The AI Operating Model: How CEOs, CIOs, CTOs, CDOs, and Enterprise Leaders Redesign Governance, Roles, Platforms, and Decision Rights for AI-Native Ex

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ISBN13: 9798184756639
Publisher: Independently Published
Published: Jun 28 2026
Pages: 216
Weight: 0.65
Height: 0.46 Width: 6.00 Depth: 9.00
Language: English

Artificial intelligence is no longer just a technology initiative. It is changing how enterprises govern, fund, organize, and execute decisions.

The AI Operating Model is an executive reference for CEOs, CIOs, CTOs, CDOs, Chief AI Officers, board members, and enterprise leaders who want to move beyond disconnected AI pilots and build AI as a permanent operating capability.

Many organizations are already investing in AI. Yet too often, successful pilots remain isolated experiments: funded like projects, governed through outdated structures, disconnected from enterprise platforms, and lacking clear ownership for the decisions AI systems increasingly influence or execute.

This book argues that the real challenge is not simply AI strategy or AI technology. The real challenge is the operating model.

At the center of the book are four essential pillars:

Adaptive Governance and Dynamic Funding - how enterprises move from fixed annual budgets to continuous, outcome-based allocation of AI resources.

Roles and Talent 3.0 - how human teams, AI agents, and supervisory roles are redesigned around outcomes rather than traditional functions.

Platform and Data Integration Architecture - why scalable AI depends on governed, real-time context, composable platforms, and trustworthy data flows.

Redesigned Decision Rights - how leaders define which decisions machines may make alone, which require human approval, and which must remain fully human.

Written in a clear, executive style, The AI Operating Model connects governance, funding, roles, platforms, data, AI FinOps, decision rights, maturity models, and board-level accountability into one practical management system for AI-native execution.

This is not a technical manual and not a hype-driven AI book. It is a C-suite guide to making AI scalable, governable, economically disciplined, and operationally real.

Inside, readers will find:

A structured model for moving from AI pilots to enterprise-scale AI execution
Practical frameworks for AI governance, funding, roles, platforms, and decision rights
Executive questions for CEOs, CIOs, CTOs, CDOs, CFOs, COOs, CAIOs, and boards
Tools for identifying stranded pilots, governance gaps, decision-rights ambiguity, and scaling blockers
A roadmap for building AI as a permanent operating capability rather than a temporary innovation program

The AI Operating Model is for leaders who understand that the future of AI will not be won by tools alone. It will be won by organizations that redesign how decisions, accountability, funding, talent, and platforms work together.

To scale AI, enterprises must redesign the operating system of the business.