The answer
Mostly. Recording, transcribing, summarising and turning decisions into tasks are largely automatable today with AI note-takers. In our model about 75% of the time goes to software. What stays human is checking that each action has a real owner and date, and chasing the people who said yes and then went quiet.
The tasks, and how much of each is automatable today
Six tasks make up meeting notes. Taking notes, writing the summary and creating tasks are 80 to 90% automatable because AI transcribes and summarises well. Pulling out action items is about 70% automatable: AI finds them, but often misses who owns them. Chasing owners afterwards stays mostly human, because it is accountability, not admin.
| Task | Min / week | Automatable |
|---|---|---|
| Take notes during the meetingAI note-takers transcribe accurately in clear audio. The 15% left is meetings that cannot be recorded, or crosstalk and jargon that needs a fix. | 225 | |
| Write up the summary and decisionsAI summaries are good at what was said. A person still corrects what was meant, especially where a decision was implied rather than stated. | 150 | |
| Pull out action items with an owner and a dateAI finds most actions but often assigns them to 'the team'. A rule that every action needs a named owner, or is flagged, closes most of the gap. | 75 | |
| Create the tasks in the project toolStraight data movement once actions are structured. A person only checks the odd duplicate task. | 60 | |
| Send the recap to attendees or the clientInternal recaps can go out automatically. Client recaps deserve a 30-second read before sending, because tone and commitments matter. | 45 | |
| Chase owners on open actionsSoftware can send reminders when a task is overdue. Getting a busy person to actually do it is still a management job. | 60 | |
| Whole process | 615 |
Hours saved per week
For a 12-person agency running about 15 internal and client meetings a week, notes and follow-through take around 10.5 hours of someone's week by hand. Automating the tasks above returns about 7.5 hours a week. The time left is the useful part: reviewing actions and holding people to them.
Modelled on: A 12-person agency holding about 15 internal and client meetings a week, with an assistant or project manager writing up notes by hand.
- 15 meetings a week, averaging 45 minutes, with about 15 minutes of note-taking effort each.
- About 10 minutes per meeting to turn rough notes into a summary someone else can read.
- Around 5 actions per meeting, each taking about a minute to log as a task.
- About an hour a week spent chasing people on actions they agreed to.
Tools that do the job
You need a note-taker that joins calls and transcribes, an AI step that extracts decisions and actions in a fixed format, and a task tool that receives them. Fireflies covers the first two. n8n, Make or Zapier pushes actions into Notion, Airtable or your project tool, and posts the recap to Slack.
- Fireflies
- Joins calls, records, transcribes and produces a first summary.
- AI agent
- Turns the transcript into a fixed format: decisions, actions, owner, due date, and an 'unowned' list.
- n8n
- Runs when the transcript is ready, creates tasks, and routes unowned actions to the organiser.
- Notion
- Holds the meeting log and the action tasks in one searchable place.
- Slack
- Posts the recap to the project channel so nobody has to open another tool.
A simple workflow
The workflow starts when a calendar meeting ends and the transcript is ready. An AI step writes a summary and a list of actions, each with an owner and a due date or an explicit 'unowned' flag. Actions become tasks. The recap goes to attendees. Unowned actions go to the meeting organiser.
- TriggerMeeting ends and the note-taker marks the transcript ready.
- ExtractAI writes a five-line summary, a decisions list and an actions list in a fixed structure.
- CheckAny action without a named owner or date is flagged 'unowned' rather than guessed.
- ActOwned actions become tasks in the project tool, linked back to the transcript.
- ShareRecap posts to Slack for internal meetings, or drops into a draft for the account lead on client calls.
- EscalateUnowned actions and tasks overdue by two days go to the meeting organiser.
Keep these human
- Deciding who owns an action when the meeting did not say. Software guessing an owner creates tasks nobody accepts.
- Reading client recaps before they go out. A summary that states a commitment the client did not make costs trust.
Where it goes wrong
- Summaries nobody reads. If the recap lands in email, actions die there. Push actions into the task tool where work is already tracked.
- Recording without consent. Some jurisdictions require every party to agree to recording. Announce the note-taker and let clients opt out.
- Garbage transcripts from bad audio. Laptop microphones in a meeting room produce errors that flow into tasks. Fix the audio before blaming the AI.
What most guides miss
Most guides compare AI note-takers. The note-taker is the easy part. Action items fail because they lack an owner and a date, and AI tends to assign them to everyone. Force a fixed output format with an explicit 'unowned' list, and send that list to the organiser. That one rule matters more than which tool you pick.
The evidence
- Knowledge workers spend 58% of their day on 'work about work', such as chasing status and searching for information.Asana, Anatomy of Work Global Index 2023 (2023)
- 62% of people say they struggle with too much time spent searching for information at work.Microsoft, Work Trend Index 2023: Will AI Fix Work? (2023)
- Data collection, the activity type behind note-taking, has a technical automation potential of 64%, which generative AI raises to about 79%.McKinsey & Company, The economic potential of generative AI: The next productivity frontier (2023)
“There is surely nothing quite so useless as doing with great efficiency what should not be done at all.”