The Problem

A 90-user logistics company was running their entire IT support operation through a single shared inbox and a help desk tool they weren't using correctly.

Every ticket — from 'my mouse isn't working' to 'the server is down' — landed in the same queue, sorted only by when it arrived. Critical issues sat next to low-priority requests. Technicians triaged manually at the start of each shift, wasting 45+ minutes every morning just deciding what to work on.

Mean time to resolution was climbing. User satisfaction was dropping. The IT team of two was burning out.

What We Built

We built an AI triage layer that sits between ticket submission and the help desk queue, using their existing Freshdesk instance as the backbone.

The system:

• Classifies every incoming ticket across 6 priority tiers using NLP
• Auto-routes based on category — hardware, software, access, security, network, general
• Flags P1/P2 tickets and triggers immediate Slack alert to on-call tech
• Suggests resolution steps based on historical ticket data
• Auto-closes known low-complexity tickets after verified resolution
• Generates weekly trend reports — what's breaking, what's recurring, where to invest

No new help desk platform. No expensive ITSM overhaul. We made what they had actually work.

The Results

• 52% reduction in average ticket resolution time
• Manual triage eliminated — technicians start each shift on actual work
• P1 incidents acknowledged in under 3 minutes on average
• Recurring issues identified and resolved at root cause — not patched repeatedly
• User satisfaction scores up 34% in 60 days
• IT team went from reactive firefighting to structured, manageable operations

Same team. Same tools. Different outcomes — because the system finally worked with them instead of against them.