How Artificial Intelligence Can Transform Your Practice

Gabe RissmanAdvisor Perspectives welcomes guest contributions. The views presented here do not necessarily represent those of Advisor Perspectives.

Artificial intelligence is quickly becoming a valuable asset for financial advisors, helping them improve their practice by streamlining tasks, enhancing client communication, and providing deeper insights for their practice and work with clients. But the industry is far from universal adoption.

Although some firms are incorporating AI into their management of portfolios as well as their direct correspondence and meetings with clients, others are still in the exploratory phase, sorting out whether the technology can benefit their practice and help them achieve their goals. This piece aims to bring clarity to those who remain skeptical or are still understanding how AI can enhance the work of advisors, what it can do for clients and how it can enhance the client-advisor relationship.

Here are six key areas where AI can make a transformative impact on financial advisory practice.

1. Content Creation and Marketing – AI tools can generate first drafts of emails, newsletters, and blog posts, maintaining the advisor’s voice while saving time. While advisors may worry about sounding robotic, it is always easier to make edits to existing content than to start on a blank page. The ability to quickly create personalized content helps advisors keep clients engaged. It also allows for efficient client communication and targeted messaging based on individual interests. The more personalized information you can feed these tools, the better content it will produce.

2. Notes and CRM Integration – AI-powered tools can automatically record meetings, summarize key takeaways, and update CRMs with relevant details, reducing manual data entry. This ensures that important client information, like financial goals or family details, is captured accurately. AI can also generate follow-up tasks so that nothing is overlooked, keeping accurate records and reducing administrative burden. While compliance safeguards may be a concern, these tools can be used in ways that prioritize data protection.

3. Analytics Assistants – AI offers valuable support in portfolio analysis, aggregating research and flagging insights that may require attention, such as an excessive cash weighting. With AI’s support, advisors gain a clearer view of portfolio performance and can make data-driven recommendations, ultimately helping build trust and transparency with clients.