Automate Customer Support Issue Resolution using AI Text Classifier

This n8n template is designed to assist and improve customer support team member capacity by automating the resolution of long-lived and forgotten JIRA issues. How it works Schedule Trigger runs daily to check for long-lived unresolved issues and imports them into the workflow. Each Issue is handled as a separate subworkflow by using an execute workflow node. This allows parallel processing. A report is generated from the issue using its comment history allowing the issue to be classified by AI - determining the state and progress of the issue. If determined to be resolved, sentiment analysis is performed to track customer satisfaction. If negative, a slack message is sent to escalate, other

Help me set up the n8n workflow "Automate Customer Support Issue Resolution using AI Text Classifier" (https://n8n.io/workflows/2468). It uses: Slack, Jira Software, AI Agent, Basic LLM Chain, OpenAI Chat Model, Structured Output Parser, Text Classifier, Sentiment Analysis. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.