Nine Ways an AI Company Brain Breaks on Real Meeting Calls

A studio that sells AI meeting-note and company-knowledge systems describes nine recurring failures it encountered over a month of live calls. Three bots recording one meeting produced duplicate entries because speaker-name matching failed to catch them. Long transcripts cut into chunks led to early proposals being logged as final decisions alongside the real outcome. Transcription errors, including translation glitches, altered weekdays and product terms, which could corrupt the facts users later ask about. The author argues these issues are fixable but rarely surface in demos. Each failure is paired with a suggested fix and questions buyers should put to vendors.