Spring 2025
The Intelligence Organization:
The new rules of work for the AI era.
The deepest anxiety in every boardroom is the same: the organizational model built for a different era is actively crippling your AI initiatives.
Massive spending and ambitious pilots are failing because corporate hierarchy and functional silos cannot sustain AI’s integrated nature.
While most business books stop at strategy, The Intelligence Organization delivers the first operational blueprint built specifically to replace organizational gridlock with adaptive intelligence. This is not theory—it’s a rigorous, systematic manual for designing structures that achieve machine speed with human wisdom.
You’ll discover the proprietary tools needed to lead this transformation:
The Starkey Model™: A proprietary, quantitative framework to surgically prioritize your entire AI portfolio, guaranteeing resources are invested for maximum value and momentum.
The Right-Sizing Principle: The critical discipline for assessing your organization’s change-absorption capacity to design sustainable technology that avoids inevitable, costly rejection.
The Four Integrated Bands: A dependency-mapped system covering Technology That Fits, People and Purpose, Operational Integration, and Adaptive Governance—the pillars that ensure cohesive, enterprise-wide scale.
If you’re a CIO, CTO, Innovation Leader, or AI Program Director responsible for driving AI transformation—this is the definitive, step-by-step blueprint you need to secure your competitive advantage and redefine your organization.
If you’re a CIO, CTO, Innovation Leader, or AI Program Director responsible for driving AI transformation—you need this definitive blueprint to redefine your organization and your legacy.
2026
The definitive enterprise-ready guidebook for CMOs, growth executives, and marketing leaders under pressure to deliver measurable impact through AI—without wasting time, budget, or credibility. Unlike trend reports or technical manuals, this book provides a practical, strategic roadmap for adopting AI across the full marketing value chain—from predictive analytics and content generation to sales enablement, customer experience, and forecasting.
Inside, readers will gain:
A foundational, jargon-free understanding of AI, machine learning, and deep learning
Step-by-step strategies to integrate AI into marketing operations, team structures, and decision-making
Guidance on data readiness, governance, compliance, and ethical AI practices
Insights on using AI to drive personalization, dynamic pricing, automation, and predictive forecasting
Methods to upskill teams, build internal buy-in, and lead change across the organization
Advanced techniques in AI agents, MLOps, generative AI, and multi-modal systems
A must-read for all marketing leaders to transform AI from theory into competitive advantage
Each chapter includes actionable playbooks, risk mitigation strategies, and "make-it-actionable" checklists to ensure real-world success.