OCBC Bank has launched a generative AI-powered skills training programme for its entire wealth advisor force in Singapore, becoming the first bank in the country to deploy the technology at this scale for advisory coaching. The six-month programme produced measurable results within its first three months, with participating advisors doubling weekly client appointments and recording a 50 percent uplift in revenue, signaling a concrete commercial case for AI-led workforce development in regulated financial services.
Key Facts At A Glance
- Programme covers 900 wealth advisors across OCBC’s retail banking segments in Singapore
- Six-month generative AI coaching programme developed over 12 months using large language models
- Training covers investment advisory, client management, product mastery, and wealth planning
- Advisors who completed training secured twice as many weekly client appointments within three months
- Revenue uplift of 50 percent recorded among trained advisors compared to the three months prior
- OCBC describes the programme as a first-of-its-kind by a bank in Singapore
- Planned expansion to Malaysia and Hong Kong, with content tailored to local regulatory requirements
- Programme developed using OCBC’s anonymised proprietary insights on customer behaviour
A Shift From Manual To Machine-Led Coaching
OCBC Bank launched the generative AI training programme for its 900-strong wealth advisor force in Singapore on April 15, 2026, under the bank’s “The Next Frontier” corporate strategy, which positions AI, digital, and data capabilities as core commercial drivers. The programme replaces a coaching model that was conducted entirely in person, on a one-on-one basis, and dependent on supervisor availability.
Under the previous system, wealth advisors could wait up to three weeks to secure a single training session with a supervisor who typically managed up to 10 staff simultaneously, alongside other responsibilities. That dependency created inconsistent evaluation standards and uneven feedback quality across the advisor base. The introduction of generative AI removes the scheduling constraint entirely and eliminates what the bank describes as emotional bias in supervisor-led coaching.
The platform, available on advisors’ work devices, dynamically adapts its responses based on what the advisor says during each simulated session, engaging as a realistic customer would in a live advisory setting. Scenarios include helping a customer build a long-term investment portfolio, identifying a client’s risk profile, discussing more sophisticated financial products, and adjusting investment strategies in response to market movements. Following each session, supervisors receive a generative AI-generated gap analysis report identifying competency levels and specific areas for improvement, allowing in-person coaching to target residual gaps rather than serve as a primary channel.
Performance Outcomes And Scale
OCBC’s wealth advisors serve three segments of retail banking customers: personal banking clients with assets under management below SGD 350,000; OCBC Premier Banking clients with AUM of SGD 350,000 to SGD 1.5 million; and OCBC Private Premier clients with AUM of at least SGD 1.5 million. The programme’s early results, covering the first three months of deployment, indicate a doubling of weekly client appointments among trained advisors relative to untrained peers, and a 50 percent revenue uplift compared to the three months prior to programme use.
Sunny Quek, OCBC’s head of global consumer financial services, stated that the programme enables advisors to develop confidence and product knowledge, and reinforces the bank’s commitment to ensuring that the right customers are sold the right products at the right time, in line with financial industry regulations. The bank developed the programme over 12 months, using large language models guided by anonymised proprietary data on customer behaviour to generate the training scenarios.
Regional Expansion And Regulatory Context
OCBC has confirmed plans to extend the programme to its operations in Malaysia and Hong Kong, with content to be adapted to the specific regulatory and market requirements of each jurisdiction. The expansion will bring the platform into Bank Negara Malaysia’s regulatory environment, where advisory standards for wealth products are governed under the Financial Services Act and related licensing frameworks.
The deployment comes as financial regulators across Southeast Asia tighten conduct-of-sale requirements for investment and wealth products. In Singapore, the Monetary Authority of Singapore has maintained ongoing expectations around fair dealing and competency standards for representatives selling complex financial instruments. The use of standardised, AI-generated training and gap analysis may align with regulatory expectations for consistent and documented upskilling, though the specific regulatory treatment of AI-assisted coaching is not addressed in publicly available MAS guidance.
The programme also reflects a broader institutional push within OCBC. The bank has stated that AI is embedded across its operations, supporting over six million decisions daily, a figure it has cited in the context of its SOWA agentic AI tool developed with Bank of Singapore for source-of-wealth reporting in private banking. The wealth advisor training programme extends that AI deployment into a front-line retail advisory function, at a scale and with commercial outcomes that are verifiable against internal performance data.