Embracing AI in Wealth Management: A Practical Guide for Financial Advisors

Gary Carrai, Chief Product Officer at LPL Financial, shares a practical guide on how advisors can use artificial intelligence (AI) to streamline workflows, personalize client outreach, and redirect time to high-value work.

Last Edited by: Gary Carrai, Chief Product Officer, LPL Financial

Last Updated: September 01, 2026

Illustration, four advisors, three sitting on clouds working on laptops

IN THIS ARTICLE

Client Experience Gaps

Your clients are used to responsiveness, convenience, and personalization in nearly every part of their lives. As an advisor, you have an opportunity to bring more of that same experience into your practice. I believe AI can help you do that while creating more time for the conversations that matter most.

If you are wondering where to start, look for the friction. Where does your client experience feel slower, more disconnected, or harder than it needs to be? Are clients waiting too long for answers? Do they feel out of touch with their financial plan between meetings? Those gaps can point you toward practical ways AI may improve the experience and help with explaining your value to clients.

Think about a simple example: a client has a question after business hours. An AI-powered assistant can respond to routine questions right away, so your clients do not have to wait until the next business day for basic information. That kind of responsiveness can strengthen the relationship while freeing you up for the planning conversations that need your full attention.

AI can also help your interactions feel more personal as your practice grows. By analyzing client data, these tools can surface insights that help you tailor outreach, recommendations, and next steps. Rather than viewing AI as a replacement for your judgment, think of it as a tool to give you a clearer view of what each client may need next.

Automate Low-Value Administrative Work

Administrative work can quickly crowd your day. Meeting notes, scheduling, follow-up emails, data entry, and document organization all take time away from client-facing work. My guidance is simple: identify the tasks that do not directly drive better client outcomes or business growth, then consider where AI can take on more of the load.

For example, AI transcription tools can turn meeting audio into written notes. Scheduling tools can reduce the back-and-forth of finding a time that works. Automated email tools can help with routine follow-ups. AI can also speed up data entry and document management by categorizing information and making it easier to find later.

The value goes beyond saving time. AI can help you create a more consistent process, so important details are captured, organized, and less likely to slip through the cracks. When routine work runs more smoothly in the background, you can put more energy toward the work that moves your practice forward.

Redirect Time to High-Value Activities

Once AI takes on more routine work, the next question is where you spend the time you get back. I would point you toward the activities that build stronger client relationships, make guidance feel more personal, and create room for growth. Those efforts can help set your practice apart over time, similar to the strategies advisors use to grow their practices sustainably.

AI can review large sets of client data and surface patterns you may want to act on. It might flag a shift in spending, a change in risk tolerance, or another signal that suggests it is time to reach out. Instead of waiting for the next scheduled review, you can be more proactive and show clients you are paying attention.

The same kind of analysis can help you spot emerging investment themes by scanning broad sets of market data. Instead of spending hours looking for patterns manually, you can review AI-generated summaries and use your expertise to decide what is relevant for each client’s strategy. AI can process the data. You bring the judgment.

Elevate Client Communications

Your clients expect communication that is timely, relevant, and easy to understand. AI-powered tools can help you address that expectation without adding more manual work. They can scan market data, news, and other inputs to identify information that may matter to specific clients, then help you draft outreach that feels thoughtful and less generic.

AI-driven assistants can also provide around-the-clock support by answering common client questions quickly. AI-enabled client portals can give clients real-time access to financial information and personalized insights, which can create more transparency and confidence in the relationship.

The result is communication that can feel more frequent, more relevant, and more personal. Your clients stay informed, and you stay top of mind.

Enhance Portfolio Management with AI

Portfolio management involves a long list of detail-heavy tasks, from rebalancing and tax-loss harvesting to tracking required minimum distributions and monitoring risk exposure. AI can help you automate parts of that analysis, highlight potential opportunities, and flag areas that may need attention.

AI-driven portfolio tools can review large datasets, monitor market trends, and support asset allocation decisions. They can also help account for changing conditions more quickly, which may make it easier to keep client investments aligned with their goals and risk tolerance. The point is not to hand over decision-making. It is to give you a faster, clearer view of what may need your attention.

That shift can free you to focus more on strategy and client conversations instead of routine maintenance. The analysis can happen continuously in the background, while you apply the experience and perspective needed to turn insights into action.

Deepen Client Analytics with AI

Some of the most useful AI applications I see are in client analytics. AI can pick up on behavioral changes that may be easy to miss, such as a client pausing regular contributions or becoming more active in the client portal. Those signals can give you an early read on changing needs, questions, or concerns.

With those insights, you can create more personalized financial plans based on what clients are actually doing, not only what they shared during the last review. AI can surface the patterns, and you can interpret what they mean in the context of each client’s full financial life.

AI is a powerful tool, but it is still only one part of the picture. The real value of your practice comes from the relationships you build and the guidance you provide. AI can help you do both with more focus and efficiency.

Build Your AI Adoption Strategy

Bringing AI into your practice does not have to mean changing everything at once. I recommend starting with a practical review of where it could make the biggest difference. Where does the client experience feel slow or disconnected? Which administrative tasks take too much time? Which higher-value activities would benefit from more of your attention?

At LPL Financial, we support advisors with curated AI capabilities designed to improve efficiency and personalize client experiences. If you are exploring how the right platform can help you put AI to work in your practice, connect with LPL Financial to learn more.

AI in Wealth Management FAQs 

Start with work that takes a lot of time but does not create the same level of client value. For many practices, that includes repetitive administrative tasks and data-heavy analysis. Slow response times, disconnected client touchpoints, and manual portfolio or client analytics work can all be good places to begin. By identifying the biggest friction points, advisors can focus AI adoption where it may create meaningful improvement.

Ethical AI use starts with protecting client data, being clear about how AI supports decisions, and watching for potential bias in the tools being used. Advisors should have strong security practices in place and regularly review AI outputs to make sure the technology is working as intended. AI should support professional judgment, not replace it.

AI can review market data, economic indicators, and news to identify patterns that may point to possible market movements. But those forecasts are not guarantees. Markets are influenced by many factors that can change quickly or behave unpredictably. AI can be a useful input for investment decisions when paired with an advisor’s experience, research, and understanding of each client’s goals.

The biggest risks include relying too heavily on AI without human review, exposing sensitive client data, or using tools that do not keep pace with changing markets and regulations. AI is only as strong as the data, rules, and oversight behind it. Advisors can manage those risks by reviewing AI-generated insights, validating outputs, and staying directly involved in the recommendations clients receive.

AI can support more personalized retirement planning by analyzing client data such as spending habits, contribution patterns, and retirement goals. It can also flag changes, such as a pause in regular contributions or a shift in spending, that may signal it is time to revisit the plan. From there, the advisor can interpret those signals and translate them into guidance that reflects the client’s broader financial picture.


Disclosures

For Financial Professional Use Only.

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