Jira is the industry standard for software development project management, used by agile teams worldwide for issue tracking, sprint planning, and release management. Our Jira integrations connect your development workflow with business systems - CRM data informs prioritization, customer tickets flow to development backlogs, and release information syncs to customer communication. Bridge the gap between development and business teams.
Jira is where developers work. Our integrations bring business context to development without forcing developers to use business tools.
Jira's flexible workflow engine adapts to any process. Our integrations trigger workflow transitions and create issues based on business events.
Connect sprint progress with business stakeholders. Automated reports, release notifications, and roadmap sync keep everyone informed.
Connect Jira with your entire business ecosystem
Customer support tickets escalate to Jira development issues. Bug reports, feature requests, and technical issues flow to dev backlog with customer context preserved.
Connect Jira with Salesforce or HubSpot. Customer requests become backlog items, deal requirements inform feature prioritization, and release dates sync for sales communication.
Connect Jira with GitHub, GitLab, or Bitbucket. Commits reference issues, pull requests update status, and deployments mark releases automatically.
Jira notifications in team channels. New issues, status changes, and release updates post where your team communicates. Create issues from chat messages.
Plus 100+ more systems - if you use it, we can integrate it with Jira
We securely connect Jira with your other business applications using official APIs and best practices.
Configure how data flows between systems - which fields map where, what triggers sync, and business rules.
Once configured, data flows automatically 24/7. Monitor with dashboards and alerts for complete peace of mind.
Here's how data flows between Jira and your connected systems:
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Support Ticket │ │ Jira │ │ Development │
│ or CRM Request │────▶│ Backlog │────▶│ CI/CD │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│ │ │
│ ▼ │
│ ┌──────────────────┐ │
│ │ Issue Workflow │ │
│ │ • To Do │ │
│ │ • In Progress │ │
│ │ • Done │ │
│ └──────────────────┘ │
│ │ │
▼ ▼ ▼
┌─────────┐ ┌─────────────┐ ┌──────────┐
│Customer │ │ Status │ │ Release │
│ Request │ │ Updates │ │ Deployed │
└─────────┘ └─────────────┘ └──────────┘
Example: Support Ticket to Release Flow
════════════════════════════════════════
1. Customer reports bug via Zendesk ticket
2. Support escalates - creates Jira issue
3. Customer context links to Jira issue
4. Issue triaged and added to sprint
5. Developer assigns and starts work
6. PR created - links to Jira issue
7. CI runs tests - status updates in Jira
8. PR merged - issue transitions to Done
9. Release deployed - version tagged
10. Zendesk ticket auto-updated with fix info| Source Field | Target Field | Notes |
|---|---|---|
| Zendesk.Ticket.subject | Jira.Issue.summary | Issue title |
| Zendesk.Ticket.description | Jira.Issue.description | Issue details |
| Zendesk.Ticket.priority | Jira.Issue.priority | Priority mapping |
| Zendesk.Ticket.id | Jira.Issue.customfield_zendesk | Cross-reference |
| Jira.Issue.status | Zendesk.Ticket.customfield_status | Dev status |
| Jira.Issue.fixVersion | Zendesk.Ticket.tags | Release version |
| GitHub.PR.url | Jira.Issue.customfield_pr | Pull request link |
| GitHub.Commit.message | Jira.Issue.comment | Commit activity |
| Salesforce.Opportunity.id | Jira.Issue.customfield_deal | Sales context |
| Jira.Issue.storyPoints | Analytics.Effort.estimate | Effort tracking |
Sample data structure when syncing from Jira:
// Jira - Create Issue from Zendesk
POST https://your-domain.atlassian.net/rest/api/3/issue
Authorization: Basic {base64_credentials}
Content-Type: application/json
{
"fields": {
"project": {
"key": "DEV"
},
"summary": "Bug: Login page not loading on Safari",
"description": {
"type": "doc",
"version": 1,
"content": [
{
"type": "paragraph",
"content": [
{
"type": "text",
"text": "Customer reported: The login page shows a blank screen on Safari 17.x\n\nZendesk Ticket: #12345\nCustomer: Acme Corp (Enterprise)\nReported: 2024-01-15\n\nSteps to reproduce:\n1. Open Safari 17.x\n2. Navigate to login page\n3. Page remains blank"
}
]
}
]
},
"issuetype": {
"name": "Bug"
},
"priority": {
"name": "High"
},
"labels": ["zendesk", "safari", "login"],
"customfield_10001": "ZD-12345",
"customfield_10002": "acme-corp"
}
}
// Jira - Webhook for Issue Updated
POST /webhook/jira/issue-updated
Content-Type: application/json
{
"webhookEvent": "jira:issue_updated",
"issue": {
"id": "10001",
"key": "DEV-123",
"fields": {
"summary": "Bug: Login page not loading on Safari",
"status": {
"name": "Done",
"statusCategory": {
"key": "done"
}
},
"resolution": {
"name": "Fixed"
},
"fixVersions": [
{
"name": "2.3.1",
"released": true,
"releaseDate": "2024-01-20"
}
],
"customfield_10001": "ZD-12345"
}
},
"changelog": {
"items": [
{
"field": "status",
"fromString": "In Progress",
"toString": "Done"
}
]
}
}Beyond system-to-system connections, we build custom AI solutions and interfaces powered by Jira data.
AI analyzes incoming issues to suggest priority, component, and assignee based on content and historical patterns. Reduces manual triage effort and improves routing accuracy.
Machine learning identifies potential duplicate issues before creation. Links related issues and suggests merging to reduce backlog clutter.
AI predicts story points based on issue description, historical data, and similar completed issues. Helps sprint planning with data-driven estimates.
AI analyzes issues in a release to predict risk level. Considers complexity, dependencies, and team velocity to flag potential delays.
Before starting your Jira integration, ensure you have:
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