Netwealth names new GM for data and AI team
Netwealth has hired Silvio Giorgio as its new general manager for data and AI, a move aimed at accelerating its push to double funds under advice by fiscal year 30. Giorgio’s appointment aligns with the company’s goals to improve operational efficiency and expand adviser productivity through tailored tools and data-driven insights.
His role will focus on integrating the Unify Data Management Platform across Netwealth’s client portal, advice tools, licensee solutions, and adviser platform. The system will aggregate and organize multiple data sources, making them more accessible for advisers and their clients. Automation will also extend to manual tasks like client onboarding, document management, servicing, and quality control—areas where AI can streamline workflows and reduce administrative burdens.
Giorgio brings extensive experience from previous roles as general manager for data and intelligence at REA Group and Coles, as well as a seven-year tenure at Australia Post, including four years as its general manager for data science. His background suggests a focus on applying AI to solve real-world operational challenges, particularly in environments where data fragmentation slows decision-making.
Unify Platform Signals AI Scaling Push
While Netwealth has already made progress in AI adoption—such as deploying AI-powered investment research tools and overhauling its product development lifecycle, the integration of Unify marks a sharper emphasis on unifying data across its ecosystem. The platform’s FY26 results highlighted how AI-driven efficiencies had accelerated delivery of new capabilities, but Giorgio’s arrival signals a deeper commitment to scaling these efforts.
“Our ability to provide timely and insightful data for advisers and their clients, and to help advisers unlock more capacity through applied AI, is critical,” said Nick Walker, Netwealth’s chief technology officer. He noted that Giorgio’s expertise in identifying high-impact AI applications would drive measurable gains, particularly in integrating data-driven insights across the adviser tech stack.
Giorgio acknowledged the industry’s capacity constraints, where demand for financial advice outstrips the number of professionals available to deliver it. His priority will be balancing technological innovation with trust, ensuring advisers and clients feel secure in relying on AI-powered tools. “We’re not just building tools; we’re earning trust in those tools,” he said. “AI and data can scale personalization for clients while addressing the core issue of adviser capacity.”
Balancing Innovation with Adviser Trust
The push for automation and data integration comes as Netwealth prepares to scale its operations. While the company has already introduced AI training programs for employees and modernized its development processes, Giorgio’s role suggests a shift toward making these capabilities more embedded in daily workflows. The challenge will be ensuring advisers adopt these tools without creating additional friction in their processes.
Netwealth’s strategy reflects a broader trend in financial services, where firms are turning to AI to offset labor shortages and improve service quality. The difference here lies in Giorgio’s focus on data unification, a step that could reduce the silos that often hinder AI adoption in legacy systems. If successful, it may set a template for how other advisers can leverage centralized data to enhance both productivity and client outcomes.
Giorgio’s first steps will involve securing data protection and collaboration with regulators to ensure compliance as technology evolves. The emphasis on trust aligns with industry concerns about AI’s role in financial advice, where transparency and accuracy remain top priorities. His track record in large-scale data projects suggests he’ll approach this with a balance of ambition and caution.
Early Wins Hinge on Data Flow
The integration of Unify is expected to begin immediately, with early wins likely in areas where manual processes are most time-consuming. Whether this translates into broader efficiency gains, or simply adds another layer of complexity, will depend on how smoothly the data flows between systems. For now, Netwealth’s bet is that centralizing data and automating repetitive tasks will free advisers to focus on higher-value work.
