What happens when artificial intelligence stops being an experiment and starts becoming part of how a bank actually works?

Singapore’s three largest homegrown banks, DBS, OCBC and UOB, are already well into that transition, with each reporting more than 300 AI use cases.

Each has disclosed a different mix of results this year, which becomes clearer when looking at what each bank has put into production and where the impact is already measurable.

DBS says it runs more than 430 AI use cases, and OCBC and UOB each put theirs at more than 300.

Every bank counts in its own way, and UOB’s figure includes analytics, so the totals only go so far.

A better test is what each bank has put in front of its bankers and customers this year, and what it can show for it.

Its 2025 annual report counts more than 430 use cases across over 2,000 AI models and estimates that its data analytics and AI and machine-learning initiatives delivered about S$1 billion in economic value in 2025.

The newer effort is agentic AI, software that carries out a chain of tasks instead of answering a single question.

In August, DBS gave around 1,500 relationship and credit risk managers worldwide a tool that works through more than 70 such tasks to draft a corporate credit memo, the document that makes the case for lending to a company.

It grew out of a pilot with 150 staff, and bankers and credit risk managers still make the assessment and approval decisions.

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