Opening Remarks & Personalization is Everything: Wealth Agentic AI Use Cases to Deepen Client Engagement

Is the age of "augmented intelligence" and "adaptive engagement" soon to arrive for financial advisors and wealth managers because of agentic AI? We're about to find out. Hyper-personalization of advisory services to deepen client engagement and build trust is possible because agentic AI can digest and synthesize data from multiple sources, allowing advisors and wealth managers to continuously tailor financial plans and offerings that are unique to each client, based on myriad factors and behaviors. This customized approach to client relationships means that, for example, investment allocations can be adjusted in real-time based on risk appetite shifts, tax-loss harvesting opportunities can be flagged automatically, and relevant financial information and educational content can be provided to clients based on their lifestyle and other behaviors. 



While financial advisors and wealth managers are just starting to explore and test use cases with agentic AI, the promise and potential loom large. Early use case scenarios focus on autonomous portfolio rebalancing aligned with evolving client goals; real-time "what-if" scenario simulation for financial planning; AI agent-suggested actionable steps based on savings and retirement goals progress; and AI-enabled onboarding and continuous suitability assessments.



Is agentic AI necessary for all financial advisors and wealth managers? In a word, yes. It won't replace trusted "human" advisors, but AI agents have the power to arm them with what they need to deliver smarter strategic investment advice and deepen their engagement with clients over the long term, while also reducing time spent on tasks.



The great promise of agentic AI aside, financial advisors and wealth managers will still face ethical, regulatory and trust considerations with the technology, including the transparency of agent decision-making, data privacy and security, and regulatory frameworks and explainability requirements. Our panel of industry professionals digs into agentic AI's great potential, the use cases that are easily within reach, the impact on client retention and satisfaction, and how financial advisors and wealth managers can reap the best of the technology—the scalable delivery of holistic advice without proportional increases in cost—with little downside.