Cameron Howe is the Co-founder and CEO of Investipal, a Toronto-based fintech platform designed to empower individual investors and financial advisors through AI-driven portfolio management and onboarding tools. Under his leadership, Investipal remains a bootstrapped company focused on financial literacy and democratizing access to professional-grade investment tools. With a quantitative and ETF research analyst background at a global investment bank, Cameron recognized the need for more personalized and accessible investment solutions. This insight led to the creation of Investipal, which began as a DIY investing tool and has since evolved into a comprehensive platform serving advisors and investors.

Financial advisors are currently facing the challenge of providing deeply personalized investment strategies while managing a large volume of manual tasks that can be time-consuming. As client expectations for customization increase, the complexity of portfolio construction and compliance processes also rises. How can financial advisors balance personalized service with scalable, efficient operations?

Cameron Howe, a quantitative research analyst turned fintech leader, shares insights into transforming the advisor-client relationship through AI and automation. He emphasizes why shifting from one-size-fits-all investment models to more tailored solutions based on individual client values and risk profiles is necessary. Outlining how AI tools can automate tasks like account statement analysis and portfolio optimization, Cameron demonstrates how it frees time for advisors to focus on relationship-building. He also highlights the importance of explainable AI to ensure compliance and build trust, suggesting deep learning as a powerful tool for managing complexity in modern portfolios.

In this episode of The Customer Wins, Richard Walker interviews Cameron Howe, Co-founder and CEO of Investipal, about using AI to modernize financial advising. Cameron discusses advisor inefficiencies, how automation enhances client onboarding, and the evolving advisor tech stack. He also delves into data extraction from investment documents, managing AI model complexity, and how deep learning improves portfolio design.