Isbn: 9798996565894 - the ai efficiency & process optimization™: turning governance findings into captured operational savings (the operating discipline for ai library™) (7 resultados)

Condición: New.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Condición: new. Hardcover. Governance identifies what must change. The optimization work changes it.Most AI governance work ends at the risk register. The findings get documented, the target state gets approved, and then nothing moves. Projected labor savings stay projected. Usage climbs, dashboards glow, and the CFO still cannot defend the ROI number on the slide.The AI Efficiency and Process Optimization closes that gap. Volume IV takes the outputs governance produces, including risk registers, approved target states, and corrective action items, and converts them into work the business can actually run: implementation projects, workflow redesigns, technical safeguards, contract remediation, and measurable business improvements. A verification step confirms that projected labor savings were genuinely captured, not estimated on a slide.The book installs a complete measurement discipline. The Workflow Reality Map documents how workflows actually run, including the manual patches and shadow steps nobody wrote down. The AI Process Fit Test gives every AI use case one of four answers: expand, refine, pause, or remove. Four performance indicators, an efficiency scorecard, and an ROI formula produce the number that still holds up after every assumption is challenged, because it counts the hidden costs of review burden and rework alongside the benefits. A ninety-day installation plan runs on named owners and existing meetings, not on consultants living in the conference room. A closing chapter connects documented AI discipline to business valuation, for owners preparing the business for a lender, investor, or acquirer conversation.Written in plain English for owners, presidents, CFOs, and COOs at organizations between 20 and 1,000 employees. No technical background is required. No machine-learning vocabulary is assumed. AI performance is treated the way every other operating function gets treated: baselined, measured, scored, and accountable to the profit and loss statement.Volume IV is the closing volume of Pillar I of The Operating Discipline for AI Library, a nine-volume canon on running AI as a permanent business function, following The AI Business Enablement Audit, The AI Readiness and Performance Assessment, and The AI Risk and Governance Review. Most AI governance work ends at the risk register. Volume IV converts governance findings into implementation projects, workflow redesigns, and captured labor savings. For owners, presidents, CFOs, and COOs proving the AI investment paid off. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Hardcover. Condición: new. Hardcover. Governance identifies what must change. The optimization work changes it.Most AI governance work ends at the risk register. The findings get documented, the target state gets approved, and then nothing moves. Projected labor savings stay projected. Usage climbs, dashboards glow, and the CFO still cannot defend the ROI number on the slide.The AI Efficiency and Process Optimization closes that gap. Volume IV takes the outputs governance produces, including risk registers, approved target states, and corrective action items, and converts them into work the business can actually run: implementation projects, workflow redesigns, technical safeguards, contract remediation, and measurable business improvements. A verification step confirms that projected labor savings were genuinely captured, not estimated on a slide.The book installs a complete measurement discipline. The Workflow Reality Map documents how workflows actually run, including the manual patches and shadow steps nobody wrote down. The AI Process Fit Test gives every AI use case one of four answers: expand, refine, pause, or remove. Four performance indicators, an efficiency scorecard, and an ROI formula produce the number that still holds up after every assumption is challenged, because it counts the hidden costs of review burden and rework alongside the benefits. A ninety-day installation plan runs on named owners and existing meetings, not on consultants living in the conference room. A closing chapter connects documented AI discipline to business valuation, for owners preparing the business for a lender, investor, or acquirer conversation.Written in plain English for owners, presidents, CFOs, and COOs at organizations between 20 and 1,000 employees. No technical background is required. No machine-learning vocabulary is assumed. AI performance is treated the way every other operating function gets treated: baselined, measured, scored, and accountable to the profit and loss statement.Volume IV is the closing volume of Pillar I of The Operating Discipline for AI Library, a nine-volume canon on running AI as a permanent business function, following The AI Business Enablement Audit, The AI Readiness and Performance Assessment, and The AI Risk and Governance Review. Most AI governance work ends at the risk register. Volume IV converts governance findings into implementation projects, workflow redesigns, and captured labor savings. For owners, presidents, CFOs, and COOs proving the AI investment paid off. