Omnichannel Inbox Triage: Classification, Routing, and SLAs
Overview
Customers do not care which channel they used—you still owe a coherent response. This guide covers normalization, triage models, and escalation.
Quick definition
Inbox triage normalizes email/chat/SMS into a canonical `ConversationThread` with channel-specific adapters, then applies classification queues and SLA clocks.
Definition
Triage automation ingests messages, identifies intent and entity (order, account), assigns priority, routes to queues, and tracks SLA timers.
Why it matters
Untriaged inboxes hide revenue (sales) and churn risk (support). AI reduces sorting labor; workflows ensure nothing vanishes.
Core framework
Normalize to tickets
Every message becomes a ticket with channel metadata and dedup keys.
Intent taxonomy
Start with 10–20 intents; expand as data supports it.
Detailed breakdown
Confidence thresholds
Low confidence routes to a human triage pool with suggested labels.
Technical patterns
Adapter pattern per channel
- Each inbound maps to `{ thread_key, message_id, body_hash, received_at }`.
- Thread key = `customer_id` or hashed `(channel + external_address)`.
Code examples
Thread key stability
Same customer across email aliases merges when domain matches.
export function threadKey({ channel, from, crmAccountId }) {
if (crmAccountId) return `acct:${crmAccountId}`;
return `${channel}:${from.toLowerCase()}`;
}System architecture
[Channel webhooks]
→ [Normalizer]
→ [Classifier: rules + optional LLM]
→ [Queue: tier + skill tags]
→ [Agent UI + macros]Real-world example
A retailer unified marketplace messages and email—cutting duplicate responses and improving first-contact resolution.
Common mistakes
- Overfitting intents too early—fragile models and angry teams.
- No linkage to CRM object—agents lack account context.
Related topics
PrimeAxiom builds unified triage with CRM context—book an inbox assessment.