Citigroup Launches Citi AI to Boost Efficiency and AI Adoption in Hong Kong
Citigroup (C.N) has introduced Citi AI, a suite of advanced artificial intelligence (AI) tools designed to enhance internal operations and improve efficiency across its workforce in Hong Kong as reported by Reuters.
The new tools, which aim to optimize operations such as information retrieval, document summarization, and drafting electronic communications, are in line with the Hong Kong Monetary Authority's efforts to encourage the responsible adoption of AI within the banking industry.
Citi AI’s Capabilities and Expansion Plans
Citi AI, now available to approximately 150,000 employees across 11 countries including the United States, India, and Singapore, marks a significant milestone in Citigroup’s push to leverage AI for operational improvements.
The tools are designed to streamline administrative tasks and empower employees to focus on higher-value activities, ultimately enhancing productivity.
Aveline San, Citi Hong Kong and Macau's CEO and Head of Banking, said, “These initiatives are in line with Hong Kong Monetary Authority's commitment to promoting responsible adoption of AI across the banking industry.”
Global Rollout and Future Markets
According to Reuters, following the initial rollout in Hong Kong, Citi plans to expand the Citi AI tools to additional markets throughout 2025. The goal is to extend the benefits of these tools across the global organization, with a particular focus on improving risk management and enhancing data governance.
Also read: Greenlite AI Raises $15 Million in Series A Funding to Revolutionize Financial Compliance
Impact on Citi’s Workforce
The launch of Citi AI tools comes as Citigroup also moves forward with a global workforce strategy that includes a reduction of up to 200 information technology contractor roles in China.
This shift is part of the bank's ongoing efforts to enhance its data governance and risk management by bringing more operations in-house. The strategic move aims to improve the bank’s overall AI and tech capabilities by investing in long-term staff rather than relying on contractors.
