China Everbright Bank Official Details AI Strategy to Supercharge Workforce Efficiency

Deep News
08/28

At the 2026 interim results briefing held this morning, China Everbright Bank Company Limited Vice President and Chief Compliance Officer Yang Wenhua outlined the bank's comprehensive push into artificial intelligence. He stated that the bank is firmly implementing the central government's directive to deepen the "AI+" initiative, positioning AI as a critical engine for serving the real economy and advancing its digital finance agenda. The ultimate goal is to build a "Three New" intelligent bank—defined by new traffic channels, new service models, and new risk control mechanisms—to ensure technology better serves public welfare and propels high-quality growth.

Yang elaborated on a three-pronged approach to achieve this vision. First, the bank is focusing on consolidating its technological foundations and adopting a centralized construction model to develop enterprise-grade AI capabilities. This ensures a robust and scalable infrastructure across all business lines.

Second, the strategy emphasizes deep integration into specific business scenarios to translate AI advancements into tangible operational value. Yang stressed that the success of an intelligent bank should not be judged solely by the sophistication of its models, but more importantly, by its ability to solve real-world business challenges and generate measurable results.

Looking ahead, the third pillar involves the forward-looking construction of the "Three New" intelligent bank. As AI drives profound changes in customer acquisition channels, service delivery, and risk frameworks, the bank plans to capture new growth opportunities. For internal empowerment, the bank will extract best practices from top experts in various fields, build a bank-wide AI business expert database and professional skills repository, and replicate this expertise for frontline staff. This will involve creating AI digital avatars for professional roles, ushering in a new paradigm of human-machine collaborative operations.

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