AI agents for Jira
A Monmo agent works in Jira the way a steady engineering coordinator would. It triages new issues, writes clear bug reports from support tickets, runs JQL for the questions you ask, prepares sprint reviews and backlog refinement, and points out stale or duplicate issues. It uses your own Atlassian account and asks before it creates, edits, assigns or transitions an issue.
Updated 2026-11-13 · Free to start. Paid plans from $15 a month.
What agents do in Jira
Sort yesterday's new issues
It reads issues created since yesterday, checks each for a duplicate, proposes issue type, priority, component and labels, and asks before applying the batch.
AskEvery weekday at 9, triage yesterday's new issues in the WEB project and show me the proposed fields.
Write a bug from a support ticket
From a Zendesk ticket it writes the Jira bug with steps to reproduce, expected and actual behaviour, the customer's plan and browser, and a link back to the ticket, ready to create on approval.
AskTurn Zendesk ticket 48213 into a Jira bug in PAY with clear steps to reproduce.
Answer a question with JQL
Ask how many high-priority bugs are open in the Payments component. It writes the JQL, runs it, and answers with the count, the oldest issues and the query so you can save it as a filter.
AskHow many high-priority bugs are open in Payments, and which three are oldest? Give me the JQL.
Prepare the sprint review
On the last day of the sprint it lists what was completed, what carried over and why, and story points delivered against committed, then drafts the review notes for Confluence.
AskPrepare the sprint review for Sprint 42: done, carried over with reasons, and points committed versus delivered.
Get the backlog ready for refinement
Before refinement it reads the top of the backlog, flags issues with no acceptance criteria or estimate, finds duplicates, and drafts the missing details for the team to confirm.
AskCheck the top 20 backlog issues in MOB for missing acceptance criteria and duplicates before Thursday's refinement.
Write the stand-up digest
Before stand-up each weekday it lists issues that changed status yesterday, anything flagged as blocked, and issues in progress for more than five days, as a short digest for Slack.
AskEvery weekday at 9:45, draft a stand-up digest for the Platform board: moved, blocked, and in progress too long.
Connect issues to the code
It reads the GitHub pull requests that mention an issue key and writes a short comment on the issue saying what changed and where review stands, posted once you approve.
AskFor each issue in the current sprint, summarise its linked pull requests and draft a status comment.
How it connects
- 1You sign in with your own Atlassian account once. If third-party apps are restricted, your Jira site admin may need to approve the connection. The agent sees only the projects that account can browse.
- 2You choose which agents may use Jira. An engineering agent fits, a support agent can be allowed in to file bugs, and your marketing agent can be left without access.
- 3Searching, running JQL and reading issues need no approval. Creating or editing issues, transitioning them through the workflow, assigning, logging work, commenting and changing a sprint ask first.
More in Projects, tasks and time
Other apps of this kind that agents work in, each with its own page.
Questions people ask
Can an AI agent create and update Jira issues?
Yes, after you approve. A Monmo agent drafts new issues from support tickets, Slack threads or meeting notes, and prepares edits such as priority, assignee, labels or a transition to the next status. You see each change on one card. It works through the Jira connection, or in its own browser when the connection does not cover a step.
Can it write JQL queries for me?
Yes. Ask in plain words, such as bugs in Payments opened this quarter and still unassigned, and the AI agent writes the JQL, runs it and answers with the results. It gives you the query too, so you can save it as a filter or use it on a dashboard.
Is it safe to connect Jira to an AI agent?
The agent uses the Atlassian account you connect and can see and do only what that account can in Jira. Reading and searching happen without asking; creating, editing, assigning and transitioning issues wait for your approval. You can watch its screen while it works and remove the connection at any time.
Can it help with sprint planning and reviews?
It prepares the material. For a review the agent lists completed and carried-over issues with their points; for planning it checks the top of the backlog for missing estimates and acceptance criteria. Deciding what goes into the next sprint, and how much the team commits to, stays with the team.