This session explores how AI is reshaping financial planning through a paired challenge/opportunity: rapidly rising consumer openness to AI-enabled financial help and persistent capacity constraints in advice delivery.
We frame the “advice gap” and show how AI can expand reach beyond traditional channels while improving acquisition and engagement. We then examine the advisor productivity/time crisis, in which roughly one-fifth of first-year planning time is consumed by data gathering, and outline a practical workflow redesign using “conversational intelligence” (meeting transcripts paired with an LLM query layer) and evidence-based communication tactics.
Finally, we demonstrate how predictive AI can be applied in real client situations to evaluate the effectiveness of advisor-client conversations and forecast the most effective combinations of engagement components, improving follow-through and outcomes.
