Posts · #ecommerce #support #ai #automation #workflow
Customer Support AI Triage (Fast + Safe)
A support triage map with queue rules, risk triggers, and human handoff points to reduce response time without losing quality.
Customer Support AI Triage (Fast + Safe)
Goal: reduce first-response time while preventing unsafe automated decisions.
Triage map
Queue A — Auto-draft + agent review
Use for routine, low-risk tickets:
- shipping status
- basic return policy clarifications
- product usage questions
AI output: classification + 3-bullet reply draft + required fields.
Queue B — Human-first with AI assist
Use for moderate complexity:
- replacement requests with missing details
- partial refund discussions
- repeated order-change requests
AI output: case summary + missing-info checklist.
Queue C — Escalation required
Never auto-reply when you detect:
- payment disputes / chargeback language
- legal or regulatory claims
- threatening language or fraud indicators
- high-value VIP orders with reputational risk
AI output: escalation packet only.
Required extraction fields
Capture these consistently before routing:
- ORDER_ID
- SKU or product name
- ISSUE_TYPE
- COUNTRY/region
- order value band
Missing two or more fields → hold in review queue.
5-step implementation checklist
- Define queue rules and escalation keywords.
- Build/validate classifier labels on recent tickets.
- Create reply templates per queue (with policy-safe language).
- Pilot on one queue for 7 days with human approval.
- Track SLA + quality metrics, then expand.
Metrics that matter
- first-response time
- reopen rate within 72 hours
- escalation accuracy
- refund/error incidents caused by wrong routing
Next step
Pilot Queue A only, review 100 tickets manually, then decide whether Queue B automation is safe enough to expand.