Artificial intelligence-powered offerings in wealth management regularly hammer home one benefit they provide in particular: saved time. “Advisors are saving 10-plus hours per week on average by leveraging AI to streamline their client meeting process,” said Startup Zeplyn CEO Era Jain. “That’s about 500-plus hours per year or 20 new clients they can service per year.” These time savings are primarily spent on business development and relationship building. Solo advisor Kelly Klingaman, founder of Kelly Klingaman Financial Planning, said she wanted to utilize an AI notetaker in her business so she could be more present during client meetings. Having tried out a few AI notetaking tools so far, Klingaman said Fathom is “affordable, easy to use and dynamic” — and it saves her between five and eight hours per week. For Gregory Furer, the founder and CEO of Beratung Advisors, one of the biggest game changers has been the integration of Holistiplan tax planning software. “With AI, we can now analyze a client’s tax return and generate insights in just three minutes — a process that used to take an hour and was prone to human error,” he said. From there, Furer said they create tax modeling for clients in 20 to 30 minutes, compared to the two to three hours it used to take. He said his firm is also leveraging AI within eMoney, its financial planning software, “to instantly calculate the amount of life insurance needed to maintain client-defined success rates and goals.” “This real-time decision support enhances the accuracy and speed of our recommendations,” he said. Like Klingaman, Furer has been utilizing AI for meeting notes; he uses Jump. “As the tool continues to learn our systems and language, it could eventually save five to 10 hours per week of high-value planner time, potentially becoming our most cost-effective AI tool.” Rob Schultz, senior partner and wealth manager at NWF Advisory said he also uses Jump for meeting summarization. “The quality of the notes was significantly better than I ever wrote down during a meeting and it allows me to focus solely on the client in front of me. It saves me time in the post-meeting review, probably 30 minutes per client interaction.” Samuel Flaten, co-founder of Narrow Road Financial Planning said he mainly uses ChatGPT, which he calls a “total game-changer.” In addition to the writing assistance, Flaten said he has also trained a custom GPT with “everything I know as a CFP” to workshop ideas, stress-test strategies and pull in creative alternatives he might not have considered. Across his average weekly schedule of 20 meetings, Schultz said his use of Jump AI frees up about 10 hours. Jain of Zeplyn recommends that firms optimize their scheduling by identifying advisors who successfully use AI to save time, establishing their best practices and training or coaching other advisors.