Helpdesk Routing Integration Template

An integration template for connecting AI triage outputs to helpdesk queues, SLA policies, and escalation ownership maps.

Helpdesk Routing Integration Template cover image
Helpdesk Routing Integration Template inline image

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#

  1. Helpdesk API access and queue IDs.
  2. Intent taxonomy shared by support operations.
  3. SLA policy table by account tier.
  4. Escalation owner map by issue type.

Integration flow#

  1. Receive triage payload: intent, severity, confidence, and summary.
  2. Resolve routing target: map payload to queue and priority.
  3. Apply SLA metadata: set response and resolution deadlines.
  4. Assign owner and watcher groups: include backup owners.
  5. Post customer-safe draft context: keep internal notes separate.
  6. 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.