InboxPilot: Automatic Email Tagging
How One Operations Team Cut Email Triage Time by 73% with AI, Without Adding Headcount
The Problem
The operations team was processing more than 1,200 inbound emails per day across support and operations queues. During peak periods, manual tagging and routing added hours of delay before a single request was even assigned.
Manual Categorisation Work
Agents spent significant time tagging requests instead of resolving them.
Routing Delays
Incorrect or late tags sent requests to the wrong queue.
Inconsistent Priority Handling
Urgent emails were not always identified quickly enough.
Limited Reporting Clarity
Category performance was hard to measure due to inconsistent labels.
Our AI-Powered Solution
InboxPilot applies intent detection and policy-driven tagging to incoming emails, then routes each message to the appropriate workflow.
Intent Classification
Models classify inbound emails into operational categories with confidence thresholds.
Priority Detection
Identifies urgent requests from language cues and customer profile signals.
Routing Automation
Applies category tags and sends emails to team-specific queues automatically.
Human Override Controls
Agents can correct tags and feed changes back into tuning workflows.
Analytics Dashboard
Tracks category volume, response time, and accuracy trends by team.
Service Efficiency Gains
In the first two months, the operations team achieved:
Tag Accuracy
Stable classification quality across core intents
Faster Triage
Inbound requests reached the right queue much sooner
Less Manual Sorting
Agents focused more on resolution than categorisation
Always-On Processing
Automated intake handled after-hours demand
InboxPilot gave us control of a chaotic inbox. Tagging and routing are now mostly automatic, and our teams spend their time solving requests, not sorting them.
Ready to Transform Your Operations?
High-volume inbox causing triage delays? We've solved this before.