Since 2018, AI has been essential to CTBC’s digital strategy, supported by its in-house R&D lab of more than 200 data and AI-focused scientists. This initiative now includes more than 50 departments across three main business lines. With over 100 active AI applications in production, the bank has achieved a massive 150% increase in AI usage year-on-year. Wang underscores CTBC’s vision: “Our goal is to expand the scope of AI implementation and deliver tangible benefits.”
CTBC aims to leverage both GenAI and traditional AI to enhance its personal banking experience and seamlessly deliver next-generation banking services.
Real-time fraud prevention using AI
Digital account fraud is a significant problem for global financial services, increasing by 45% annually. Using AI, CTBC has defied this trend: its innovative fraud detection system AI Skynet reduced fraud on its credit card accounts by 6% in 2024. Wang attributes AI Skynet’s success to its powerful technology:
“For each transaction, the AI model can evaluate 100,000 fraud rules within 30 milliseconds.”
CTBC plans to expand real-time AI detection beyond credit cards to include all transactions in the next year. The bank is also piloting applications to use AI models in anti-money laundering systems and will continue to collaborate with government and law enforcement agencies to prevent fraud across the ecosystem.
Sustainable development of artificial intelligence
After years of testing, CTBC has identified six key technologies that support its digital development. “For AI efforts to be sustainable, they must solve these challenges: revenue generation, process efficiency, OCR to digitize paperwork, identity verification, insights generation, and regulatory technology to manage risk,” Wang said. “This ensures we are building the best use cases.” For our clients and companies.”
Future innovations will use OCR technology to digitize complex documents and advanced facial recognition through multi-modal verification technology. CTBC leverages data resources from consumer and corporate banking, providing deeper enterprise-level insights.
Data + Governance + Talent
GenAI requires large amounts of data, but Wang explained, “Transaction data from our customers is good, but it is not enough to scale GenAI. In order to provide value, we feed the knowledge and insights of our experienced senior bankers into the AI brain.” He says that the CTBC data center It needs “the right management and the right talent” to successfully implement GenAI.
