THE AI STRATEGY
BLUEPRINT
The complete framework for leading AI transformation. From governance and ROI to security and scale.
Written by an AI company CEO with seven years of enterprise deployment experience. These are the exact strategies that distinguish organizations generating 5x revenue gains from those trapped in perpetual pilots.
Available on Amazon Digital & Physical
WHAT YOU WILL MASTER
While 85% of enterprise AI investments fail to deliver expected results, a select group of organizations are capturing transformational value. Here's how you join them.
THE 10-20-70 RULE
Understand why 70% of AI success depends on people and processes, not technology.
- AI literacy frameworks
- Change management strategies
- Workforce transformation
GOVERNANCE THAT ENABLES
Build governance frameworks that accelerate AI adoption rather than block it.
- Acceptable use policies
- Risk-based tiers
- Trust-building processes
ROI QUANTIFICATION
Methodologies that satisfy CFO scrutiny and justify AI investment at scale.
- Cost allocation models
- Value measurement
- Executive reporting
Strategy & People
AI adoption is a business transformation, not a technology project. The 10-20-70 rule reveals the truth: 10% of AI success depends on algorithms, 20% on technology infrastructure, and 70% on people and processes.
Execution & Scale
Start smaller than you think necessary. Quick wins build momentum. The crawl-walk-run methodology transforms AI ambition into measurable results.
Get Chapter 1 Free: The 10-20-70 Rule
Discover why people and processes determine AI success more than technology. This free chapter reveals the framework used by organizations achieving transformational AI value.
"The 10-20-70 rule reveals the uncomfortable truth: 10% of AI success depends on algorithms, 20% on technology infrastructure, and 70% on people and processes. Organizations that invest heavily in AI technology while neglecting workforce literacy consistently underperform."
- Complete breakdown of the 10-20-70 framework
- AI literacy assessment methodology
- Change management strategies for AI adoption
- The "high school intern" mental model
PDF format, 28 pages, instant download
Infrastructure & Security
Local AI that runs entirely on employee devices deploys in hours with no data leaving organizational boundaries. Security-first architecture for even classified environments.
Air-Gapped Solutions
Deploy AI that satisfies even classified environment requirements.
Data Sovereignty
Complete control over where data resides and how it's processed.
Compliance Ready
HIPAA, GDPR, FedRAMP-aligned deployment architecture.
Data & Reliability
AI hallucination is fundamentally a data ingestion problem, not a model problem. The continuous improvement discipline separates sustained value from gradual degradation.
- Functional, performance, and reliability testing
- Human-in-the-loop validation protocols
- Continuous improvement frameworks
LOOK INSIDE
Preview the comprehensive content and professionally designed layouts that make this blueprint actionable.
WHO THIS BOOK IS FOR
Whether you're defining enterprise AI strategy or leading transformation initiatives.
Executive Leadership
CEOs and C-suite executives defining enterprise AI strategy, investment priorities, and organizational transformation.
- Strategic framework for AI decisions
- Board-level AI oversight guidance
Technology Leadership
CIOs and CTOs navigating AI deployment architecture, security requirements, and infrastructure decisions.
- Technical architecture patterns
- Security-first deployment
Transformation Leaders
Change leaders, digital officers, and HR partners managing organizational AI adoption and workforce readiness.
- Change management playbooks
- Training program frameworks
FREQUENTLY ASKED QUESTIONS
Is this book relevant if I'm not in a technology role?
Absolutely. The AI Strategy Blueprint is written specifically for business leaders, not technical practitioners. The frameworks address organizational transformation, governance, change management, and strategic decision-making—the leadership challenges that determine AI success.
How current is the information given how fast AI is changing?
Written in January 2026, the book addresses fundamental principles of AI transformation that endure regardless of specific technology changes. The 10-20-70 rule, governance frameworks, and deployment methodologies remain valid as technology evolves.
Does this book cover specific AI products or is it vendor-agnostic?
The book provides frameworks applicable to any AI deployment while using practical examples from real implementations. The principles work whether you're evaluating cloud AI, on-premises infrastructure, or edge deployment.
My organization hasn't started with AI yet. Is this book still relevant?
This book is ideal for organizations at any stage of AI maturity. The frameworks cover everything from initial strategy definition through advanced governance and continuous improvement. Organizations just beginning their AI journey will find the crawl-walk-run approach particularly valuable.
THE GAP WIDENS EVERY DAY
Organizations that deploy AI today compound their advantages through accumulated data, refined workflows, and trained workforces. Those waiting for perfect clarity fall further behind with each passing quarter.
The AI available today represents the worst AI that will ever exist. Organizations that develop AI skills now will see their productivity improve as underlying technology advances.
Get The Blueprint $24.95Available now on Amazon. Digital & Physical formats.