AI-assisted analysis refers to the application of machine learning and natural language processing to qualitative research data, enabling research teams to move from raw interview recordings to structured, thematic findings in a fraction of the time traditional manual coding requires. Within AI-moderated research workflows, it typically covers automated transcription, translation, sentiment detection, thematic clustering, and quote extraction. The value is not speed alone. Well-designed AI-assisted analysis preserves the depth and nuance of real human conversations, surfacing patterns across dozens or hundreds of sessions that a single analyst reviewing transcripts manually would likely miss or take weeks to document. For enterprise insights teams, this capability is what makes qualitative research scalable without sacrificing rigor.