AI Conversation Classifier

The problem

Agents start their shift to a queue that looks identical regardless of what's in it. Urgent issues sit next to spam. VIP customers wait behind simple FAQs. A compliance complaint and a billing question get the same first-response treatment. Manual triage happens inconsistently, whoever picks up the queue first, in whatever order they choose. The platform has all the data needed for intelligent routing. None of it is being used.

My solution

An AI layer that reads every incoming message before a human touches it. It classifies by topic, intent, urgency, language, sentiment, and customer tier, then applies the right tags, routes to the right group, and flags anything requiring immediate attention. Spam and junk are auto-closed. The pipeline plugs into your existing helpdesk. No migration, no downtime, no change to your current setup.

What's included

• Multi-dimensional classification: topic, intent, urgency, language, sentiment, customer tier
• Automatic spam and junk closure with configurable confidence threshold
• VIP detection and express routing to priority queue or named agent
• Tag application: every conversation leaves with the right labels for reporting
• Escalation rules: high-urgency tickets auto-escalated to supervisor group
• Connects to your existing platform, no migration or data move required
• Weekly classification report: volume by category, VIP response times, auto-close rate

Built with

Ideal for

Teams spending agent time on manual triage, missing urgent requests in a crowded queue, or unable to generate reliable volume-by-category reporting.

Platforms

Zendesk

Intercom

Freshdesk

Pricing