User guide
AI Ticket Intelligence
Looking for what it does rather than how to use it? Read the AI Ticket Intelligence overview .
Ticket Intelligence triages every incoming ticket automatically and gives technicians analysis, similar-ticket search and response drafting on the ticket itself.
Concepts
| Concept | What it means |
|---|---|
| Auto-triage | Analysis that runs on ticket creation without anyone asking for it. |
| Analysis | The cached AI result on a ticket: category, priority + reasoning, summary, sentiment, urgency, business impact. |
| Freshness | Cached analysis is reused until the ticket is edited; then it re-runs. |
| Suggestion | A proposed category / priority / tag that a person accepts before it is applied. |
| Duplicate detection | Similarity search run while a ticket is being written, at a 0.75 threshold. |
| Deflection | Knowledge-base search offered to an end user as they describe a problem. |
Roles and permissions
power user — not organization administrator — because the copilot renders on the org portal’s ticket page without its own gate, and not MSP technician, which ranks above organization administrator and would remove the org portal’s copilot entirely.
Walkthrough — triage happens on its own
- A ticket is created in any portal.
- The analysis is written to the ticket’s AI fields.
- If the call is refused — for example the account is out of credits — the rejection is logged with its status.
There is no setting to turn this on; it is the default behaviour on creation. To re-run it deliberately, an automation rule can use the Run AI analysis action.
Walkthrough — working a ticket with the copilot
- Open
MSP → Tickets → <ticket>orOrg → Tickets → <ticket>. - The AI copilot panel shows the analysis. If the ticket has not changed since it was last analysed, this is served from cache and costs nothing.
- Open Similar tickets to see resolved tickets above 0.60 similarity, with their resolutions.
- Choose Generate response, pick an audience (technical, non-technical, executive) and a tone (professional, empathetic, urgent, instructional).
- Edit the draft, then send it as a normal comment.
Walkthrough — deflection while a user writes a ticket
- The user starts
Customer portal → Requests → New. - As they describe the problem, matching knowledge articles are offered.
- Classification runs on the text they typed and pre-fills category and priority.
Configuration
| Setting | Where | Effect if unset |
|---|---|---|
| Plan AI credit allowance | Plan tier | Free-tier floor applies |
| Queue AI confidence threshold | Queue settings | Defaults to 0.70. Below it, a classification is offered for review instead of auto-applied |
Troubleshooting
| Symptom | Cause |
|---|---|
404 on a ticket you can see in the UI | The ticket is outside the accounts you service. |
402 AI_CREDIT_LIMIT_EXCEEDED | The paying account is out of credits for the period. |
| Analysis re-runs every time the panel opens | The ticket is being modified between reads — the cache is keyed on the ticket’s own last change. |
503 on analyse | The model call failed; the ticket keeps its previous analysis. |
Limits and known behaviour
- The analysis writes to the ticket’s AI fields, not its real fields. Applying a suggestion to the ticket’s own category or priority is an explicit acceptance.
- The AI category vocabulary and the ticket form’s five-value category list are different sets.
- New tickets are embedded by a background sweep, not on creation, so similarity results lag ticket creation.