The AI Readiness & Performance Assessment (Paperback)
Idioma: inglés
Editorial: Srj Consulting & Services Publishing, 2026
Serie: Libro 2 de 9 - The Operating Discipline for AI Library™
- Tapa blanda
- Nuevo
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Vendedor de IberLibro desde 12 de octubre de 2005
Condición: Nuevo
EUR 24,27
Cantidad disponible: 1 disponible
Añadir al carritoDescripción del artículo del vendedor
Paperback. Nobody knows if the AI in your business is working. Including you.It's drafting your emails, supporting your decisions, and shaping the work that goes to your clients. It's running inside your tools, your vendors' platforms, and your employees' personal accounts. None of it was governed the way you govern hiring, finance, or compliance. You've been signing off on AI for months without a defensible way to know whether it's helping the business or quietly costing you money, accuracy, and trust.That gap is what The AI Readiness & Performance Assessment(TM) closes.This is not a primer on AI tools. It is not a list of use cases to try. It is the structured, evidence-based discipline that tells you whether AI can actually perform inside your business, before you spend another dollar widening a problem you haven't measured.Inside, Stephen R. Jordan walks executives through: Why this book exists.Executives are being asked to defend AI decisions they were never given a framework to make. When the board asks what AI is producing, when the regulator asks how it is governed, when the acquirer asks for evidence of operating discipline, when the lawyer asks who approved what, the answers cannot be improvised. They have to be documented.This book gives you the documentation method.Who it is for.Owners, presidents, CFOs, and COOs running organizations between 20 and 1,000 employees. Executives who would rather measure first, then scale. Leaders who want operating discipline applied to AI the same way it is applied to every other material function in the business.About the author.Stephen R. Jordan is the founder of SRJ Consulting & Services LLC, an AI governance and operational discipline advisory firm serving mid-market to multinational organizations. His career spans senior roles at Citi, Intel, McAfee, and Optiv. Dallas-Fort Worth-based, works nationwide.The AI Readiness & Performance Assessment(TM) is Volume II of The Operating Discipline for AI Library(TM), the operator-led nine-volume series organized into two pillars: AI Business Services(TM) (Volumes I through IV) and AI Risk Governance & Security(TM) (Volumes V through IX).If you would rather know before you scale, start here. Volume II of The Operating Discipline for AI Library. A structured method for executives to test whether AI is producing measurable value before scaling, with a 90-day roadmap. For owners, presidents, CFOs, and COOs. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
N° de ref. del artículo 9798996565832
- Título
- The AI Readiness & Performance Assessment (Paperback)
- Autor
- Stephen R. Jordan
- Editorial
- Srj Consulting & Services Publishing
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 13
- 9798996565832
- Serie
- Libro 2 de 9: The Operating Discipline for AI Library™
Nobody knows if the AI in your business is working. Including you.
It's drafting your emails, supporting your decisions, and shaping the work that goes to your clients. It's running inside your tools, your vendors' platforms, and your employees' personal accounts. None of it was governed the way you govern hiring, finance, or compliance. You've been signing off on AI for months without a defensible way to know whether it's helping the business or quietly costing you money, accuracy, and trust.
That gap is what The AI Readiness & Performance Assessment™ closes.
This is not a primer on AI tools. It is not a list of use cases to try. It is the structured, evidence-based discipline that tells you whether AI can actually perform inside your business, before you spend another dollar widening a problem you haven't measured.
Inside, Stephen R. Jordan walks executives through:
- The six readiness conditions that decide whether AI produces real value or quiet loss
- A 1-to-5 maturity scale that converts judgment into evidence the board will accept
- A decision protocol that translates the score into expand, refine, or pause
- A 90-day execution roadmap from baseline to defensible decision
- A repeatable governance framework that keeps the discipline running long after the assessment closes
Why this book exists.
Executives are being asked to defend AI decisions they were never given a framework to make. When the board asks what AI is producing, when the regulator asks how it is governed, when the acquirer asks for evidence of operating discipline, when the lawyer asks who approved what, the answers cannot be improvised. They have to be documented.
This book gives you the documentation method.
Who it is for.
Owners, presidents, CFOs, and COOs running organizations between 20 and 1,000 employees. Executives who would rather measure first, then scale. Leaders who want operating discipline applied to AI the same way it is applied to every other material function in the business.
About the author.
Stephen R. Jordan is the founder of SRJ Consulting & Services LLC, an AI governance and operational discipline advisory firm serving mid-market to multinational organizations. His career spans senior roles at Citi, Intel, McAfee, and Optiv. Dallas-Fort Worth-based, works nationwide.
The AI Readiness & Performance Assessment™ is Volume II of The Operating Discipline for AI Library™, the operator-led nine-volume series organized into two pillars: AI Business Services™ (Volumes I through IV) and AI Risk Governance & Security™ (Volumes V through IX).
If you would rather know before you scale, start here.
“Sinopsis” puede pertenecer a otra edición de este título.
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Bensenville, IL, Estados Unidos de America
Vendedor de IberLibro desde 12 de octubre de 2005
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