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Use case

AI Workflows for Meeting Action Items

Decisions die in the gap between the meeting and the tracker. The notes capture 'Sarah will own the migration plan' and then nothing happens, because transcribing commitments into tickets is low-status work that loses to everything else. Two weeks later the same meeting re-litigates the same decision.

The gap is small — minutes of clerical work — but it's recurring, boring, and structurally unowned, which is why it never closes.

How it works with an agent fleet

A Fleet workflow reads committed meeting notes, extracts the commitments, and — after the meeting owner approves the extraction — files them as real tickets via the workflow's ticket output.

genflows:
  - name: action-items
    steps:
      - {name: extract, prompt: "Extract action items from the notes: owner, commitment, due date if stated. Verbatim quotes for each. Flag ambiguous ownership.", corpus: ["meetings/notes/*.md"], kind: report, out: actions.md}
      - {name: owner-ok, depends_on: [extract], kind: approval, out: decision.md}

In the dashboard builder, the post-approval step's output sink is a ticket: each approved action item becomes an issue with the owner and the quoted commitment, created through Fleet's ticket-system integration (GitHub issues today). The approval gate matters here precisely because tickets ping people — the meeting owner confirms the extraction before anyone gets assigned anything.

The fleet pattern

Notes corpus → extraction with verbatim quotes → owner approval → tickets created. The clerical gap between 'we decided' and 'it's tracked' closes structurally.

Guardrails that matter here

  • Nothing is filed without the owner's approval — extraction errors get caught before they become misassigned tickets
  • Verbatim quotes ride along with each item, so a disputed commitment links back to what was actually said
  • Ambiguous ownership is flagged rather than guessed — the failure mode of auto-extraction is surfacing, not hiding

Who this is for

Chiefs of staff, EMs, and ops leads who run decision-heavy meetings and keep notes in a repo (or can export them to one) — anywhere follow-through depends on a human remembering to transcribe.

Frequently asked questions

Our notes live in Google Docs / Notion — does this work?

The corpus is file-based, so the notes need to land in a repo — many teams already export or sync them. The extraction quality tracks the notes quality: structured notes with names produce clean items.

What ticket systems are supported?

GitHub issues today, through Fleet's ticket-system abstraction. The workflow creates or refines issues as its output sink — assignment and labels included.

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