An Orkeste AI project manager reads specs from Google Drive, tracks tasks and bugs across Jira and Linear, and posts a plain-language progress summary to Slack. It flags stalled work and missed dependencies days before they surface in a standup.
Read specs from Google Drive, track bugs and tasks in Jira, and summarize daily progress in Slack. Flag any issue with no activity for 5 days and tag its owner.
Pulls the real state of a project from Jira, Linear and Drive into one digest, so the weekly meeting starts from facts instead of tab-reading.
Flags issues with no activity, overdue owners and missed dependencies, and surfaces the three things that need a decision.
Converts inbound asks from email or Slack into tagged, assigned Jira or Trello cards so new work lands where it belongs.
Drafts the status update per audience, one for the squad, one for leadership, and waits for approval before posting.
The agent assembles the status and the blocker list, then waits for a human to approve before anything is posted to Slack or written to Confluence. Judgement calls stay with your leads.
This role belongs to AI agents for operations teams. Related roles: AI reporting analyst, AI executive assistant.
No. It replaces the assembly work a PM does before they can manage: collecting status, chasing updates, formatting reports. The trade-offs, priorities and difficult conversations remain human work, now backed by current data.
No. One agent can read both boards in the same run and produce a single cross-team digest, which is exactly the case where manual status assembly hurts most.
Only if you grant that permission per action type. Most teams let it create and tag tickets from intake but require approval for anything that changes status or assignment on existing work.
The first digest runs the day you connect a board. Teams usually spend the first week tuning the briefing, what counts as stalled, who gets tagged, and trust it as the meeting agenda by week two.