Cyber2Tech

From inboxto automated task.

Product
SmartMail Orchestration
Stack
OpenAI GPT · Python · React
Status
Completed
Briefly

Incoming email was read and sorted by hand; urgent messages sometimes got lost in the pile. We built SmartMail Orchestration as a layer that reads every email with GPT, classifies it by category, priority and required action, then opens a task or notifies the right system through a webhook.

Problem
Email read by hand, sometimes lost
Approach
GPT classification + task/webhook
01Problem

Every email was read and sorted by hand.

Requests landing in the inbox were read and sorted one by one; urgent ones got lost among the rest.

representative flow · draft
02Constraints

Three constraints shaped the design.

K1

A wrong classification has to stand out

If a category or priority is assigned incorrectly, an urgent request must not sit silently in the background; a low-confidence result needs to be visible.

K2

Spam has to be filtered safely

Spam filtering can't be so aggressive that it drops a genuine request.

K3

Every target system expects a different shape

Opening a task and triggering a webhook each need a different data shape depending on the connected system; the integration can't fit one single pattern.

03 — Approach

GPT reads it, then routes it correctly.

Incoming email goes through GPT-based content parsing, which determines category, priority and content type. Based on the result, the relevant task opens or a webhook notifies the target system; spam is kept separate.

  1. 01Incoming emailcompany inbox
  2. 02GPT classificationcategory · priority
  3. 03Task / webhookto the right system
  4. 04Workflow triggeredspam separated
email-classification.jsonrepresentative
{
  "email_id": "SM-2026-018204",
  "category": "support",
  "priority": "high",
  "action": "open_task"
}
04Screens

Priority should be visible at a glance.

Incoming emails listed by category and priority.
Shows which email triggered which task or webhook.
Next case
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