The Problem

Maintenance teams relied on 5–7 disconnected legacy tools, forcing engineers to manually reconcile data during high-pressure AOG events. Time was lost interpreting data instead of resolving failures.

My Focus

Enhance an already designed intelligence system to reduce cognitive load at the moment of decision - prioritizing clarity, confidence, and speed over data volume.

Key Decisions

• Unified fragmented data into role-based, task-specific workflows

• Prioritized signal strength over data completeness

• Standardized interaction patterns to scale across multiple tools

• Designed explainable predictive insights to build trust

The System

A modular but consistent suite including:

• Repeaters - recurring fault patterns

• AOG & AHM - rapid root-cause resolution

• PHM - predictive health insights

• FlightSense® & Portals - unified access layer

Impact

• ↓ AOG events: up to 30%

• ↓ troubleshooting time: 40-50%

• ↓ return-to-service time: ~25%

Teams reported faster decisions, higher confidence, and reduced manual cross-checking.

Why This Matters

This project demonstrates my approach to complex, data-heavy systems: grounding design decisions in real operational constraints and scaling clarity across products.