A new working paper published today proposes that organizations adopt Go-To-Market Governance (GTMGO) as a formal executive management discipline to address the growing challenge of preserving trust as innovation accelerates. The paper, titled 'Engineering Trust: Why the AI Economy May Require a New Executive Management Discipline,' is the first in the GTMGO Canon series and argues that traditional governance, organized around independent functional disciplines, is no longer sufficient in an era of rapid AI-driven transformation.
The paper introduces several foundational concepts, including Governance Engineering—described as the scientific methodology of the discipline—and the role of the Go-To-Market Governance Officer, an executive accountable for applying this methodology to achieve 'Trusted Growth.' It also defines the Governance Velocity Gap™, which describes the organizational challenge created when innovation outpaces governance, and GTMGO Thermodynamic-Friction™, the cumulative resistance generated when governance evolves more slowly than enterprise change.
Rather than restating existing legal, regulatory, or compliance frameworks, the paper synthesizes observations from aviation, legal practice, professional sports labor relations, entertainment, broadcasting, healthcare-adjacent governance, privacy, cybersecurity, and enterprise leadership. It applies management science, systems thinking, and engineering methodology to propose a unified governance discipline for AI-enabled enterprises.
The GTMGO Canon is being released as a sequence of working papers to allow for disciplined inquiry, practical application, and continuous refinement. According to the paper, 'Enduring management disciplines evolve through disciplined inquiry, practical application, constructive criticism, and continuous refinement rather than by declaration alone.' The Version 1.0 Freeze preserves the foundational architecture while inviting thoughtful examination.
Executives, directors, governance professionals, lawyers, technologists, engineers, cybersecurity practitioners, privacy leaders, healthcare administrators, financial institutions, regulators, researchers, and academics are invited to review the working paper and contribute observations. Feedback will be documented through the GTMGO Research Notes process for future publications.
The paper poses a critical question: 'If the AI economy has transformed how organizations innovate, is it time to rethink how organizations govern innovation?' The author, Peter Q. John, JD, MBA, is a communication and compliance executive and founder of the GTMGO Canon. The full working paper is expected to be released in the coming weeks. More information is available at the author's LinkedIn profile.
