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What Traditional ERM Gets Right

Start From Strength — What ERM Does Brilliantly

The Five Structural Limitations

Limitation One — The Deterministic Assumption

Limitations Two, Three — Categorisation and Time

Limitations Four, Five — Explainability and Systemic Concentration

Which ERM Limitation Is This?

The Three Lines Under AI Pressure

First and Second Lines — Ownership Without Understanding

Third Line, the Accountability Vacuum, and the Digital Skills Gap

Three Lines AI Governance Self-Assessment

What Augmentation Means in Practice

The Augmentation Philosophy — The Operational Resilience Analogy

Current State vs. Augmented State

Module Summary and Practitioner Questions

Traditional ERM frameworks are excellent — and they are not sufficient for AI. This module gives you the honest analysis of why: five structural limitations that create material governance gaps, three lines of defence under unprecedented pressure, an accountability vacuum with no natural home in existing frameworks, and a digital skills gap that cannot be closed by recruitment alone.

Module 2: Why Traditional ERM Needs Augmentation

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