Morningstar, a leading provider of independent investment research and insights, has launched a new AI assistant embedded within Direct Advisory Suite, its flagship platform for financial advisors. The introduction marks a significant step in the company’s shift toward an AI-first advisor experience, designed to help professionals prepare for client interactions, respond to investment questions and manage advisory workflows more efficiently.
The new AI assistant functions as an interactive, AI-powered workspace that combines investment research, portfolio analysis and proposal generation within a single integrated environment. Leveraging Morningstar’s independent data and proprietary research, the assistant delivers timely insights and automates complex multi-step processes—helping advisors generate client-ready materials faster and with greater confidence.
“Advisors are facing rising client expectations and growing workloads, and incremental efficiency gains aren’t enough,” said Thomas Aviles, head of advisor software at Morningstar. “Our AI assistant delivers outcome-orientated support so advisors can walk into client conversations better prepared to deliver high-quality guidance.”
A Unified AI Workspace for Advisors
Integrated directly throughout Direct Advisory Suite, the AI assistant allows advisors to use natural-language prompts to navigate tasks—from onboarding a client to analyzing portfolios and generating final reports or proposals—without switching between tools. Activities that once required multiple steps and modules can now be completed within a single workflow.
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By maintaining context across each stage of the advisory process, the assistant intelligently applies relevant data and platform capabilities as tasks progress. This approach helps reduce manual navigation, streamline workflows and shorten the learning curve that can slow advisors down.
Supporting Critical Advisor Tasks
The AI assistant is designed to assist with several essential advisory functions, including:
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Identifying significant rating changes within investment portfolios
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Preparing meeting briefs ahead of client discussions
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Conducting investment research and portfolio analysis
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Converting client statements and requests into actionable proposals
Because the assistant is powered by Morningstar’s independent data and research ecosystem, its outputs are grounded in the same trusted insights advisors already rely on for investment decisions.
The platform also incorporates enterprise-grade security protections, ensuring that client information remains protected. Importantly, customer data is not used to train AI models.
Advancing Morningstar’s AI Strategy
The launch represents a major milestone in Morningstar’s broader AI strategy aimed at becoming the intelligence layer for investing—providing investors and advisors with analyst-backed ratings, research and insights. The new AI assistant replaces the company’s earlier AI chatbot, Mo, and introduces a more deeply integrated approach to AI-driven advisor workflows.
“Our mission has always been to empower investor success, and advisors are central to that work,” Aviles said. “By standing alongside them with innovative tools designed to elevate their insight and sharpen their recommendations, we’re helping advisors guide investors with clarity and confidence.”
