What is AI-powered project management?

How to do it

1. 1

   The AI attends the meeting

   It joins Teams, Meet, Zoom or Webex as a participant and transcribes in the language spoken, even if it changes during the call.

2. 2

   It extracts the structure

   From the transcript it produces requirements, decisions, actions with owners and dates, open questions and risks, each with the sentence that produced it.

3. 3

   It compares with the project so far

   New statements are checked against earlier decisions and requirements, and anything contradictory is raised as a conflict.

4. 4

   A person approves

   Everything arrives as a proposal. Accepting it writes a new version and keeps the previous one in the history.

5. 5

   The plan follows

   Phases, dependencies, milestones and a Gantt are generated from the approved requirements and updated as they change.

Good to know

• AI is most accurate at extraction (what was said) and least accurate at prediction (what will happen).
• Traceability to the source sentence is what makes an AI-written requirement auditable.
• The EU AI Act forbids inferring emotions of people at work, so meeting AI must not score attitude or engagement.
• Segua.ai labels every exported document as AI output to be reviewed by a professional.
• One meeting can produce minutes, requirements, decisions, questions, risks, architecture diagrams, a plan and a Gantt.

Related questions

Is this different from an AI assistant in a tracker?

Yes. An assistant in a tracker works on items someone already created. Meeting AI creates the items from the conversation itself.

What can it not do?

Set priorities, negotiate with stakeholders, judge people, or predict delivery dates it has no evidence for.

How do I try it?

Paste a transcript into the public demo without an account, or create an account and run your first meeting free.

Other answers