We are focused on making our software more AI native at its core, expanding beyond the existing assistants. Morningstar's extensive data, intelligence, and research give us an opportunity to leverage AI to curate a simpler and easier-to-use set of tools, unique and differentiated agents, and native use of our unique intellectual property (IP).
We’ve introduced several AI-enabled tools within the Direct platform. For example, AI Assistant, which is used for natural language screening, filtering, fund selection, performance & risk analysis, and more, has seen strong initial engagement. On the advisor side, AI Assistant is available in beta to a small subset of Direct Advisory Suite users for natural language screening, portfolio analysis, research, client management, and proposals. We’ve also introduced a coding assistant, which offers programmatic access to Morningstar Data, as well as AI synthesis of our proprietary Risk Model. In our content licensing business, clients are increasingly expecting AI-native delivery of our data, research, and IP to plug in seamlessly to the new tools they’re using and experiences they’re building. Our approach is to meet clients where they are so that it’s easy to power their AI tools with our AI-ready content and services.
It’s true that some basic AI features are expected. However, we believe that pairing AI technologies with Morningstar’s differentiated data, research, and IP as we draw on our firsthand knowledge of our clients’ compliance requirements and how they use our products, can help clients move faster with more confidence. As we incorporate AI to support our goal of embedding our content more deeply with clients and accelerating their workflows, we will continue to look for opportunities to align price with the value we deliver.