institutions to transition from case-by-case management to a more systematic and continuously improving risk strategy. Together, these agents create a seamless process from detection to strategy refinement.

Governance, Auditability, and Human Oversight

TrustDecision highlights that the key challenge for financial institutions now lies in governance, control, and explainability within operational environments rather than just model capability. The company differentiates between scenarios where autonomous AI agents can be employed, such as high-volume, lower-risk tasks like transaction flagging or application pre-scoring, versus critical decisions requiring human oversight with clearly defined controls.

Southeast Asian market adoption is variable, with some regions advancing rapidly in digital banking and real-time decisioning whereas others are still building their foundational infrastructure. Thailand stands out as a market where the shift towards digital-first approaches is more imminent, marked by the expected entry of virtual banks by mid-2026. These environments offer both efficiency and compliance.

According to Henry Li Nan, Managing Director for Singapore, Malaysia, and Thailand at TrustDecision, institutions are adopting a cautious approach with a strong emphasis on human-AI collaboration, particularly in higher-risk decision-making processes that still require human oversight. Emphasis is placed on maintaining model transparency within regulatory constraints.

Dr Simon Liu, Chief Data and AI Officer at TrustDecision, adds that the critical question in regulated financial services is how a system behaves once it goes live, including where autonomous decisions are appropriate and how institutions can identify when a system operates beyond its defined boundaries.