By DWN Staff
Digital Wealth News AI Reality Check is a new series exploring one of the biggest
questions facing the wealth management industry today: Where is artificial intelligence
delivering real value, and where do expectations exceed reality?
In each edition, DWN speaks with an industry leader about practical applications, lofty promises and unavoidable challenges firms must navigate as they pursue AI.
In this first installment, we connect with Mike Overdorf, President of The Sycamore
Company, a technology provider that helps financial services firms capture the potential
of their data. With decades of experience in helping wealth management firms
modernize their tech infrastructure, Overdorf brings a practical perspective.
Instead of focusing on flashy use cases, he argues that firms should evaluate AI for its measurable return on investment, operational efficiency and long-term sustainability.
In this edition of AI Reality Check, Overdorf shares his thoughts on where AI is creating the most impact today and where hype has gotten ahead of reality.
DWN: What types of AI applications are delivering the most value to the wealth
management industry today?
MO: The strongest uses of AI are those that eliminate manual, time-intensive work. For
example, AI can extract data from complex PDFs, convert it into structured information
and automatically upload it into business systems. This is a process that used to require
someone to type the information manually. Applications that tackle time-intensive tasks
can significantly improve efficiency and give employees more time to focus on higher-
value work.
But while I’m excited by the promise of AI, firms shouldn’t assume it’s the best answer
for every problem. In many cases, traditional analytics dashboards or existing software
can produce the same efficiencies at a lower cost. The industry’s next challenge is
determining where AI truly creates incremental value and where it doesn’t
DWN: What is the most overrated application of AI within the wealth management
industry today?
MO: Too often, firms approach AI as a technological panacea. As the use of generative
AI has exploded, many firms have started applying it to practically every workflow
without first asking whether AI is actually the most practical or cost-effective solution. In
short, AI shouldn’t be used for everything.
Many routine reporting, analytical and information retrieval tasks can be handled with
business intelligence tools that are typically more economical than AI deployments.
Because of this, I believe firms should focus on AI applications that solve problems in ways that other technologies can’t. Those are the cases in which AI can deliver true
competitive value. And while there’s no doubt AI can help save time and improve
productivity, organizations are only beginning to evaluate whether those productivity
gains justify the cost.
As the industry continues to experiment with AI, there are still many questions about
what the technology is capable of and where it truly belongs.
DWN: What are the most critical pitfalls wealth management firms must avoid
when adopting AI?
MO: The biggest mistake firms can make is deploying AI without running thorough
diligence on the economics. Understandably, the industry is focused on AI’s impressive
capabilities and potential, chasing the shiniest of shiny new things, but too few
organizations are measuring the ROI.
Right now, firms are still feeling things out. The next step is figuring out whether AI is the
best solution for each business problem. In some cases, it will be. In others, firms can
achieve similar outcomes with less expensive tech or well-established workflows.
Another challenge is AI’s highly dynamic pricing, which makes evaluating ROI difficult.
No one has a really good sense of the true cost of AI yet because the pricing model is
changing rapidly. Until pricing stabilizes, firms should resist deploying AI
indiscriminately. Instead, they should prioritize applications that deliver measurable
operational improvements.
DWN: What AI development will have the greatest impact on the wealth
management industry in the next 12 to 24 months, and why?
MO: Over the next two years, the most important AI development will be the maturation
of the AI marketplace itself.
Today’s AI landscape is similar to the auto industry in the 1920s, when a countless number of manufacturers competed before the market consolidated and standardized.Today, the AI industry remains fragmented, with myriad providers, evolving pricing models and very little consistency across platforms.
For the wealth management industry, the maturation of the AI marketplace will be
critical. Before AI can reach its full potential, providers must be able to deliver greater
consistency, predictable pricing and long-term reliability. Once the market reaches that
point, wealth management firms will be able to invest in AI with more confidence and
integrate the technology more strategically.
