$1.96M+ Cost Avoidance: Controlled POC Methodology
Developed migration-adjusted controlled study framework that proved causality (not correlation) in AI performance gains. Customer-validated $1.2M cost avoidance at 55% accuracy; projected $1.96M+ at final 90%+ accuracy.
Client
Global Energy Utility
Category
Business & Analysis
Results
$1.96M+ projected cost avoidance
Overview
Developed migration-adjusted controlled study framework that proved causality (not correlation) in AI performance gains. Customer-validated $1.2M cost avoidance at 55% accuracy; projected $1.96M+ at final 90%+ accuracy.
The Transformation
Before: 60% accuracy with high supervisor escalations
After: 76% → 90%+ accuracy, $1.96M+ validated savings
Results
$1.96M+ projected cost avoidance
Related Service
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