Wealth manager WRISE sets up AI lab
Wealth management firm WRISE Group has established WRISE AI Labs and named Jeffrey Wu as group chief scientist, while setting aside an initial HK$30m for the build-out of AI-based wealth management tools.
The move is part of its longer-term AI plan and is intended to support changes in wealth management through technical direction, technology development and sector knowledge.
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Working under the theme of “Human-Led. AI-Scaled. Future-Ready.”, WRISE AI Labs has been created as an internal platform to examine and develop practical uses of AI within the group.
Its work will cover AI-supported client service, automation, tools for relationship managers, data analysis, digital intelligence systems and new forms of client interaction.
The lab will use a platform model, creating AI functions that can be applied across different parts of the business.
WRISE Group CEO Derrick Tan said: “The launch of the WRISE AI Labs initiative and the appointment of Dr. Jeffrey Wu as Group Chief Scientist mark an important milestone in our journey to build a human-led, AI-scaled and future-ready wealth management platform.
Dr. Wu brings deep scientific expertise, entrepreneurial experience and a global technology vision. Together with Panorama and the WRISE leadership team, he will help us translate AI innovation into practical business outcomes — empowering relationship managers, enhancing client engagement and strengthening our long-term growth capabilities.”
Wu will work with the senior leadership team on the group’s AI roadmap and provide strategic and technical oversight for the AI Labs programme.
WRISE has also entered a partnership with Wu and Guangzhou Panorama Intelligent Technology Investment, which it said is a state-backed investment vehicle linked to Guangzhou’s technology strategy.
According to the company, WRISE AI Labs will link scientific research with business use, with the aim of developing AI tools to improve productivity, decision-making and client experience across the organisation.
Tan added: “Our goal is to combine scientific thinking, AI capabilities and real wealth management scenarios to develop practical solutions that improve efficiency, support better decisions and create sustainable value for clients and stakeholders.”
