지원 티켓 트라이어지 및 해결 자동화

• •OpenAI API Key

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        "content": "## 2. Automate Triaging of Ticket\n[Read more about the Basic LLM node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm)\n\nNew tickets always need to be properly labelled and prioritised but it's not always possible to get to update all incoming tickets if you're light on hands. Using an AI is a great use-case for triaging of tickets as its contextual understanding helps automates this step."
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        "content": "## 3. Attempt to Resolve Ticket Using Previously Resolved Issues\n[Learn more about the JIRA node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.jira)\n\nThere are a number of approaches to also automate issue resolution. Here, we can search for similar tickets in the \"Done\" or resolved state and using the accepted answers of those tickets, provide context for an AI agent to suggest some ideas back to the user - best case, the fix is found and worst case, the user can add more debugging information through failed attempts."
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        "content": "## 4. Suggest a Resolution via Comment\n[Learn more about the JIRA node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.jira)\n\nFinally, we provide the context of past resolved tickets for the agent to suggest a few resolution ideas back to the user. Be sure to format the answer to match your company tone of voice as without, AI may sound quite technical and robotic!"
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        "content": "## Try It Out!\n### This n8n template automates triaging of newly opened support tickets and issue resolution via JIRA.\n\nIf your organisation deals with a large number of support requests daily, automating triaging is a great use-case for introducing AI to your support teams. Extending the idea, we can also get AI to give a first attempt at resolving the issue intelligently.\n\n### How it works\n* A scheduled trigger picks up newly opened JIRA support tickets from the queue and discards any seen before.\n* An AI agent analyses the open ticket to add labels, priority on the seriousness of the issue and simplifies the description for better readability and understanding for human support.\n* Next, the agent attempts to address and resolve the issue by finding similar issues (by tags) which have been resolved.\n* Each similar issue has its comments analysed and summarised to identify the actual resolution and facts.\n* These summarises are then used as context for the AI agent to suggest a fix to the open ticket.\n\n### How to use\n* Simply connect your JIRA instance to the workflow and activate to start watching for open tickets. Depending on frequency, you may need to increase for decrease the intervals.\n* Define labels to use in the agent's system prompt.\n* Restrict to certain projects or issue types to suit your organisation.\n\n### Requirements\n* JIRA for issue management and support portal\n* OpenAI for LLM\n\n### Customising this workflow\n* Not using JIRA? Try swapping out the nodes for Linear or your issue management system of choice.\n* Try a different approach for issue resolution. You might want to try RAG approach where a knowledge base is used.\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\n\nHappy Hacking!"
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