What AI summaries actually do
Modern LLMs (Gemini 2.5, GPT-5) cluster conversation by topic, extract decisions, action items with owners and follow-up dates, and produce a digest in any tone — from executive bullet points to a narrative recap.
Accuracy benchmarks to demand
Coverage above 95% of decisions, zero hallucinations on facts, and consistent attribution of actions to the correct speaker. Anything below that creates rework and risk.
Where summaries fit in your stack
Best as a complement to a structured doc (minutes, project tracker), not a replacement. Push summaries to Slack/Teams the moment the meeting ends — engagement drops 80% after 24 hours.
From recap to formal minutes
Quorade does both: a shareable AI summary and a legally structured minutes document, generated from the same recording in one pass.