| You get | A proposed action list, decisions and unanswered questions |
|---|---|
| Stays with you | Confirming commitments, assigning tasks and sending the recap |
| You need | Notes you may share, an AI tool and a review document |
| Rough cost | Try one meeting with your existing AI access; recording and transcription are separate |
| Skip it if | A few handwritten tasks already cover the meeting |
1What it looks like handed off
A transcript is a record of the conversation. You still need to work out what anyone agreed to do. This job turns notes you already have into a proposed list you can check.
Each task carries its source passage, an owner only if named, and a deadline only if agreed. Suggestions and unresolved questions stay separate. This is a process you can try, not a report of an agency system we've operated.
| From the notes | Proposed list entry |
|---|---|
| Paragraph 4: “Dana: I'll send the revised menu to the printer by Friday.” | Dana: send revised menu. Due Friday; confirm the calendar date. |
| Paragraph 8: “We could add delivery next month.” | Open idea: delivery. No decision, owner or task assigned. |
| Paragraph 11: “Someone needs to check that price.” | Unassigned: confirm price. Owner and deadline need a decision. |
That distinction is the useful part. A tidy list that silently turns “we could” into “we will” gives you a new problem.
2The job, end to end
- Save the notes as a dated file with numbered paragraphs. If you already have a permitted transcript, keep its timestamps. This job doesn't require recording a meeting.
- Give the agent the notes and a simple output format: confirmed decisions, proposed tasks and open questions.
- Require a source passage for every entry. Leave owners and dates blank when the notes don't establish them.
- Compare each entry with the passage. Check who spoke, negation, changed decisions and dates described as “next Friday.”
- Resolve the missing owners or commitments with the people involved. Save the checked version separately from the proposal.
- Assign the confirmed tasks yourself. Afterward, a separate approved follow-up process can track what's outstanding.
If you have many meetings, an agent can watch a folder for new notes and prepare the review document. Keep a record of which file version it processed. A changed source needs another review; a second copy of the file shouldn't create another set of tasks.
Once work is actually assigned, the follow-up guide shows how to prepare nudges. An action-list proposal isn't permission to email anyone.
3What stays with you
- Commitments
- You decide whether the notes capture an agreement. The agent extracts a proposal; it doesn't make a promise on another person's behalf.
- Task assignment
- Start with no access to your task app, email or calendar. The agent writes a review document; you enter the approved tasks.
- Sharing
- Use only notes you're allowed to give to the AI provider. Remove private details you don't need for the task. Recording and transcription require their own permission and data checks.
- When it's unsure
- It quotes the unclear passage and asks a question. “Owner not stated” is a useful result.
If you use a shared document, check who can read and edit it. Google's file-sharing guidance explains its access roles. Review access inherited from folders too.
4When it gets something wrong
- A suggestion becomes a decision
- Move it to open questions. Ask the agent to preserve words like “could,” “maybe” and “if.”
- The wrong person gets the task
- Check the speaker and the actual commitment. Being mentioned in the same paragraph doesn't make someone responsible.
- A deadline gets invented
- Leave it blank. If a relative date is unclear, ask before putting it on a calendar.
- It misses a task
- Read the full notes during the first few runs. A source passage proves where a listed item came from; it doesn't prove the list is complete.
- The notes change
- Mark the previous proposal as needing review. Keep the old version for comparison and reconcile already assigned tasks before creating anything again.
Keep the source alongside the checked list. For corrections, use a dated version or your document app's version history. You need to know which notes supported a decision, not just what the latest summary says.
5What it costs
Try one short set of notes with the AI access you already have. Plan limits and model usage vary; check your actual usage before adding a recurring run. This process buys no recorder, transcription service or task integration.
The main cost at first is your check of the proposed list. If you have to correct most entries, improve the notes or simplify the instructions before adding automation. A vague transcript doesn't become an accurate record because you process it every week.
Doing it yourself
- Number the paragraphs in a copy of notes you're allowed to share. Keep the original.
- Ask your AI tool: “Extract decisions, proposed tasks and open questions. Quote the supporting paragraph for each. Name an owner or date only when explicitly agreed. Do not assign tasks, contact people or change records.”
- Check the output line by line against the notes, including what was rejected or changed later in the meeting.
- Resolve missing owners, dates and agreements with the people involved.
- Save the checked list with the source version, then assign the confirmed work yourself.
6When not to bother
For a short meeting, write the tasks as you talk and read them back before everyone leaves. That's often enough.
If the notes are too incomplete to establish what happened, ask the participants. AI can't recover an agreement that wasn't recorded.
For insurance work, a meeting summary isn't coverage advice or an authoritative agency record. Licensed staff must check any policy facts and follow the agency's recordkeeping process. This guide doesn't demonstrate an EZLynx or Applied Epic integration.
If the source is a messy spreadsheet, clean a copy first and keep the change log. Clear source material matters more than a longer prompt.
7Want this running on your own computer?
I'll set it up, and keep it running if you like. On a Mac mini, a Windows PC or Omarchy, with the agent you use or want: OpenClaw, Hermes, Claude Code, Codex or another. Out of the box, it asks before it spends money or sends anything. Tell me about the job and I'll quote it. If a $20 subscription does it, I'll tell you. You keep the computer, the accounts and the setup.
Tyler Mayberry, who runs Cirlet (formerly Animas)
Cirlet sets up assistants and teaches teams at independent insurance agencies nationwide. Monthly live training and lifetime learning-library access are included. Open the team training library.