BERWYN, PA — At its Elevate 2025 conference, Envestnet introduced two groundbreaking AI-powered tools, Generative Business Intelligence (Gen BI) and Insights AI, designed to revolutionize data-driven decision-making for wealth management advisors.
Generative BI enables advisors to access real-time insights through natural language queries, eliminating the need for specialized coding or data expertise. Powered by machine learning and OpenAI’s large language models (LLMs), the tool dynamically creates visual dashboards and analytics with built-in data explainability, drastically reducing time and costs.
“With Gen BI, we’re removing barriers to firm-wide data fluency,” said Jeremi Karnell, Head of Envestnet Data Solutions. “Now, every advisor can interact with their data as easily as having a conversation.”
Insights AI expands on the company’s existing Insights Engine, adding real-time, personalized support through AI workflows designed to interpret advisor intent. The platform aids in identifying opportunities like tax-smart harvesting, asset consolidation, and proactive client engagement by providing context-rich recommendations.
“Insights AI isn’t just conversational—it’s contextually aware and outcome-focused,” explained Dave Lieberman, Principal Director of Product at Envestnet. “It’s like giving every advisor a personal AI research analyst, always on and always learning.”
The enhanced platform integrates seamlessly with CRM tools such as Salesforce and Microsoft Dynamics while unifying off-platform assets for a comprehensive view of client portfolios.
“Advisors don’t need more dashboards—they need AI tools that turn data into instant, intelligent action,” said Craig Iskowitz, CEO of Ezra Group. “Envestnet’s AI solutions shift the focus to embedding insights directly into an advisor’s daily workflow, creating real-time decision-making capabilities.”
With Gen BI and Insights AI, Envestnet aims to transform wealth management by delivering actionable intelligence and smarter client strategies, positioning advisory firms to compete effectively in a data-driven future.
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