METALLURGICAL INTELLIGENCE REVIEW™

DEFUSING THE TRAMP ELEMENT TIME BOMB How AI & Machine Learning Solve the EAF Scrap Quality Crisis AI-driven scrap intelligence converts 'sustainable' feedstock risk into predictable, sellable tonnes — protecting yield, EBITDA, and global export access in the EAF era Domain: Metallurgy | EAF | AI/ML Audience: C-Suite | Plant Heads | Engineers Impact: EBITDA | Yield | ESG | CBAM 01 EXECUTIVE SUMMARY — The Boardroom Bottom Line Every year, billions of dollars in EBITDA

GLOBAL METALLURGICAL INTELLIGENCE SERIES | SUSTAINABILITY EDITION Why Yield Optimization Is the Most Powerful Sustainability Strategy The Zero-CapEx Path to Carbon Reduction — How Driving Final Product Yield to 96% Slashes CO₂/Tonne, Turns CBAM Compliance into Competitive Advantage, and Delivers Immediate EBITDA Expansion SECTION 1 | EXECUTIVE SUMMARY The Boardroom Bottom Line — In 30 Seconds THE FIVE TRUTHS EVERY BOARD MUST CONFRONT TODAY DIMENSION THE INCONVENIEN

Stop paying to detect defects. Start investing in process capability that prevents them. SECTION 1 Executive Summary THE BOARDROOM BOTTOM LINE — IN 30 SECONDS KEY DIMENSION THE REALITY The Business Problem Plants spend 15–40% of revenue on downstream testing & sorting while Cpk hovers at ~1.04 — inspecting problems that should never occur The Root Cause Quality is treated as a detection activity, not a capability objective. 'Test-and-sort' thinking drives a continuous

⬡ METALLURGICAL INTELLIGENCE ⬡ Why Most Steel Plants Fail Digital Transformation Initiatives — And How Metallurgical⬡ METALLURGICAL INTELLIGENCE ⬡ Why Most Steel Plants Fail Digital Transformation Initiatives — And How Metallurgical Leaders Can Fix It Industry 4.0 investments in steel are crossing $4.7 billion globally — yet 7 out of 10 digital transformation initiatives in steel plants fail before delivering measurable ROI. Leaders Can Fix It Industry 4.0 investments in