As AI capabilities became embedded within the platform’s advisor desktop experience, advisors increasingly relied on AI chat to support meeting preparation, client insights, and day to day decision making. However, usage patterns revealed a critical limitation: interactions were largely one off and difficult to operationalize at scale. Advisors lacked a structured way to revisit prior conversations, reuse effective AI prompts, or build on previous outputs. Valuable AI generated insights were frequently lost or had to be recreated, resulting in duplicated effort and inconsistent outcomes across advisor workflows. These challenges became even more pronounced for advisors managing multiple clients and complex portfolios. The absence of prompt management and conversation continuity introduced additional friction into meeting preparation. Advisors were forced to repeatedly reconstruct context or reframe questions, limiting efficiency and reducing the overall impact of AI as a workflow productivity tool. Without a system for organizing and reusing AI interactions, the platform risked underutilizing its AI investment and falling short of its vision for an integrated, intelligent advisor experience.