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Hardcover. Condición: new. Hardcover. Governance identifies what must change. The optimization work changes it.Most AI governance work ends at the risk register. The findings get documented, the target state gets approved, and then nothing moves. Projected labor savings stay projected. Usage climbs, dashboards glow, and the CFO still cannot defend the ROI number on the slide.The AI Efficiency and Process Optimization closes that gap. Volume IV takes the outputs governance produces, including risk registers, approved target states, and corrective action items, and converts them into work the business can actually run: implementation projects, workflow redesigns, technical safeguards, contract remediation, and measurable business improvements. A verification step confirms that projected labor savings were genuinely captured, not estimated on a slide.The book installs a complete measurement discipline. The Workflow Reality Map documents how workflows actually run, including the manual patches and shadow steps nobody wrote down. The AI Process Fit Test gives every AI use case one of four answers: expand, refine, pause, or remove. Four performance indicators, an efficiency scorecard, and an ROI formula produce the number that still holds up after every assumption is challenged, because it counts the hidden costs of review burden and rework alongside the benefits. A ninety-day installation plan runs on named owners and existing meetings, not on consultants living in the conference room. A closing chapter connects documented AI discipline to business valuation, for owners preparing the business for a lender, investor, or acquirer conversation.Written in plain English for owners, presidents, CFOs, and COOs at organizations between 20 and 1,000 employees. No technical background is required. No machine-learning vocabulary is assumed. AI performance is treated the way every other operating function gets treated: baselined, measured, scored, and accountable to the profit and loss statement.Volume IV is the closing volume of Pillar I of The Operating Discipline for AI Library, a nine-volume canon on running AI as a permanent business function, following The AI Business Enablement Audit, The AI Readiness and Performance Assessment, and The AI Risk and Governance Review. Most AI governance work ends at the risk register. Volume IV converts governance findings into implementation projects, workflow redesigns, and captured labor savings. For owners, presidents, CFOs, and COOs proving the AI investment paid off. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Governance identifies what must change. The optimization work changes it.Most AI governance work ends at the risk register. The findings get documented, the target state gets approved, and then nothing moves. Projected labor savings stay projected. Usage climbs, dashboards glow, and the CFO still cannot defend the ROI number on the slide.The AI Efficiency and Process Optimization closes that gap. Volume IV takes the outputs governance produces, including risk registers, approved target states, and corrective action items, and converts them into work the business can actually run: implementation projects, workflow redesigns, technical safeguards, contract remediation, and measurable business improvements. A verification step confirms that projected labor savings were genuinely captured, not estimated on a slide.The book installs a complete measurement discipline. The Workflow Reality Map documents how workflows actually run, including the manual patches and shadow steps nobody wrote down. The AI Process Fit Test gives every AI use case one of four answers: expand, refine, pause, or remove. Four performance indicators, an efficiency scorecard, and an ROI formula produce the number that still holds up after every assumption is challenged, because it counts the hidden costs of review burden and rework alongside the benefits. A ninety-day installation plan runs on named owners and existing meetings, not on consultants living in the conference room. A closing chapter connects documented AI discipline to business valuation, for owners preparing the business for a lender, investor, or acquirer conversation.Written in plain English for owners, presidents, CFOs, and COOs at organizations between 20 and 1,000 employees. No technical background is required. No machine-learning vocabulary is assumed. AI performance is treated the way every other operating function gets treated: baselined, measured, scored, and accountable to the profit and loss statement.Volume IV is the closing volume of Pillar I of The Operating Discipline for AI Library, a nine-volume canon on running AI as a permanent business function, following The AI Business Enablement Audit, The AI Readiness and Performance Assessment, and The AI Risk and Governance Review. …