How DBS, OCBC and UOB Are Betting on AI in 2026

The article details how Singaporean banks are moving AI beyond experimentation into measurable operational impact. DBS has quantified its AI and data analytics initiatives as generating S$1 billion in economic value in 2025. This focus on tangible financial returns is supported by the deployment of agentic AI tools for tasks like drafting corporate credit memos and enhancing customer service through generative AI features in chatbots, which serve over 10 million customers.

OCBC's most prominent AI deployments this year are centered on wealth management. The bank introduced AI avatars for client portfolio discussions and an agentic AI platform, HELIOS, to streamline client onboarding and due diligence. These tools aim to reduce private banking account opening times significantly and improve advisor efficiency. Early program results for wealth advisors using GenAI tools indicated a doubling of weekly client appointments and a 50% revenue uplift against prior quarters, though these figures were from early in the program.

UOB's clearest published AI results come from risk management. Its Project Magnet, a surveillance tool in UOB Private Bank, has reportedly increased genuine risk alerts by 148% and improved exception rates by 130%. Beyond risk, UOB is developing agentic AI for anti-money laundering and KYC checks, and is using AI to personalize customer interactions via its TMRW app, serving nearly 180 million personalized insight cards to over 2.5 million customers in 2023.

The Monetary Authority of Singapore (MAS) has finalized its Guidelines on AI Risk Management, which take effect from October 2027. This regulatory framework will establish supervisory expectations for the banks' AI deployments, influencing how these technologies are managed and adopted responsibly. MAS's ongoing consultation on agentic AI also indicates a forward-looking approach to addressing evolving risks associated with advanced AI applications.