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HSBC Private Bank has launched a gen AI-powered ecosystem called Wealth Intelligence, designed specifically for their client-facing wealth management teams as it seeks to boost its client service experience.
The new system, Wealth Intelligence, is available to investment advisers and product specialists, and is designed to analyse and synthesise the bank’s research reports alongside external news feeds—currently drawing from over 10,000 data sources—to provide rapid access to a comprehensive range of information.
Developed in-house and based on OpenAI’s large language model (LLM), the platform is intended to streamline the process of gathering and interpreting market intelligence. HSBC has stated that, thanks to its open platform architecture, an increasing volume of third-party product information will be progressively integrated into the knowledge base, further broadening the scope of insights available to staff.
Initially launched in Hong Kong and Singapore, the platform is set to be extended to additional markets to meet the evolving needs of HSBC’s global private banking clientele. In its next phase, HSBC says the platform will be enhanced to identify and recommend products suitable for discussion with clients, supporting investment option selection and asset allocation advice.
This development aligns with broader industry trends, as leading private banks increasingly deploy AI to support relationship managers and improve the quality and speed of client recommendations.
Gabriel Castello, chief executive of HSBC Global Private Banking AI, emphasised that strong customer relationships remain “fundamental” for private bankers, especially as clients demand more timely, reliable, and tailored investment advice. “Riding on our deep institutional knowledge and experience, our wealth management teams can now leverage these AI capabilities to spare more time to attend to our clients’ unique investment objectives and portfolio optimisation needs,” he said.
Lavanya Chari, head of wealth and premier solutions at HSBC, described AI as a strategic pillar for the bank’s customer experience transformation, noting that the technology is being used to upskill staff, transform workflows, and enable more data-driven client decisions.
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