The rapid advancement of artificial intelligence has created a governance challenge for enterprises, as traditional management structures struggle to keep pace with innovation. A new working paper, 'Engineering Trust: Why the AI Economy May Require a New Executive Management Discipline,' proposes a solution: Go-To-Market Governance (GTMGO), an executive management discipline designed to engineer governance into growth rather than applying it retroactively.
Published today by Peter Q. John, JD, MBA, the paper serves as Working Paper No. 1 of the GTMGO Canon. It establishes foundational concepts including Governance Engineering as the scientific methodology of the discipline; the Go-To-Market Governance Officer as the accountable executive; the Governance Velocity Gap™, which describes the organizational challenge when innovation outpaces governance; and GTMGO Thermodynamic-Friction™, the cumulative resistance generated when governance evolves more slowly than enterprise change.
The paper does not restate existing legal or compliance frameworks but instead proposes that recurring engineering principles exist across trusted professions and regulated industries. Insights are drawn from fields such as aviation, legal practice, professional sports labor relations, entertainment, broadcasting, healthcare-adjacent governance, privacy, cybersecurity, and enterprise leadership. These observations are synthesized through management science, systems thinking, and engineering methodology to propose a unified governance discipline for AI-enabled enterprises.
John, a communication and compliance executive and founder of the GTMGO Canon, argues that while organizations have engineered remarkable advances in customer acquisition and operational efficiency, governance has remained organized around independent functional disciplines. As the velocity of innovation increases, preserving trust becomes more challenging. The GTMGO framework aims to address this by integrating governance into the go-to-market process from the outset.
The GTMGO Canon is being released as a sequence of working papers, reflecting the belief that management disciplines evolve through disciplined inquiry and practical application rather than declaration. The Version 1.0 Freeze preserves the foundational architecture while inviting examination and feedback from executives, directors, governance professionals, lawyers, technologists, engineers, cybersecurity practitioners, privacy leaders, healthcare administrators, financial institutions, regulators, researchers, and academics. Meaningful feedback will be documented through the GTMGO Research Notes process and considered for future working papers.
Working Paper No. 1 will be released in the coming weeks. For more information, visit Peter Q. John's LinkedIn profile.
