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.
Workflows fire when something happens in Jira.
- Comment CreatedWebhook
- New IssueWebhook
- Issue DeletedWebhook
- Issue UpdatedWebhook
- Sprint ClosedWebhook
Workflows do something in OpenAI, instantly.
- Analyze ImageAPI
- Chat CompletionAPI
- Chat with ToolsAPI
- Create BatchAPI
- Create EmbeddingAPI
- Create Image (DALL-E)API
Pick the way that fits your stack.
Pair pages are mirrored. Each direction gets its own dedicated page.
When something happens in Jira, do it in OpenAI.
6 Jira triggers wired to 16 OpenAI actions. Most-used pairing: Comment Created → Analyze Image.
Or fire it the other way around.
0 OpenAI triggers wired to 17 Jira actions downstream.
- Use any trigger in the catalog as the upstream.
Common Jira → OpenAI workflows.
Pick a pairing to set it up in two minutes. Each one is a fully editable recipe.
Fires when a comment is added to a Jira issue. Used to mirror engineering discussion to Slack, feed AI summaries, or notify external requesters.
Fires when a comment is added to a Jira issue. Used to mirror engineering discussion to Slack, feed AI summaries, or notify external requesters.
Fires when a comment is added to a Jira issue. Used to mirror engineering discussion to Slack, feed AI summaries, or notify external requesters.
Fires when a comment is added to a Jira issue. Used to mirror engineering discussion to Slack, feed AI summaries, or notify external requesters.
Fires when a new issue is created in Jira. The standard inbound hook for routing, enrichment, auto-labeling, and SLA-aware notifications.
Fires when a new issue is created in Jira. The standard inbound hook for routing, enrichment, auto-labeling, and SLA-aware notifications.
Fires when a new issue is created in Jira. The standard inbound hook for routing, enrichment, auto-labeling, and SLA-aware notifications.
Fires when a new issue is created in Jira. The standard inbound hook for routing, enrichment, auto-labeling, and SLA-aware notifications.
Fires when an issue is deleted in Jira. Useful for audit/compliance logs and for tearing down related records in other systems.
Connect Jira and OpenAI in five steps.
No code, no glue, no half-day setup. Each step is one click.
- 1ConnectAuthorize Jira and OpenAI
Open Tiny Command, authorize Jira and OpenAI once each. Both connections are available to every workflow on your account.
- 2TriggerPick a Jira trigger
Drop the Jira → Comment Created trigger onto the canvas. Tiny Command auto-registers the webhook.
POST /v1/webhooks/jira.trigger-comment-created - 3TransformAdd a filter or AI step
Optionally add a Filter node ("subject contains URGENT") or an AI step ("classify intent") between trigger and action.
- 4ActionAdd the OpenAI action
Drop the OpenAI → Analyze Image action below it. Map fields from the Jira payload into the OpenAI inputs.
openai.analyze-image - 5PublishPublish and forget
Hit Publish. Tiny Command runs it in production from second one. Watch the run-log fill up.
Questions about Jira + OpenAI.
How does GPT triage new Jira issues?
Can GPT detect duplicate Jira issues?
How do I generate Jira sprint summaries with GPT?
Can GPT write acceptance criteria from a Jira description?
How do I keep GPT grounded in our team conventions?
Which model for Jira automation?
Other apps that pair well with Jira.
Wire Jira to OpenAI in 2 minutes.
Free tier available. No credit card. No onboarding call.
