THE AI CONTROL ARCHITECTURE : The 90-Day System for Building Governed, Regulated, Revenue¿Ready AI When the Machine Decides, Someone Must Answer.
Language: English
Published by Independently Published Jun 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 93.24
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Add to basketItem description from seller
Neuware - 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.…
Seller Inventory # 9798184327174
- Title
- THE AI CONTROL ARCHITECTURE : The 90-Day System for Building Governed, Regulated, Revenue¿Ready AI When the Machine Decides, Someone Must Answer.
- Author
- Kai London
- Publisher
- Independently Published Jun 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798184327174
- Item weight
- 889 grams
- Dimensions
- 229x152x32 mm
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™ — 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.
Inside the toolkit: an AI policy template, a use-case risk-triage checklist, a governance RACI, a regulatory map, a model-documentation pack, a board-report one-pager, a CONTROL maturity scorecard, an ISO/IEC 42001 alignment map, a dissected catalogue of recent AI incidents (2018–2025), and a Claims & Sources provenance appendix — because if it cannot be evidenced, it cannot be defended.
Essential for chief executives, founders and board members; risk, compliance, legal and GRC leaders; CTOs, heads of AI and product leaders; and every operator who must turn an AI strategy slide into governed, revenue-ready reality.
Govern the model. Prove the control. Bank the value.
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