Two-way Jira sync, AI ticket enrichment, and a unified backlog that drives multi-agent software delivery from the boards your team already uses.
Tickets created in Jira appear in AI Expedite's backlog and vice-versa, with statuses, assignees, and comments synchronized through signed webhooks.
Vague tickets get rewritten with acceptance criteria, design notes, and linked code references so agents can pick up the work without a clarifying meeting.
Dispatch enriched tickets to Claude Code or Codex straight from Jira and watch the resulting PR, AI review, and status updates flow back into the original issue.
Jira is where roadmaps, sprints, and customer commitments already live for most teams. Connecting it to AI Expedite means agents work the same backlog your humans do — no parallel queue, no copy-paste between tools, no drift between what the PM sees and what the agent ships.
We connect through Jira's OAuth 2.0 (3LO) flow and store a workspace-scoped token. AI Expedite reads projects, boards, sprints, and issues, and writes comments, transitions, and linked-PR fields back to Jira. Permissions follow the Jira account that authorized the connection — agents can only act on the projects that account already has access to.
When a ticket arrives without acceptance criteria, AI Expedite drafts them from the codebase, the issue's history, and any linked documents. The draft lands as a comment for a human to approve. Once approved, the enriched ticket is the canonical brief — agents read it, plan the implementation, and post status updates back to the same issue.
Every action AI Expedite takes against Jira is logged in the workspace audit trail with the originating agent, the user that approved the action, and the resulting Jira API response. Tokens are revocable at any time from the workspace settings, and webhook signatures are verified on every inbound event.
Jira Cloud is supported via OAuth 2.0 (3LO) today. Jira Server / Data Center support is on the roadmap — reach out if your team needs it sooner.
Status transitions are gated by per-workspace automation rules. By default agents post status comments and propose transitions; the actual transition is applied only when a human approves or when an admin opts into auto-transition.
AI-drafted ticket comments are clearly labeled and stored as drafts. Rejecting a draft removes it from the ticket and feeds the rejection back to the agent so it can revise without restarting the workflow.
Bring Jira into your AI coding agent workflow.