This n8n workflow automates the process of monitoring a support email inbox, analyzing new messages, and creating structured issues in JIRA. It starts with a scheduled trigger that periodically fetches recent support emails from Outlook. The workflow filters out duplicates to ensure each email is processed only once. The email content is then converted from HTML to markdown for better readability.
Next, the core of the workflow involves an OpenAI-powered language model that takes the email details and generates a structured summary, labels, and priority classification for each support request. The AI also produces a concise title and description of the issue, removing emotional or redundant information while emphasizing factual details.
Finally, the workflow creates a new issue in JIRA with the AI-generated details, facilitating quick triage and efficient issue tracking. Additional sticky notes with instructions and explanations are included within the workflow for reference.
This automation is ideal for support teams handling a high volume of incoming emails, helping to streamline ticket creation, prioritize work efficiently, and maintain a clear overview of support requests. It saves time, reduces manual effort, and ensures consistent issue logging.
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