Jira + UAIO

Jira Tickets That Fix Themselves.

Create a Jira Automation rule that sends incident tickets to the iTechSmart UAIO API. Every ticket gets classified, remediated, and resolved with a complete post-mortem — before anyone picks it up from the backlog.

See How It WorksView Code
10 min
Setup Time
0.4s
Classification Time
0.6h
Mean Time to Remediate
100%
Post-Mortem Ready

Four Steps from Ticket to Resolution

01

Jira Ticket Created

An incident ticket is created in Jira Software or Jira Service Management. Manual creation, API, or incoming from any monitoring tool — the trigger is the same.

02

Automation Rule Fires

A Jira Automation rule matches the new ticket by issue type, label, or project and sends a web request to the iTechSmart UAIO classify endpoint with the full ticket payload.

03

Classify + Remediate

UAIO classifies the incident in under 400ms, identifies the root cause, and executes the matching remediation runbook. No developer in the loop.

04

Resolve with Proof

The Jira ticket is transitioned to Done via the API. A comment is added with the full post-mortem: root cause, remediation steps, terminal output, and Bitcoin-anchored proof-of-fix.

Jira Ticket
Automation Rule
Remediate
Resolve + Proof

Jira Automation Rule

Create this automation rule in Jira under Project Settings → Automation. The Send Web Request action sends the ticket payload to UAIO for classification and remediation.

JSON · Jira Automation
// Jira Automation Rule — Send Web Request to iTechSmart UAIO
// Configure at: Jira > Project Settings > Automation > Create Rule

// TRIGGER:
//   Issue Created
//   + Condition: Issue Type = "Incident" OR Label = "auto-remediate"

// ACTION: Send Web Request
{
  "method": "POST",
  "url": "https://api.itechsmart.dev/v1/classify",
  "headers": {
    "Authorization": "Bearer YOUR_ITECHSMART_API_KEY",
    "Content-Type": "application/json"
  },
  "body": {
    "source": "jira",
    "ticket_id": "{{issue.key}}",
    "project": "{{issue.project.key}}",
    "summary": "{{issue.summary}}",
    "description": "{{issue.description}}",
    "priority": "{{issue.priority.name}}",
    "issue_type": "{{issue.issueType.name}}",
    "labels": "{{issue.labels}}",
    "reporter": "{{issue.reporter.displayName}}",
    "created": "{{issue.created}}",
    "components": "{{issue.components.name}}",
    "custom_fields": {
      "environment": "{{issue.customfield_10100}}",
      "affected_service": "{{issue.customfield_10101}}"
    }
  }
}

// THEN: Add Comment with response
// "UAIO Classification: {{webResponse.body.classification}}
//  Confidence: {{webResponse.body.confidence}}
//  Root Cause: {{webResponse.body.root_cause}}
//  Proof: {{webResponse.body.proof_of_fix}}"

// THEN: Transition Issue to "Done" (if confidence >= 0.90)

UAIO Response with Post-Mortem

Every response includes a structured post-mortem: timeline, impact, root cause, and prevention recommendations. Dropped directly into your Jira ticket as a comment.

JSON · UAIO Response
# UAIO Response (0.4s):
{
  "classification": "deployment_rollback",
  "confidence": 0.95,
  "root_cause": "Faulty config in deploy #847 caused 502s on /api/users endpoint",
  "remediation_summary": "Rolled back to deploy #846, verified health checks pass",
  "actions_taken": [
    "Identified bad config diff between deploy #846 and #847",
    "Executed rollback to deploy #846 via CI/CD API",
    "Verified /api/users returns 200 with correct response",
    "Confirmed error rate dropped to 0% in monitoring"
  ],
  "proof_of_fix": "https://proof.itechsmart.dev/fix/jira-rb-4f2e",
  "bitcoin_anchor": "tx:9a4c2f...",
  "post_mortem": {
    "timeline": "14:23 deploy → 14:24 errors → 14:24 UAIO triggered → 14:24 rollback → 14:25 verified",
    "impact_duration": "47 seconds",
    "affected_users": 0,
    "prevention": "Add config schema validation to CI pipeline"
  }
}

Frequently Asked Questions

Does this work with Jira Software and Jira Service Management?

Yes, both. Jira Software project tickets and Jira Service Management request types both support Automation rules with the Send Web Request action. The integration works identically for both products. If your Jira instance can fire an automation rule, UAIO can handle it.

Can UAIO handle deployment-related tickets?

Yes. Deployment rollbacks, failed CI/CD pipelines, configuration drift, and infrastructure provisioning issues are all within UAIO's remediation scope. UAIO integrates with your CI/CD tools (GitHub Actions, GitLab CI, Jenkins) to execute rollbacks and redeploys as part of the remediation runbook.

How does this compare to ServiceNow integration?

The ServiceNow integration is built for enterprise ITSM workflows with CMDB enrichment, change management, and ITIL process compliance. The Jira integration is built for engineering teams who use Jira as their incident tracker and want fast, developer-friendly auto-remediation. Same UAIO engine, different workflow surface.

Does the resolved ticket include a full post-mortem?

Yes. Every auto-resolved ticket gets a structured comment with: root cause analysis, remediation timeline, actions taken with terminal output, before/after system state, impact assessment, and a Bitcoin-anchored proof-of-fix link. Your team gets a complete post-mortem without writing a single word.

Ready for Tickets That Resolve Themselves?

Connect Jira to iTechSmart UAIO in under 10 minutes. One automation rule, one API key. Your incident backlog starts shrinking immediately.

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