AI Strategy for Executives
A leadership guide for deciding where AI deserves capital, who owns it, how risk is governed, and how boards measure whether AI is creating real strategic advantage.
EUR 197
Price
Online
Format
220 pages
Pages
AI maturity model
Capital allocation framework
Board governance system
Who It Is For
Built for people making business decisions.
CEOs, boards, executives, transformation sponsors, and senior operators who need AI strategy framed as investment, capability, risk, and measurable business impact
Use the book as an operating manual for planning AI automation, selecting the right workflows, governing risk, measuring ROI, and moving from isolated pilots to a managed automation portfolio.
Business Outcomes
Set AI ambition without drifting into hype
Choose where to invest, partner, build, or stop
Govern risk and measure business impact at executive level
Reader Signal
Built for operators who need more than AI hype.
The book is positioned for executives and implementation teams who need a practical path from pilot activity to managed automation capability.
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The useful part is the operating model. It does not sell AI as a tool purchase; it shows how to make ownership, governance, and ROI clear enough for leadership to act.
COO, mid-market services firm
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The value map and stage-gate model make the book practical. It gives teams a way to decide what should be automated first and what should be killed before it wastes budget.
Transformation lead, B2B operations
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This reads like a field manual for executives. The strongest sections are governance, operations, and measurement because they address what usually breaks after the demo.
CIO advisor, enterprise AI programs
Inside the Website Reader
Chapter preview.
Why AI Strategy Is an Operating Decision
Shows how to turn the chapter topic into a clear business decision, operating model, or implementation step.
The Executive AI Maturity Model
Shows how to turn the chapter topic into a clear business decision, operating model, or implementation step.
Strategic Opportunity Mapping
Shows how to turn the chapter topic into a clear business decision, operating model, or implementation step.
Capital Allocation and Investment Cases
Explains how money can accelerate execution, but cannot replace customer demand, judgment, or operating discipline.
Build, Buy, Partner, or Wait
Shows how to turn the chapter topic into a clear business decision, operating model, or implementation step.
Operating Model and Ownership
Shows how to turn the chapter topic into a clear business decision, operating model, or implementation step.
Governance, Risk, and Decision Rights
Defines the controls, review points, ownership, and evidence needed to use AI without creating unmanaged exposure.
Talent, Training, and Leadership Capability
Shows how to turn the chapter topic into a clear business decision, operating model, or implementation step.
Measurement, ROI, and Board Reporting
Translates AI impact into time, cost, quality, risk, revenue, and decision metrics leaders can actually use.
Competitive Advantage and Industry Timing
Shows how to turn the chapter topic into a clear business decision, operating model, or implementation step.
The 12-Month Executive AI Roadmap
Shows how to turn the chapter topic into a clear business decision, operating model, or implementation step.
The AI-Native Company by 2030
Separates durable operating principles from short-term AI hype so the system can evolve as technology changes.
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