Banks and Tech Leaders Position Ethical AI as a Driver of Business Value

In both finance and technology, AI governance is moving from a compliance requirement to a core business strategy. Public trust, now recognized as a business asset, can be strengthened or weakened by the way AI systems are designed and deployed.

DBS Bank, Southeast Asia’s largest bank, has embedded AI governance into its operations through the PURE framework – Purposeful, Unsurprising, Respectful, Explainable. This oversight covers more than 800 AI models used for services such as personalized financial advice and fraud detection. The framework has helped reduce the bank’s time-to-market for AI initiatives from 15 months to under 3 months, while also contributing to a projected S$1 billion in cumulative economic value by 2025.

Infosys, a global IT services company, integrates responsible AI into its “AI-first” strategy. The company has released a Responsible AI Toolkit – an open-source resource that supports privacy, fairness, and explainability in AI development. Infosys research shows that organizations with strong change management in AI training are 18 percentage points more likely to achieve success in AI deployment. This finding is particularly relevant for firms seeking HR consulting solutions that align governance with transformation goals.

The experiences of DBS and Infosys reflect a broader shift in corporate priorities. Governance is now closely tied to recruitment and talent management technology, intersections that will be addressed in detail at the upcoming HR Technology Congress Asia 2025.

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Rex Sayson

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