How Should Financial Advisors Build Their AI Tech Stack? | Jessica Perez

<p>Financial advisors don&#39;t have a technology problem. They have an infrastructure problem.</p><p>You buy the CRM. The AI notetaker. The planning software. The dashboard. Another tool gets added because it&#39;s supposed to make the practice more efficient.</p><p>Then you look up and you&#39;ve got a dozen logins, systems that don&#39;t talk to each other and data scattered across your entire tech stack.</p><p>Jessica Perez has spent more than 20 years in financial services, including senior leadership at Carson Group, and today works with advisory firms at MileMarker.</p><p>I brought her on <em>Vaulted Views</em> because she spends a lot of time thinking about the infrastructure underneath a modern advisory firm.</p><p>We get into what happens when your CRM, financial planning software, reporting tools and AI each have a different piece of the picture. Jessica explains why connected data matters, what a unified data infrastructure can look like, and how AI changes the conversation around what financial advisors should build, buy or partner for. </p><p>That last part is important to me.</p><p>I don&#39;t think the goal is for every financial advisor to become a technology company.</p><p>The goal is to build the right systems around the advisor so the technology does what it&#39;s supposed to do: <strong>give you more time to advise, build relationships and grow the business.</strong></p><p>In this episode, we cover:</p><ul><li>How financial advisors should think about their AI tech stack</li><li>Why adding more fintech doesn&#39;t necessarily solve the underlying problem</li><li>What unified data infrastructure actually means</li><li>Why AI makes clean, connected data more important</li><li>How disconnected AI tools can create new silos</li><li>What advisors should build, buy or partner for</li><li>How connected technology can reduce operational work</li><li>Why data and infrastructure can matter to the enterprise value of an advisory firm</li><li>How AI agents could work across an entire advisory business</li><li>Where growing financial advisors should start with AI</li></ul><p>Jessica shares one example I thought was pretty incredible: one MileMarker partner reported saving <strong>38 hours a month on basic reporting.</strong></p><p>That&#39;s the kind of number I care about.</p><p>Not because reporting is exciting. Because that&#39;s 38 hours that can go somewhere else.</p><p><strong>I want my advisors advising. I want my marketing people marketing. I want my tech people doing tech.</strong></p><p>And if you&#39;re trying to grow an independent advisory firm, I think that&#39;s the bigger AI conversation.</p><p>Not: <em>What&#39;s the next tool I should buy?</em></p><p><strong>What infrastructure, systems and partnerships do I need to build the firm I actually want?</strong></p><p>That&#39;s something we&#39;re thinking about every day at Quotient.</p><p>👉 Join the Quotient Advisor Community: quotientadvisor.com</p><p>👉 Connect with me on LinkedIn: linkedin.com/rayluciajr</p><p></p>