Meetings that end with the work already assigned
Your meeting notes become tasks, Jira tickets, and Slack reminders, without you lifting a finger.
The problem
After a meeting, someone has to replay the recording, write up the actions, and manually create tasks in the project tracker. Then they chase people for updates. The hand-off from conversation to execution is slow, inconsistent, and easily forgotten.
What AI makes possible now
The AI attends your meeting, transcribes every word, and pulls out decisions and next steps. It opens your project management tool, creates tickets with the right due dates and assignees, and posts a summary to the team channel. Two days later, it nudges the assignee if the task is still open.
How it works
- A recording bot joins the call or you upload the audio file.
- The transcript is parsed for action items, decisions, and named owners.
- Tasks are created in your existing tool (Asana, Jira, Notion, or similar) with deadlines pulled from the conversation.
- A structured summary is posted to Slack or Teams immediately after the meeting.
- The system checks open tasks and sends a gentle reminder if they are past due, mentioning the assignee.
The first thirty days
In the first 30 days, the automation handles one meeting type. A bot joins your Zoom calls, transcribes, identifies actions, and creates tasks in a single tool of your choice. The meeting host receives a daily summary email listing all newly created tasks.
How it earns
It replaces the manual loop of meeting notes, task creation, and status chasing with a single automated thread. The cost of the automation is a fraction of the time your team spends on these repetitive hand-offs.
Why now
Remote and hybrid teams rely on meeting recordings, but action items still slip through the cracks because no one has time to transcribe and assign them precisely.
First customers
A small consulting firm that runs client-facing project meetings and needs every verbal commitment to become a tracked deliverable without delay.
The hard part
The AI might misinterpret who owns an action when names are ambiguous or the conversation is heavy with jargon. A human must review the generated tasks, especially for client-facing work, before they go live.
Build this with us
We map your meeting workflows, including the tools you use for task management and communication, then train the bot on your team's language and project structures. If you would like your meetings to end with the work already assigned, we can build this for you.