ITSM Ticket Triage and Resolution Agent
An agent classifies ITSM tickets by category and severity, resolves routine requests under guardrails, and routes the rest with context attached.
The problem
Every ITSM ticket needs the same first pass: what is it, how bad is it, who owns it. That pass is manual, slow, and inconsistent across shifts. Routine requests clog the queue while high-severity incidents wait for a human to notice them.
How it runs on Neblex
Tickets arrive from ServiceNow through webhooks and flow to the agent as one judgment step in a deterministic pipeline. The agent classifies category and severity, then acts through connectors: it resolves routine requests you have explicitly allowed, updates ServiceNow fields, files linked Jira issues for engineering-owned problems, and posts urgent items to Slack.
You decide what counts as routine. Resolution actions outside that list require human approval, and reviewers see the ticket, the classification, and the agent reasoning in a task inbox with SLA timers and escalation. Tickets the agent cannot classify confidently route onward with all gathered context attached, so the human who picks them up starts warm.
The deterministic engine around the agent handles retries, branching, and replay from the exact failed step, so a connector hiccup never loses a ticket. Every classification and resolution is logged to a tamper-evident hash-chained audit trail.
Step by step
Ticket triggers the flow
A ServiceNow webhook starts triage the moment a ticket is created.
Agent classifies
Category and severity are judged from the ticket text and any linked context.
Routine requests resolve
Requests on your approved list are handled end to end and closed in ServiceNow.
Engineering issues sync to Jira
Tickets that need engineering get a linked Jira issue with full context.
Urgent items alert in Slack
High-severity classifications notify the on-call channel right away.
Humans approve the rest
Everything else routes to a reviewer with reasoning attached, tracked with SLA timers and escalation.
Platform capabilities used
- Agent inside a deterministic flow
- ServiceNow, Jira, and Slack connectors
- Human-in-the-loop approval for resolutions
- Retries and replay from the failed step
- Hash-chained audit trail
- Task inbox with SLA timers
Common questions
Which tickets can the agent resolve on its own?
Only the request types you explicitly allow. Everything outside that list requires human approval before the agent acts, and every resolution is logged to the tamper-evident audit trail either way.
What if the agent misclassifies a ticket?
Severity thresholds can force human review, and reviewers can reject a proposed action from the task inbox. The event-sourced history records exactly what the agent saw and did, so misclassifications can be reviewed and the rules tightened.
Does this replace our ITSM tool?
No. It works through the ServiceNow and Jira connectors, so tickets, fields, and workflows stay in the systems you already run. Neblex adds the judgment layer and the automation around them.
Related use cases
ITSM Automation
Automate the ServiceNow ticket lifecycle: intake from any channel, categorization, SLA-based routing, Jira handoff, and resolution updates in Slack.
IT & DevOpsIncident-to-Ticket Routing
Turn Datadog alerts into deduplicated Jira tickets, page the right on-call engineer through PagerDuty, and keep the incident channel updated.
AgenticIT Access Review Agent
An agent reviews access requests against role and policy, approves routine ones under set guardrails, and routes ambiguous cases to a human with reasoning.
Want this running on your stack?
Neblex Integration Fabric is in beta: full platform, free while in beta. Bring this workflow and we will map it to your systems.