Automated ticket triage for HaloPSA with Gemini AI summary generation
Transform your HaloPSA support queue by letting Gemini AI automatically analyze and summarize new tickets as they arrive. This workflow generates structured private notes with key details and troubleshooting steps, giving engineers an immediate head start on every case. It’s a powerful way for MSPs to reduce triage overhead and ensure critical information is always front and center.
Run this with your team's AIWhat This Recipe Does
Managing a high volume of support tickets often leads to information overload and delayed response times. This automation bridges the gap between raw data and actionable insights by automatically generating concise AI summaries for every new ticket created in HaloPSA. By distilling complex user issues and technical logs into clear, readable overviews, your support team can immediately understand the core problem without digging through lengthy history or repetitive notes. This leads to faster triage, more accurate ticket routing, and a significant reduction in the time spent on initial research. For IT service providers and internal help desks, this tool ensures that high-priority issues are identified instantly, improving service level agreement compliance and overall customer satisfaction. By removing the manual burden of synthesis, your technicians can focus on resolution rather than documentation, driving operational efficiency across your entire support department.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
Google-gemini, Http connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Google-gemini and Http once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Support Managers use this to quickly audit ticket queues and understand the nature of incoming requests without reading every individual thread.
- IT Technicians use the AI summaries to get up to speed on complex issues instantly, allowing them to begin troubleshooting immediately upon ticket assignment.
- Customer Success Leads use these summaries to monitor high-priority accounts and ensure that recurring issues are being addressed with the right context.
Frequently Asked Questions
Do I need to write my own AI prompts for this to work?
No, the automation comes with pre-configured logic to analyze ticket data, though you can easily adjust the summary style to match your team's specific needs.
Can this handle tickets with long descriptions or multiple attachments?
Yes, the AI is designed to process extensive ticket data and extract the most relevant information to create a focused summary.
Does this require a specific version of HaloPSA?
This automation works with any HaloPSA instance that supports API access and webhooks for real-time data transfer.
Will the summary be visible directly within the HaloPSA interface?
The automation can be configured to post the summary back into a private note or a custom field within the original HaloPSA ticket for easy access.
Coming from n8n?
This recipe uses nodes like StickyNote, Webhook, Code, Langchain.agent and 2 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
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Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork