How do AI Employees turn every meeting into notes and assigned action items?
An operations AI Employee connected to your calendar, the call transcript, and your issue tracker. After each call it writes structured notes and files the action items as tickets assigned to the people who own them.
×Most of what a meeting decides is lost within a day. The notes get taken by whoever remembers to, the action items live in someone's head, and the follow up happens only if a person turns the conversation into tasks afterward, which is the step that gets skipped when the next meeting starts. Turning a conversation into notes and tasks is real work, and it lands on whoever's least busy at the end of the call, which on a small team is nobody. Decisions get made, owners get named out loud, and then the meeting ends and none of it is written down. Recording the call solves the record but not the follow up: nobody rewatches an hour of video to find the three things they agreed to do. The gap is between the transcript and the tickets, and closing it by hand is exactly the chore that falls off. A week later the thing everyone agreed on hasn't started, because it was never a task.
Your calendar is connected to an AI Employee. When a call ends, it starts its own isolated run inside your infrastructure with scoped access to what note taking needs: the event, the transcript, and your issue tracker. It writes structured notes, pulls out the action items, and files each one as a ticket assigned to the person who owns it.
See exactly how the work gets done.
Triggers when a meeting ends
A signed webhook tied to the calendar fires when a meeting ends, and each firing starts a fresh, isolated run seeded with the event and its transcript. One meeting, one run. Back to back calls run in parallel, nothing shared between them.
Carries your note taking conventions
Your notes structure, how you phrase an action item, who owns which area, and past meetings for context travel with the AI Employee as skills and memory. It writes to that standard rather than inventing one, and the memory updates as projects move.
Connects what note taking can touch, with permissions you set
It reads the event and transcript, which cover attendees, agenda, and the full record of what was said. It writes structured notes with decisions, discussion, and next steps in your format. And it files each action item as a ticket in your issue tracker, assigned to its owner and linked back to the meeting. Credentials stay in memory, never written to disk, never exposed to the model.
Creates only; flags what it can't assign
The AI Employee writes notes and files tickets, but it only creates. It doesn't close, reassign, or touch existing work. An action item it can't confidently assign is flagged for a named human rather than routed to a guess.
Runs after every call
A finished call turns into a set of notes and a handful of tickets before the next meeting starts. 'Sarah will handle the migration' becomes a ticket assigned to Sarah. 'We decided to ship Friday' becomes a line in the notes. The follow up exists as tasks instead of a memory that fades.
Runs in your environment
Each meeting runs in isolation inside your own infrastructure; your data never leaves it. The run reads the transcript and context it needs, and only the notes and tickets it produces leave.
Permissions you set
The calendar and issue tracker credentials stay in memory, injected at run time, never written to disk, never exposed to the model or the logs.
A named human handles the uncertain calls
An action item the AI Employee can't confidently assign is flagged for a person instead of routed to a guess.
Creates only, never mutates existing work
It writes new notes and files new tickets; it doesn't close, reassign, or edit work that already exists.
You own it
The AI Employee's persona, skills, and permissions are yours, versioned and changed on your terms, not in a vendor dashboard.
The follow up that used to depend on someone remembering now arrives as notes and tickets minutes after the call ends. The team reads a clean summary and finds their tasks already in the issue tracker, instead of reconstructing the meeting from memory a week later.
Every call
Notes written and action items filed
Assigned
Tickets routed to the person who owns them
3 systems
The calendar, the transcript, and the issue tracker in one AI Employee
Our free AI audit shows you where AI fits, what your security risks are, and gets your first AI employee working.
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