System 02 — Case Study
Support Logic Analyzer
Converts complex customer issues into structured, actionable resolution workflows.
Problem
Support teams handle the same categories of issue over and over, but the logic of how a ticket should be triaged and routed often lives in people's heads — inconsistent, hard to scale, and lost when someone leaves.
What I Built
An analyzer that takes incoming support content and works out what it's actually about — categorizing the issue, assessing it, and applying consistent triage logic so every ticket is handled the same considered way regardless of who's on shift.
Architecture / How It Works
Incoming tickets are processed through an AI analysis layer that classifies and interprets them, applying defined logic to determine handling. Consistency comes from the same rules running every time, rather than relying on individual judgment under load.
Outcome
Triage that's consistent and scalable, capturing the reasoning that usually walks out the door — so the team's collective know-how becomes a system, not tribal memory.
Tech Stack
Current Status
Working Prototype — Demo AvailableScreenshots


