Banks are rapidly advancing into a new era of artificial intelligence, moving beyond traditional chatbots and productivity tools toward Agentic AI capable of independently executing complex, multi-step workflows across highly regulated banking operations.
As competition intensifies in wealth management, commercial banking, and transaction services, financial institutions are making significant investments in AI platforms, specialized talent, and enterprise-wide AI strategies. Their objective is to improve operational efficiency, strengthen regulatory compliance, accelerate customer onboarding, and deliver more personalized financial services.
Recent initiatives by HSBC, OCBC, and Standard Chartered demonstrate how AI is evolving from a supporting technology into a strategic business capability, becoming deeply integrated into banks’ core operating models.
HSBC recently announced the launch of its Global AI Centre of Excellence in Singapore, with plans to hire more than 100 AI specialists. The centre will focus on developing AI solutions that can be deployed across HSBC’s global operations, initially targeting wealth management, agentic treasury services, AI-powered payment solutions, and responsible AI governance. The investment reinforces Singapore’s position as a key innovation hub while accelerating AI adoption throughout the bank’s international business.
Meanwhile, OCBC, through its private banking arm Bank of Singapore, has introduced HELIOS, an agentic AI platform designed to automate customer due diligence and onboarding for wealth management clients. By integrating AI into Know Your Customer (KYC) and compliance workflows, HELIOS can perform many of the manual tasks traditionally handled by operations teams. As a result, the bank expects to reduce account opening times from more than 30 business days to around 15 days, improving both operational efficiency and customer experience without compromising regulatory compliance.
Standard Chartered has also outlined an AI-driven transformation strategy as part of its latest financial results. The bank reported pre-tax profits of US$2.3 billion for the second quarter, exceeding market expectations, and revealed plans to expand the use of artificial intelligence across its operations. AI will play a central role in automating back-office processes, improving workforce productivity, and supporting the continued growth of its wealth management business. As part of this transformation, the bank expects to reduce approximately 8,000 back-office positions while targeting a return on tangible equity of more than 15% by 2028 and over 18% by 2030, alongside a significant increase in income generated per employee.
Collectively, these initiatives signal a broader industry trend. Banks are no longer experimenting with AI in isolated use cases; they are embedding Agentic AI into mission-critical operations to create faster, more efficient, and more intelligent financial services while maintaining the governance and oversight required in a highly regulated industry.
