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AI for Corporate Executives: A Practical Leadership Guide to AI Strategy, Governance, Investment, Risk, Transformation, and the Intelligent Enterprise
Paperback
Business GeneralGeneral Computers
Publisher: Independently Published
Published: Sep 2 2026
Pages: 260
Weight: 0.78
Height: 0.55 Width: 6.00 Depth: 9.00
Language: English
Artificial intelligence is no longer simply an IT issue. It is an executive leadership issue.
AI is changing how organizations compete, make decisions, manage risk, serve customers, develop employees, invest capital, automate work, and design the enterprise itself. Yet many executives are being asked to lead this transformation without becoming AI engineers or data scientists.
AI for Corporate Executives was written for that leadership challenge.
This practical executive guide explains what CEOs, CIOs, CTOs, CFOs, CHROs, CISOs, board members, business leaders, consultants, and senior managers actually need to understand about artificial intelligence.
Rather than focusing on programming or technical theory, the book translates AI into the questions executives must answer:
- Where can AI create genuine business value?
- Which AI initiatives deserve investment?
- How should AI ROI be measured?
- Who should own AI inside the enterprise?
- How should AI agents and digital workers be governed?
- What decisions should remain human?
- How should cybersecurity, privacy, ethics, and regulatory risks be controlled?
- How should the workforce change as AI becomes more capable?
- When should organizations automate, augment, redesign, or stop a process?
- How does an organization move from isolated AI tools toward an intelligent enterprise?
The book takes executives from foundational AI literacy through strategy, investment, governance, risk, organizational redesign, AI agents, workforce transformation, and enterprise-wide implementation.
Readers will learn how to build an AI investment portfolio, prioritize AI projects, move pilots into production, measure realized value, establish governance structures, control autonomous agents, manage AI economics, redesign human and digital work, and execute a practical twelve-month transformation roadmap.
Particular attention is given to the emerging agentic enterprise, where AI systems move beyond providing answers and begin performing authorized work using applications, information, APIs, workflows, and other digital systems.
The central leadership principle is clear:
AI may analyze, recommend, assist, automate, and act within authorized limits. Human executives must remain accountable for organizational outcomes.
AI for Corporate Executives provides a practical framework for leaders who want to move beyond AI experimentation and build an enterprise that uses artificial intelligence strategically, responsibly, securely, and economically.
The goal is not to deploy the most AI.
The goal is to build a better enterprise with AI.
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