One of our four strategic goals is to leverage advances in artificial intelligence to drive innovation across internal and external products and services. We’re focused on three primary use cases: using AI as a tool to improve our team’s productivity, using AI to improve the quality and efficiency of our operations, and using AI to get better, faster, and targeted insights and experiences to our clients.
On the product side, we’ve seen particularly interesting use cases in Morningstar Direct Platform and PitchBook.
Further detail is provided below.
Morningstar Direct Platform
Since launching Mo in the spring of 2023, we’ve continually introduced new generative AI capabilities in our key products in Direct Platform. Many of these capabilities—including generative AI-powered product support, natural language screening, and latest research summaries on investment lists—are available in multiple products. Additionally, we’ve started introducing product-specific capabilities. As an example, within Direct Advisory Suite, advisors can upload and run account statements through our Intelligent Import service, which finds holdings and matches them to securities in our database to automatically create a portfolio. From there, advisors can use Mo to create an investment proposal for a client, including talking points customized to the proposal.
Key upcoming generative AI projects on our roadmap include:
- Introducing AI-ready content and services (like the Morningstar Agent) so that our clients can more easily leverage our data, research, and capabilities within their AI platforms
- Expanding Mo’s knowledge base (e.g., summaries of documents beyond our analyst research reports) and skillset (e.g., being able to answer user questions that require detailed understanding of our data sets, natural language report construction)
- Continuing to automate widely used workflows within select products like Direct and Direct Advisory Suite
PitchBook
PitchBook has an extensive roadmap to integrate artificial intelligence and machine learning capabilities across both the user experience and internal operations to drive productivity, accuracy, and scalability. Our approach has been grounded in real customer workflows.
Recent enhancements to products since the beginning of 2024 include:
- AI Earnings Call Transcripts: This tool automatically summarizes key takeaways from public company earnings calls, helping users quickly surface the most relevant insights without parsing lengthy transcripts.
- AI Company Profile Summaries: We now provide AI-generated summaries of key information in our company profiles—such as executive teams, investors, and funding history—along with direct links to more in-depth detail. This introduction streamlines navigation and saves time.
We continue to invest in embedding generative AI technology within the platform experience to deliver insights faster. We’ll continue to roll out AI features in a measured, customer-informed way—prioritizing use cases that deliver real value and productivity gains.
More broadly, PitchBook’s holistic product roadmap includes ongoing investment in expanding and enhancing its core data, research, software, and IP. We’re seeing recent enhancements drive engagement on the PitchBook Platform, which reached an all-time high for monthly active usage in April.