Automated Ticket Summary with AI Enhancement

This n8n workflow automates the process of handling new support tickets from HaloPSA by integrating AI-powered analysis and generating summarized notes for effective support management. The workflow begins with a webhook trigger that receives ticket data from HaloPSA, with an optional guard node to filter tickets based on team. It extracts key ticket details such as ID, subject, and description, then constructs a prompt for an AI language model to analyze the ticket. The AI model (Google Gemini or any other LLM) provides a structured JSON with a summary, next steps, troubleshooting suggestions, and system actions. This output is parsed and formatted into a branded, HTML-styled note summarizing the ticket and recommended actions. Finally, the workflow wraps this note into a payload and sends it as a private note via HaloPSA’s HTTP API, ensuring support teams have well-organized, AI-enhanced ticket insights for faster resolution. This workflow is ideal for MSPs and support teams seeking automation in ticket management, leveraging AI for quicker diagnostics and improved documentation.