Morningstar’s AI Assistant "Mo": Saving 30% of Analysts' Time Spent on Research with LangGraph

Morningstar's 5-person engineering team launched "Mo," their first AI research assistant, and scaled it to nearly 20 production instances serving 3,000 internal users. In this video, see how they built an Intelligence Engine using LangGraph's multi-agent workflows to help analysts navigate 600,000+ investments and research articles. Key highlights: - Saved analysts 30% of their time by automating research and writing tasks - Reduced time spent on research by 20% and writing by 50% - Improved editing efficiency by 65% through agent-assisted workflows - Used LangGraph to create reliable multi-agent systems for data analysis - Scaled the platform to support 60+ Morningstar products and 3,000 users Must-watch for teams building AI research tools and enterprise knowledge management systems. 🔗 Discover more agent engineer stories: langchain.com/customers