Issue link: https://resources.envestnet.com/i/1538384
1 FOR HOME OFFICE AND ADVISOR USE ONLY. NOT FOR DISTRIBUTION TO THE PUBLIC. Tools to Intelligence: How Envestnet is Using AI to Power the Future of Financial Advice Executive Summary AI is rapidly evolving across financial services, but much of the focus remains on surface-level use cases—note taking, document summarization, content generation (blogs, newsletters, images), etc. At Envestnet, we've taken a more foundational approach. We're building an intelligence layer designed to help advisors and enterprises move from reaction to orchestration. Our strategy is centered on Decision Intelligence—a model that combines data science, behavioral context, and predictive analytics to support better decisions, not just faster outputs. This paper outlines how Envestnet is operationalizing AI across the wealth ecosystem, why we believe intelligence is more important than tooling, and how we're aligning innovation with the advisor's core responsibility: delivering trust-based, outcome-driven financial advice. A clearer view of AI's role in wealth management. A look ahead at the next 1-3 years. The industry is at an inflection point. The advisor-client relationship is still grounded in trust and human interaction, but the way advice is delivered is undergoing a structural shift. Client needs are no longer static—they change dynamically based on life events, market movements, and evolving goals. Over the next few years, we see AI driving a transition from episodic advice to continuous, data-informed engagement. Financial plans will become living, adaptive systems. Risk analysis will become more real-time and personalized. Advisors will gain capabilities to anticipate questions and proactively offer insight at the right moment—not after the fact. This isn't theoretical. It's already beginning to take shape across our ecosystem. We're building the scaffolding for a model where financial decisions are connected, continuous, and confidently guided by timely intelligence. What's driving Envestnet's early investment in AI and data science. The decision to embed AI into our platform was driven by a few key realities: rising client complexity, fragmented data sources, and an industry-wide need to do more with less. We knew that simply layering automation on top of old workflows wouldn't solve these problems. Instead, we focused on building the infrastructure that allows advice to evolve. That meant connecting disparate data, harmonizing advisor workflows, and creating intelligence systems that support decisions at scale. We made a deliberate shift from feature development to systems thinking—focusing on how AI could be embedded deeply into the rhythm of advice, not simply bolted on. This foundation now allows us to roll out capabilities with speed, confidence, and consistency across our advisor, enterprise, and institutional segments. AI's role and fit into Envestnet's broader enterprise strategy. Every AI initiative is mapped directly to business outcomes—whether that's enabling advisors to serve more clients, helping home offices optimize their network of advisors, or allowing institutions to grow efficiently within complex regulatory environments. A strategic perspective on decision intelligence, data, and human-centered AI