Every quarter, your board reviews what happened. But is it enough if your AI evolves its entire strategy between those meetings?
CodeShift tells the story of Velinex Pharmaceuticals, a company that believed it had found its competitive edge. Their advanced AI platform promised personalized physician engagement, rising prescriptions, and reclaimed market share. But as the system's recommendations evolved, subtle behavioral shifts began to surface. Nova Sinclair, the company's Chief Compliance Officer, starts to ask questions. What she finds has her facing a choice: stay quiet and protect her standing or challenge the assumptions behind the company's most celebrated initiative.
The book combines compelling narrative with practical application. Part I tells the story through a business fable of AI crisis and transformation. Part II translates those insights into actionable frameworks and specific guidance for different leadership roles.
Whether you're a Chief Compliance Officer noticing concerning patterns, a C-suite executive questioning AI recommendations, or a board member asking deeper questions about digital transformation, this book provides the framework to lead proactively.
Because the future belongs to leaders who can govern at the speed of innovation.
A comparison showing Traditional Governance vs. CodeShift Governance. Illustrates the shift from controlling outcomes to architecting environments where good decisions naturally emerge.
A visual representation of the "red thread" showing how individually compliant AI decisions connect over time to create systematic drift toward unintended outcomes.
A triangular framework with three interconnected pillars which work together to create Values-Aligned Outcomes. all elements must combine for effective AI governance.
This roadmap appears as Appendix A in the book and identifies CodeShift capabilities to develop.
This readiness assessment allows you to score your organization across four key CodeShift dimensions.
This discussion guide features ethical questions that are designed to help leadership teams explore complex AI governance dilemmas.