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From Black Box to Glass Box: Why Singapore's Finance Teams Are Demanding AI They Can Audit

Source: The Edge Singapore

Singapore's finance teams have moved past the question of whether to use AI. Faster closes, tighter controls and better visibility are now baseline expectations in an economy where digital transformation is a national priority. The harder question, the one boards and auditors are starting to...

From Black Box to Glass Box: Why Singapore's Finance Teams Are Demanding AI They Can Audit
SGAI Daily

Singapore's finance teams have moved past the question of whether to use AI. Faster closes, tighter controls and better visibility are now baseline expectations in an economy where digital transformation is a national priority. The harder question, the one boards and auditors are starting to push on, is whether the AI doing the work can be trusted enough to be left in charge of the numbers.

That shift is the subject of a new analysis from BlackLine's regional vice president for Asia, Nikhil Parambath, who argues that the next phase of finance value in Singapore and across Asia-Pacific will come from AI embedded in real workflows — not AI parked on the side as an experiment. The term of art is agentic financial operations: AI that routes exceptions, triggers actions and keeps processes moving inside governed financial workflows, with human oversight still in the loop.

In practice, that means finance teams spend less time chasing issues and more time on analysis and judgment, and controls like reconciliations and journals move from periodic, after-the-fact checks to a continuous operating model. But autonomy without transparency, Parambath warns, is something finance cannot accept. His prescription is a "glass box" approach: every recommendation, action and outcome must be visible, explainable and auditable.

The timing is pointed. Singapore is still digesting its agentic AI governance framework, and regulators, boards and auditors across the region are asking harder questions about how AI is deployed, what controls sit around it and whether its decisions can be verified. For an industry built on accountability, the argument that explainability is a precondition — not a nice-to-have — aligns with where policy is heading.

Why it matters for Singapore: The city-state's finance sector is one of its biggest AI deployment grounds, and the way banks, insurers and CFO offices adopt agentic AI will set the pattern for the rest of the region. If the "glass box" standard takes hold here, Singapore's edge shifts from being an early adopter to being the market that proved AI can handle money without sacrificing accountability — a positioning that matters for its hub ambitions. Expect governance tooling for finance AI, not just the models themselves, to become the next battleground.

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