An Orkeste AI project manager reads issues in Jira and Linear, turns incoming requests into well-written issues or Trello cards, and posts a plain-language progress summary to Slack. It flags stalled work before it surfaces in a standup.
Every morning, read open issues in Jira and Linear and post a short progress summary to #product on Slack. List any issue not updated in five days. Turn bug reports that arrive by email into Jira issues.
Reads Jira, Linear and Trello in one run and writes a single digest, so the weekly meeting starts from facts instead of tab-reading.
Lists issues with no recent activity and the decisions waiting on someone, before a deadline slips.
Converts requests that arrive by email into Jira or Linear issues or Trello cards, with the details filled in, so new work lands where it belongs.
Drafts the update for each audience, the squad and leadership, and waits for approval before posting.
The agent assembles the status and the list of stalled work, then waits for a person to approve before anything is posted to Slack or written to Confluence. Judgement calls stay with your leads.
No. It replaces the assembly work a PM does before they can manage: collecting status, chasing updates, formatting reports. Trade-offs, priorities and difficult conversations remain human work, now backed by current data.
No. One agent can read both in the same run and produce a single cross-team digest.
Only if you allow it. Creating and commenting on issues, and changing a Linear issue’s status, can all wait in Validations. In Jira, agents do not change status or assignment.
The first digest can run the day you connect a board. Most teams then adjust the briefing, what counts as stalled and who it is for, over the first few runs.