Capability is loud. Control is quiet. And the gap between what your AI can do and what you can govern is now the most expensive liability in business. A tribunal held Air Canada responsible for its own chatbot - "the algorithm did it" was no defence. A self-learning benefits algorithm helped topple the Dutch government. Zillow wrote off around half a billion dollars when a pricing model misjudged the market. In every case the technology worked. The control around it did not. The AI Control Architecture is the board-to-build operating manual for governing artificial intelligence under the EU AI Act, ISO/IEC 42001, the NIST AI RMF and the 2030 regulatory horizon. It rejects the false choice between moving fast and staying safe and proves the opposite: control is the brake that lets you press the accelerator. At its heart is the seven-layer CONTROL Architecture(TM) - Charter, Ownership, Navigation, Trust, Resilience, Operations, Leverage - deployed through a 90-Day System that takes you from ungoverned AI to a defensible, revenue-ready baseline in three phases, then into five sector playbooks (financial services, healthcare, hiring, customer-facing/generative, public sector). You will learn how to: - WIN regulated, high-value contracts on the strength of evidenced, provable governance. - AVOID director liability, voided insurance, a frozen AI pipeline, and the viral failure that drains trust overnight. - PROVE - to a regulator, a buyer, and a board - that every model is owned, safe, lawful, and accountable. > > Govern the model. Prove the control. Bank the value.
AmazonPages: 480, Paperback, Independently published
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