Book cover titled "The Enterprise AI Method" by M.C. Starkey, featuring a colorful abstract wave design.

Spring 2025

The First Operational System for Scaling Enterprise AI

90% of enterprise AI projects fail to scale. This book shows you exactly how to change that.

While most AI business books stop at strategy, The Enterprise AI Method™ delivers the first operational blueprint built specifically to break the “pilot purgatory” cycle. This is not theory—it’s a practical, systematic system designed for real-world execution.

You’ll discover:

  • The Right-Sizing Principle to design scalable, sustainable AI initiatives

  • The Four Critical Pillars every implementation must have: technical approach, organizational capability, operational integration, and governance

  • A dependency-mapped framework that reveals exactly how to avoid the hidden traps that derail 90% of AI programs

  • Resource mapping, risk scenarios, and operational guidance so you can move confidently from pilot to scale

  • The proprietary Starkey Model™ to surgically prioritize your AI initiatives based on value and feasibility

If you’re a CIO, CTO, Innovation Leader, or AI Program Director responsible for driving AI transformation—you need this book.

Red book cover titled "AI for Marketing Leaders" with text "A Practical Guide for Driving Growth in the Age of Intelligence" and "Megan C. Starkey". A diagonal banner reads "tentative title".

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.