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Everyone in wealth management is talking about artificial intelligence, but the more important question is what happens when it stops being just another feature and starts becoming the operating layer for the firm. Not just a notetaker. Not just a chatbot. Something that can actually help advisors scale capacity, reduce operational drag and make the tech stack feel a whole lot less fragmented.
In this episode of The WealthStack Podcast, host Shannon Rosic chats with Mark Swan, CEO and co-founder of Nevis, to explore what it really takes for AI to move beyond point solutions and into the core infrastructure of a modern RIA. He unpacks the difference between horizontal AI tools and vertical AI platforms, why voice may become the next major interface in advisor technology, and how firms can start thinking about AI not as a collection of disconnected tools, but as a system for orchestrating work across the front, middle and back office.
Key takeaways:
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Why the real bottleneck in wealth management is advisor capacity, not demand
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The difference between AI point solutions and a truly unified platform
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What lessons from digital banking can teach wealth firms about scaling and reducing costs
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Why voice could become a much more natural way for advisors to interact with their technology
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How lowering the cost to serve could make professional financial advice accessible to more clients
Resources:
Connect with Shannon Rosic:
Connect with Mark Swan:
About Our Guest:
Mark Swan is the CEO and Co-founder of Nevis, an AI platform built specifically for wealth management firms. Originally from Scotland, he brings a global perspective shaped by his experience helping scale Revolut into one of the largest digital banks in the world. At Nevis, Mark is focused on reducing the administrative burden that limits advisor capacity, using AI to streamline workflows and improve how firms operate. His work centers on helping advisors spend less time on processes and more time with clients, while also expanding access to financial advice through more efficient and scalable systems.
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