Paul Roetzer has announced a new book built around a problem he keeps encountering: Companies are buying AI tools and training employees without defining what successful transformation looks like.
His new book, “The AI Transformation Blueprint,” introduces connected approaches for measuring organizational and individual progress.
SmarterX founder and CEO Paul Roetzer announced his fourth book, “The AI Transformation Blueprint: A Human-Centered Approach to Organizational Change.” It translates seven months of work on an AI transformation system into a guide for leaders and professionals trying to move from experiments to lasting business change.
Roetzer delivered the roughly 25,000-word manuscript for editing about eight days after starting it. That compressed schedule drew on years of research, existing writing, and the internal project he began in February. He described AI's role as a thought partner and a tool for building software prototypes.
The book features two connected blueprints: one for the business and one for the individual. A planned companion assessment platform would help users establish a starting point, identify gaps, prioritize actions, and track progress.
On Episode 241 of The Artificial Intelligence Show, Roetzer explained why those pieces belong together.
25,000 - Approximate length in words of the draft manuscript
8 - Approximate writing time in days before handed off to an editor
7+ - Months of development work behind the AI Transformation System featured in the book
67 - Dimensions or areas of change across eight business pillars
37 - Dimensions or areas of change across five personal pillars
Activity is easy to see. Progress is harder to define. Roetzer says conversations with hundreds of businesses kept returning to the same gap: Companies could describe their tools, training, and use cases but explaining how those investments would change the organization proved harder.
No one actually knows what AI transformation looks like or how to quantify their progress along the transformation spectrum.
The book's business assessment looks beyond software. Its eight pillars cover vision, strategy, data, technology, governance, literacy, people, and performance. The 67 dimensions break those categories into specific areas of change, with three proposed actions based on how an organization ranks in each area.
That structure gives leaders a way to examine whether their people, policies, and operating decisions are keeping up with the tools they provide. It also makes the discussion more concrete than a broad declaration that the company intends to become AI-forward.
Employees need their own starting point. The personal blueprint covers knowledge, application, judgment, impact, and mindset. Its 37 dimensions are intended to help individuals assess their progress and decide what to work on next. The book's premise is that organizational change depends on the people doing the work changing, too.
“I basically put seven months of my life into defining what responsible human-centered transformation looks like, both at the organizational level and at the individual level.”
— Paul Roetzer, founder and CEO of SmarterX, Episode 241 of The Artificial Intelligence Show
Before funding another round of AI training, leaders should be able to describe the change they expect to see a year from now. That answer needs to connect learning to meaningful work and business outcomes. Otherwise, it will be hard to track the evidence of progress.
Assessing the organization and the individual separately makes that conversation more useful. A company needs to understand both the support it provides and the capabilities employees are building. Roetzer's approach puts responsibility on leadership while giving professionals a way to take ownership of their own development, too.
The official release of the book and assessment platform. On Sept. 21, Roetzer said MAICON attendees would receive copies at the October 13-15 conference in Cleveland. He expected broader distribution later in October and planned to make the companion software free, with a launch before MAICON. Final distribution details are still being worked out.
Only 29% of respondents say their organization has an AI roadmap or strategy that prioritizes use cases and projects for the next one to two years, according to the 2026 State of AI for Business Report. That planning gap helps explain why a definition of success matters: teams need a shared direction for deciding which work deserves their attention.
Based on more than 2,100 responses from professionals across roles, functions, and industries, the full report examines adoption, training, governance, and organizational readiness. It offers a benchmark for leaders assessing where their own organization needs to improve. Read the full report