Problem this solves#
Support teams often classify tickets correctly but fail at system-level routing. This template bridges AI classification output with actual helpdesk queue assignment, escalation policies, and SLA timers.
Required components#
- Helpdesk API access and queue IDs.
- Intent taxonomy shared by support operations.
- SLA policy table by account tier.
- Escalation owner map by issue type.
Integration flow#
- Receive triage payload: intent, severity, confidence, and summary.
- Resolve routing target: map payload to queue and priority.
- Apply SLA metadata: set response and resolution deadlines.
- Assign owner and watcher groups: include backup owners.
- Post customer-safe draft context: keep internal notes separate.
- Log route decision: retain rationale and version trace.
Copy-ready integration template#
Trigger: New triage event is emitted.
Step 1: Validate event schema and confidence threshold.
Step 2: Map intent + severity -> queue_id + priority.
Step 3: Attach SLA due dates based on customer tier.
Step 4: Assign primary and backup escalation owners.
Step 5: Push ticket update and internal note.
Step 6: Emit decision log to observability sink.
Fallback:
- if confidence < threshold -> MANUAL_TRIAGE_QUEUE
- if API failure -> retry policy then alert support ops
Reliability guidance#
- Keep queue mapping tables versioned and editable without code deploy.
- Use confidence thresholds per intent to avoid risky auto-routing.
- Add periodic drift checks between expected and actual queue outcomes.
FAQ#
Should low-confidence tickets be auto-routed?#
No. Route them to manual triage and use those cases for taxonomy improvement.
What is the best escalation backup strategy?#
Assign backup owners by function, not individual, to avoid single-point failure.
How do we detect integration drift?#
Compare routing decisions against human overrides and SLA breaches weekly.
Related internal resources#
- Parent page: AI Agent Templates
- Sibling templates: Support Escalation Workflow Blueprint
- Sibling templates: Support Agent Quality Checklist
- Cross-playbook: AI Agent for Customer Service
- Cross-playbook: AI Agent Reviews Hub
- Cross-playbook: AI Agent Use Cases