Finance / Corporate banking
DBS: Corporate customer support
- Company
- DBS
- Country
- Singapore
- Adoption stage
- In operation
- Source published
- Date basis
- The date the source was published. It can differ from the date adoption started.
- How the source was checked
- Read the full source text
The work problem
DBS runs a channel that takes enquiries from corporate and small and medium enterprise customers. The bank set itself the goal of becoming a bank that uses AI at scale. Doing so required a common standard so that several teams could build and expand generative AI applications responsibly.
Technology and data
The foundation is ADA, the bank-wide data analytics platform. This platform provides a data usage environment with controls and security. On top of it the bank laid a generative AI framework. Reusable components, control mechanisms, workflow capabilities and prompt writing standards were set as the standard. On this basis it built the corporate banking chatbot DBS Joy. DBS Joy responds around the clock to corporate and small and medium enterprise customers.
Results
DBS said DBS Joy provides round-the-clock support to corporate and small and medium enterprise customers. In the same letter the bank said it applied more than 2,000 AI models to more than 430 use cases through ADA. It wrote that the economic value created by data analytics and AI activity in 2025 was about 1 billion Singapore dollars. That amount is the total of the bank's whole activity, not the result of one chatbot.
Limits and open questions
The source describes DBS Joy in a single sentence. Answer accuracy, volume handled and the share passed to human agents are absent.
Sources
- CIO statement | DBS Bankdbs.com, Accessed
Compiled from public sources. These are not results from ATF Works customers.