$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
Result
$1.96M+ projected cost avoidance
Related package
AI Quick Win
$1.96Mprojected cost avoidance
$1.2Mvalidated by the customer at 55% accuracy
90%+target accuracy
Before60% accuracy with high supervisor escalations
After76% → 90%+ accuracy, $1.96M+ validated savings

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