🎬 Three and a half minutes. One framework.
Board packs are long enough already, so we have distilled the "Mastering AI Risk: Board and C-Suite Primer" into a short motion graphic: the whole Enterprise-wide AI Risk Management® (EW-AiRM®) ewairm.com architecture, animated, in the time it takes to pour a coffee.
In just over 3 minutes it covers:
▪️ Why generative AI breaks traditional risk management: deterministic assumptions, static risk categories, temporal mismatch and the explainability gap
▪️ The three layers: six strategic governance pillars, an operational engine built on the MIT AI Risk Repository (7 domains, 24 subdomains, 1,700+ categorised risks, 831 evidence-based controls), and resilience against eight AI Black Swan categories
▪️ HAiPECR™, the continuous ethical overlay running across all three layers
▪️ The Five Non-Negotiables: the always-on floor that no composite score can average away
The guiding principle throughout: augmentation, not replacement.
EW-AiRM™ overlays AI-specific governance onto the ERM foundations your organisation already runs.
Because the first AI governance question is not how to deploy.
It is whether to deploy.
📄 The full 8-page primer, the free browser-based companion tools and the Knowledge-Bot are all at www.ewairm.com
📘 And the complete framework, with templates, KXI libraries and worked examples throughout, arrives on 12 November 2026 in the Wiley volume "Enterprise-Wide AI Risk Management (EW-AiRM™):
A Practical Framework for Managing AI Risks in Any Organisation", written by our founding director Prof. Markus Krebsz
Pre-order now: https://lnkd.in/eFZUcNTV
Watch the 3min motion graphic here: