Client balances, transactions, holdings, cash positions, and risk profiles are already available in most systems. Yet in practice, this information often remains fragmented, underused, or only reviewed during scheduled reporting cycles.
An in-depth guide for wealth management firms on identifying inactive clients, understanding the revenue risk they represent, and implementing proactive, signal-driven re-engagement strategies using AI and data.
This article explores what client data privacy means in the AI era, what advisors must disclose, how global regulations are evolving, and how firms can build privacy-forward AI governance frameworks.
This article explores the measurable and hidden costs of legacy systems in advisory firms, the risks of maintaining outdated infrastructure, and the long-term value of modernization.
For more than two decades, customer relationship management (CRM) systems have served as the operational backbone of financial advisory firms. But the industry has changed.