Displaying items by tag: practice management

High-net-worth clients face financial challenges that extend far beyond investing — from tax strategy and estate planning to philanthropic giving and risk management. The tricky part is, they often don’t realize what’s missing until something goes wrong. 

That’s where an advisor steps in — not necessarily as an all-knowing expert, but as a skilled generalist who knows how to ask the right questions and rally the right specialists. The best advisors lead like point guards: coordinating tax professionals, estate attorneys, and insurance experts to keep the client’s entire financial picture aligned. 

They play offense and defense — identifying blind spots, managing risks, and preparing families for wealth transfer long before a crisis hits. 

Finsum: With the right team, proactive mindset, and a client-first playbook, you can position yourself as the go-to strategist for high-net-worth households.

Artificial intelligence is rapidly becoming a fixture in the financial advisory space, with over three-quarters of firms already using or exploring it. Rather than viewing AI as a threat, advisors should see it as a valuable ally that enhances efficiency and allows more time for meaningful client engagement. 

AI tools can streamline research, summarize documents, and provide fast answers to complex client questions, saving hours of manual effort. During meetings, AI-driven transcription services like Zoom AI Companion and Jump AI can capture notes and action items, allowing advisors to stay fully present. 

In marketing, platforms like Canva and Mailchimp now use AI to create polished content quickly, while tools like ChatGPT can also help formalize internal documentation and standardize processes.

Finsum: By embracing these tools, advisors can elevate service quality, boost operational efficiency, and increase the long-term value of their firm.

Vanguard has introduced a generative AI-powered tool designed to help financial advisors create personalized, compliant client communications more efficiently. The tool generates tailored summaries of Vanguard’s most-read market insights, adjusting for client knowledge level, life stage, and preferred tone. 

It also automatically includes the appropriate disclosures, streamlining the compliance process. Lauren Wilkinson, head of advisor technology, emphasized that this beta-tested tool reflects Vanguard’s broader push to integrate innovative technologies that support both advisors and clients. 

Beyond AI, Vanguard is also exploring cutting-edge fields like spatial computing, quantum technology, and blockchain to enhance investor outcomes and deliver deeper personalization.

Finsum:  AI can enhance advisor effectiveness by enabling more customized and meaningful client interactions.

Thrivent is ramping up its recruiting efforts to hire nearly 600 new financial advisors in 2025, aiming to counteract the anticipated wave of advisor retirements expected across the industry. 

While the broader advisor workforce has grown only 0.3% annually over the past decade, Thrivent’s hiring initiative would represent a 2% increase, far outpacing the trend. The firm is targeting early-career professionals for salaried virtual advisor roles in key cities like Denver, Atlanta, Minneapolis, Milwaukee, and Dallas. These roles are intended to serve as stepping stones to more advanced positions, either within Thrivent’s employee structure or through its independent RIA, the Thrivent Advisor Network. 

With over a third of U.S. advisors projected to retire within the next ten years, Thrivent is focusing on building a younger, more diverse advisor base aligned with future client demographics. 

Finsum: It’s worth noting this trend in recruiting and what incentives are offered to attract this talent. 

Monte Carlo simulations have become an essential tool for retirement planning, allowing users to model thousands of financial outcomes based on variables like investment returns, inflation, and life expectancy. Using AI assistant Claude, the author generated a detailed simulation for a hypothetical couple—Joe and Jane Average—without needing programming skills or statistical expertise. 

Claude translated the couple’s retirement goals and financial data into a 5,000-iteration simulation using historical return data and a 60/40 stock-bond allocation, delivering a 95.78% success rate for retirement sustainability. 

The simulation projected a median portfolio of $28.2 million by Jane’s life expectancy, with very low depletion risk even in advanced age. Key strengths of the plan included strong pre-retirement savings, realistic spending goals, a balanced asset mix, and delayed Social Security filing. 

Finsum: Monte Carlo simulation can give you the edge to navigate and model various situations to deliver the best results to your clients.