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The Jira integration connects WorkLLM to your Atlassian Jira instance. Once connected, you can reference issues, epics, and sprints in any AI conversation, and AI Agents can create tickets, update issue status, add comments, and generate sprint summaries as part of automated workflows. Engineering, product, and support teams use this integration to reduce the manual overhead of issue management and keep Jira data current without switching between tools.

What the Jira integration enables

Reference Jira issues in chat

Pull Jira data into any conversation using natural language. Ask about open issues, sprint progress, or the status of a specific ticket — WorkLLM reads the issue details so you can discuss, analyze, and act on them.
  • “What are the open bugs in the mobile app project?”
  • “Summarize the issues in the current sprint.”
  • “What’s the status of PROJ-482?”
  • “List all P1 issues assigned to the backend team.”

AI Agents can act in Jira

Agents with Jira access can perform the same actions a team member could: create issues, update status and assignees, add comments, and link related tickets. This makes it practical to automate repetitive Jira work that would otherwise require manual entry.
  • Create a bug ticket automatically when an error threshold is hit in monitoring
  • Update issue status based on GitHub PR merges or CI/CD pipeline outcomes
  • Add a comment to a Jira ticket summarizing a related Slack conversation
  • Generate a sprint summary report from open and closed issues

Connecting Jira

Jira uses Atlassian’s OAuth 2.0 authorization. If your team uses Jira Cloud (jira.atlassian.net), the connection process is straightforward. If you use Jira Data Center (self-hosted), contact your WorkLLM admin to confirm that your instance is reachable and configured for OAuth.
1

Open Integrations

Click Settings in the left sidebar, then select Integrations.
2

Find Jira

Scroll to the Jira section and click Connect.
3

Sign in to Atlassian

You will be redirected to Atlassian’s authorization page. Sign in with your Atlassian account (the one you use to access Jira) if prompted.
4

Select your Jira site

If you have access to multiple Atlassian sites, select the Jira site you want to connect to WorkLLM.
You can connect WorkLLM to one Jira site per connection. If your team operates across multiple Jira sites, connect the one your team uses most frequently first.
5

Review and authorize permissions

Atlassian will display the permissions WorkLLM is requesting. Review them and click Accept to complete the connection.
6

Confirm the connection

You are redirected back to WorkLLM. Jira will appear as Connected in your Integrations page, showing the name of the connected site.

Required permissions

WorkLLM requests the following Jira permissions:
PermissionWhat it allows
Read Jira dataView issues, projects, sprints, epics, comments, and boards
Write Jira dataCreate issues, update issue fields and status, add comments
Read user and group infoIdentify users for assignment and attribution
Manage sprintsRead sprint data and generate sprint reports
WorkLLM can only access projects that the authorizing user has permission to view in Jira. Project-level permissions are respected — WorkLLM does not bypass your Jira access controls.

Use cases

Bug triage agent

An Agent monitors incoming bug reports from your support tool or error tracker, creates a Jira ticket with structured details, assigns it to the right team, and posts a summary to Slack.

Sprint planning summaries

Before sprint planning, an Agent pulls all candidate issues from the backlog, groups them by theme and estimate, and generates a structured summary for the planning meeting.

Engineering stand-up automation

Each morning, an Agent queries open issues assigned to each team member, identifies blockers, and posts a formatted stand-up summary to the team’s Slack channel.

Incident ticket automation

When a Datadog alert fires, an Agent creates a Jira incident ticket, links the related alert, assigns it to the on-call engineer, and tracks the resolution timeline.

Generating sprint summaries

One of the most common Jira workflows in WorkLLM is generating sprint summaries. You can ask for a summary in chat at any time:
  • “Give me a sprint summary for the current sprint in the Platform project.”
  • “How many story points did the team complete last sprint?”
  • “What issues were not completed and carried over to this sprint?”
For recurring summaries, configure an AI Agent to generate and distribute the sprint report on a schedule — for example, posting to Slack every Friday afternoon.

Disconnecting Jira

To remove the Jira integration:
  1. Go to Settings → Integrations
  2. Find Jira and click Disconnect
To fully revoke access on Atlassian’s side, go to your Atlassian account at id.atlassian.com, navigate to Security → Connected apps, find WorkLLM, and click Revoke access.