As AI transforms investment strategies and the role of asset managers, leaders across the financial services industry are uncovering new ways to capture opportunities at speed. Yet as automated agents take on more tasks (including monitoring, rebalancing, and reporting), questions around oversight and accountability are growing.
To explore what’s next, GLG brought together three leading experts for small group roundtables and a panel discussion on AI’s continued potential to drive smarter decisions, stronger performance, and long-term strategic value.

Featured experts:
- Tom Liu, Former Head of Data Science at Advent International
- Cerwin Ma, Former Global Head of Transformation – Technology at State Street
- Ben Reeves, Former Chief Investment Officer at Wealthsimple.inc
Key takeaways:
Success hinges on strong governance
Cerwin emphasized that to effectively build AI modeling layers, organizations must set clear ROI targets that align with their overall corporate strategy. He noted that success depends on designing and implementing strong AI governance policies, which the CIO, CFO, and other members of leadership can work to drive and measure.

There is true value in building customizable models
Tom underscored the value in building customized, open-source AI models versus relying on off-the-shelf solutions that may not fit specific business requirements or integrate with legacy systems. Purpose-built, company-specific models are better able to address unique operational needs and strategic goals, while navigating key challenges around data privacy and upholding regulatory compliance frameworks.

Empowered CIOs
Ben noted that CIOs will start to see real benefits from AI as it evolves from customer service-focused agents to agents capable of developing code that optimizes strategic asset allocation. He shared that this shift represents a move from basic support roles to more advanced, high-impact functions in financial strategy – ultimately helping to ensure asset allocation is optimized for the strongest performance.

What’s next:
- Cerwin noted that “AI needs to be viewed as a strategic enabler,” not a short-term efficiency tool. He also mentioned that true impact comes when AI initiatives are directly linked to an organization’s long-term business goals and measured by tangible outcomes.
- Tom shared that success depends on focusing on the right metrics: “Even if AI gets you 80% there, if you’re hyper-focused on a single KPI, what does that really mean for your revenue growth, working capital, or free cash flow conversation? Those are the metrics that matter most.”
- Ben highlighted how AI can strengthen investment operations. “When it comes to supporting my investment team, the most helpful improvement will come from enabling our risk management group to monitor portfolio risk through AI-driven agents,” he shared.
This event was part of Perspectives, GLG’s event series giving clients and experts insight into today’s most important topics from every key angle.