From the smallest charities to the largest multinational corporations, organizations have traditionally viewed keeping minutes as a necessary evil, endorsing them as a critical tool for documenting corporate decision-making, but often bemoaning the time, expense and drudgery associated with their preparation.
Now, AI tools that record, transcribe or summarize meetings are touting their ability to produce high-quality minutes at a lower cost. It is worth closely examining, however, what these tools actually produce. Traditionally prepared minutes are a carefully curated record: a concise, official account that a board reviews and deliberately adopts. AI note-taking tools instead generate (or at least attempt to generate) a verbatim transcript or an automated summary of everything that may have been said. Labeling an AI output “minutes” no more makes it so than calling a rough draft a “contract” makes it binding. Raw transcripts and automated summaries become minutes only after careful human curation, and the gap between AI-generated outputs and curated records drives most of the benefits (and most of the risks) discussed below.