AI Note-Taker

The value is not the transcript. It is what a business does with it. Notes that land in the CRM mean the follow-up happens. A buyer's exact words, pulled from a call, often describe the problem better than anything written for the website. And the person on the call can listen instead of scribbling, which is when the useful questions get asked.

• Say at the start that the call is being recorded. Rules differ by country and by US state, and some require consent from everyone present.
• Connect the tool to the CRM so action items sit where follow-up work happens.
• Skim each summary before acting on it. Names, figures and dates can come out wrong.
• Keep a list of phrases customers use and reuse them in copy and emails.
• Decide how long recordings are kept, and delete them on schedule.

The tool either joins the meeting as a named participant or listens to the audio on the user's device. It converts speech to text, then a language model turns the transcript into a summary, decisions and tasks. Fireflies.ai, Otter.ai and Fathom are common examples. The output is searchable, so "what did the client say about the budget in March" has an answer.

• Trusting the summary over the transcript for anything involving money or commitments.
• Recording calls about sensitive topics, such as HR or health, without a clear reason.
• Letting the bot join every meeting by default, including ones with people who did not expect it.