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Project 02

AI IT Help-Desk Incident Triage Agent

An AI-assisted application that classifies support tickets, creates structured incident summaries, and recommends practical routing and next steps.

  • Cloudflare Workers
  • Cloudflare Pages
  • Structured AI responses
  • JavaScript
Synthetic IT help-desk interface showing a support ticket and an AI-assisted triage assessment for human review.
Synthetic demo interface · no private data

01 / Overview

What it does

This AI-assisted help-desk application explores how structured AI output can support consistent incident triage. It analyzes a submitted ticket and returns an organized assessment for a support workflow.

02 / Context

Problem

Incoming support tickets often vary in detail and urgency. Early classification can take time, and inconsistent summaries make routing and escalation harder.

Solution

The application guides an AI model to return structured fields for category, severity, priority, summary, support-team recommendation, and suggested next actions.

03 / Capabilities

Features

  • Accepts IT support ticket text
  • Classifies category, severity, and priority
  • Generates concise incident summaries
  • Recommends an appropriate support team
  • Suggests troubleshooting or escalation steps
  • Recognizes common security-related incidents

04 / System design

Architecture

01Support Ticket
02Cloudflare Pages
03Cloudflare Worker
04Structured AI Workflow
05Triage ResponseCategory · Severity · Priority · Next steps

05 / Reflection

What I learned

  • Designing predictable structured AI responses
  • Mapping IT and security concepts into a triage workflow
  • Testing classifications with varied ticket examples
  • Presenting AI output without overstating certainty

Engineering considerations

  • Inputs are treated as untrusted text.
  • AI recommendations are guidance for review, not automatic incident resolution.
  • The project does not claim enterprise production use.

06 / Next steps

Future improvements

  • Add a larger test set for category consistency
  • Introduce confidence-aware review states
  • Add optional ticket-system integration
  • Expand accessibility and error-state testing