How DBS Bank Leverages AI and Cloud to Enhance Credit Risk Management, Customer Engagement, and Operational Efficiency

By: GoBeyond Team

July 3, 2025

3 min read

DBS Bank AI risk management and customer engagement dashboard

Quick Overview

DBS Bank has embedded over 1,500 AI models across 370+ use cases, spanning credit risk management, fraud detection, personalized financial advisory, and customer service automation. The bank uses machine learning, predictive analytics, and hybrid cloud infrastructure to drive digital transformation, reduce fraud, and improve customer experience.

DBS Bank

Company Size

~30,000 employees

Revenue Range

$15B+ annual revenue

Primary Challenge

Managing credit risk, fraud prevention, and delivering personalized customer experiences at scale

Key Metrics

\- Generated USD 562 million economic value from AI initiatives\- 40% increase in digital product adoption\- 60% reduction in fraud through AI-driven detection\- Over 1.5 million customers actively using security tools\- Reduced average call handling time by 20% with AI assistants

The Problem

Traditional risk management and customer service processes were manual, slow, and less effective at scale.

The Solution

Developed internal AI platform (ADA) hosting 5.3 petabytes of data; deployed AI models for credit scoring, fraud detection, financial nudges, and customer service automation; implemented AI-driven cybersecurity and biometric authentication; launched AI-powered employee training and upskilling programs.

Results

\- Improved credit risk assessment and portfolio management\- Enhanced fraud detection accuracy and prevention\- Increased customer engagement and product adoption\- Streamlined operations and reduced costs\- Positioned as a leader in AI-driven digital banking in Asia