An AI research assistant is a purpose-built analytical layer within an AI-moderated research platform that allows insights professionals to interact with their qualitative data the way they would with a knowledgeable colleague. Rather than exporting transcripts and coding manually, researchers can ask direct questions such as which segments showed the strongest emotional response or how attitudes shifted across markets, and receive sourced, traceable answers grounded in real participant responses. In the context of AI-moderated research, the assistant connects findings across multiple studies, flags contradictions between new and prior evidence, and can generate synthetic personas built from real responses to help teams pressure-test concepts before committing to a direction. For enterprise CMI and insights teams managing large volumes of qualitative data, this capability transforms a static archive into a continuously queryable intelligence layer.