Omnichannel Inbox Triage: Classification, Routing, and SLAs

Start here

Overview

Customers do not care which channel they used—you still owe a coherent response. This guide covers normalization, triage models, and escalation.

Core concept

Definition

Triage automation ingests messages, identifies intent and entity (order, account), assigns priority, routes to queues, and tracks SLA timers.

Business impact

Why it matters

Untriaged inboxes hide revenue (sales) and churn risk (support). AI reduces sorting labor; workflows ensure nothing vanishes.

Practical model

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.

Implementation detail

Detailed breakdown

Confidence thresholds

Low confidence routes to a human triage pool with suggested labels.

In practice

Real-world example

A retailer unified marketplace messages and email—cutting duplicate responses and improving first-contact resolution.

Avoid these

Common mistakes

Overfitting intents too early—fragile models and angry teams.
No linkage to CRM object—agents lack account context.

Engineering layer

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)`.

Build patterns

Code examples

Thread key stability

Same customer across email aliases merges when domain matches.

TypeScript

export function threadKey({ channel, from, crmAccountId }) {
  if (crmAccountId) return `acct:${crmAccountId}`;
  return `${channel}:${from.toLowerCase()}`;
}

System view

System architecture

YAML

[Channel webhooks]
        → [Normalizer]
        → [Classifier: rules + optional LLM]
        → [Queue: tier + skill tags]
        → [Agent UI + macros]

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