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Jira Service Management Automation

End-to-end pattern for Slack → Jira ticket intake, auto‑triage, SLA routing, and self‑service knowledge with Confluence + ChatGPT.

🧰 Overview

This repo demonstrates how to reduce repetitive tickets and speed up IT responses by connecting Slack forms, Jira Automation rules, and a searchable KB.

⚙️ Implementation Highlights

  • Slack forms (or /slash commands) call a webhook → create Jira issues
  • Jira Automation sets priority, assigns groups, and posts status messages
  • SLA policies by request type, with operational dashboards
  • Confluence KB articles recommended by category (optionally ChatGPT‑assisted)

🏗️ Structure

/scripts/
  slack_to_jira_webhook.py   # receives Slack payloads → Jira REST
  kb_recommend.py            # suggests KB based on labels
/docs/
  workflows/*.png            # diagrams
  automation/*.json          # export of JSM rules
/examples/
  slack_payload.json
  jira_issue_example.json

🚀 Quick Start

python ./scripts/slack_to_jira_webhook.py --port 8080 --dry-run
# Test with: curl -X POST http://localhost:8080/hook -d @examples/slack_payload.json -H "Content-Type: application/json"

📈 Results (typical)

  • ~40% reduction in repetitive “how do I” tickets
  • Faster SLA response + clearer communication in Slack
  • Better reporting for weekly ops reviews

🔐 Notes

  • Store secrets (Jira token, Slack signing secret) in env vars or a secret manager
  • Redact PII before sharing payload examples

🛣️ Roadmap

  • MS Teams intake option
  • Form validation + adaptive cards
  • JSM Assets integration for device requests

🧠 Skills & Tools

Jira Service Management Slack API Automation Confluence ChatGPT

📝 License

MIT — see LICENSE.


License Last commit

Artifacts

  • /docs/ step-by-step with screenshots
  • /scripts/ repeatable automation
  • /dashboards/ sample JSON/PBIX (if relevant)
  • /templates/ redacted policies/SOPs

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