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Jira + OpenAI: AI inside engineering.

Use GPT-4o to triage Jira issues, summarize sprint progress, detect duplicates, or draft acceptance criteria. AI sits next to engineering workflow without disrupting it.

Trigger app
OpenAI as the trigger

Workflows fire when something happens in OpenAI.

  • OpenAI has no triggers yet. Use the catalog's universal Webhook trigger as the upstream.
Action app
Jira as the action

Workflows do something in Jira, instantly.

See all 17 actions →
Both directions

Pick the way that fits your stack.

Pair pages are mirrored. Each direction gets its own dedicated page.

OpenAIJira

When something happens in OpenAI, do it in Jira.

0 OpenAI triggers wired to 17 Jira actions.

    JiraOpenAI

    Or fire it the other way around.

    6 Jira triggers wired to 16 OpenAI actions downstream.

    See JiraOpenAI
    Popular pairings

    Common OpenAI → Jira workflows.

    Pick a pairing to set it up in two minutes. Each one is a fully editable recipe.

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    How it works

    Connect OpenAI and Jira in five steps.

    No code, no glue, no half-day setup. Each step is one click.

    1. 1
      Connect
      Authorize OpenAI and Jira

      Open Tiny Command, authorize OpenAI and Jira once each. Both connections are available to every workflow on your account.

    2. 2
      Trigger
      Pick a OpenAI trigger

      Drop the OpenAI → New event trigger onto the canvas. Tiny Command auto-registers the webhook.

      POST /v1/webhooks/openai.event
    3. 3
      Transform
      Add a filter or AI step

      Optionally add a Filter node ("subject contains URGENT") or an AI step ("classify intent") between trigger and action.

    4. 4
      Action
      Add the Jira action

      Drop the Jira → Add Comment action below it. Map fields from the OpenAI payload into the Jira inputs.

      jira.add-comment
    5. 5
      Publish
      Publish and forget

      Hit Publish. Tiny Command runs it in production from second one. Watch the run-log fill up.

    FAQ

    Questions about OpenAI + Jira.

    How does GPT triage new Jira issues?
    Jira Issue Created → OpenAI returns suggested issuetype, priority, components, assignee → Update Issue with the metadata + adds "AI-triaged" label.
    Can GPT detect duplicate Jira issues?
    Yes. On Issue Created, JQL-search recent issues. Pass candidates to GPT with "rate similarity 0-1". High-similarity matches get a "Duplicates" link + reasoning comment.
    How do I generate Jira sprint summaries with GPT?
    Jira Sprint Closed → fetch all sprint issues + resolutions → OpenAI generates stakeholder-facing summary grouped by epic → post to Confluence or Slack as sprint demo prep.
    Can GPT write acceptance criteria from a Jira description?
    Yes. Prompt: "Based on this issue, write 5-7 Gherkin acceptance criteria". Append to Jira description via Update Issue. Saves PM time on every backlog item.
    How do I keep GPT grounded in our team conventions?
    Include 2-3 examples of well-written issues from the team in the system prompt. GPT picks up tone, level of detail, and labeling style much better from examples than instructions.
    Which model for Jira automation?
    gpt-4o-mini for triage and label suggestions. gpt-4o for sprint summaries and acceptance criteria writing. o-series only when complex multi-step reasoning is needed.
    Related

    Other apps that pair well with OpenAI.


    Wire OpenAI to Jira in 2 minutes.

    Free tier available. No credit card. No onboarding call.