New Paper Proposes 'Go-To-Market Governance' as Executive Discipline to Engineer Trust in AI Economy

The GTMGO Canon's Working Paper No. 1 introduces Go-To-Market Governance as a new executive discipline to embed governance into growth, addressing the gap where innovation outpaces trust mechanisms in AI-driven enterprises.

Philly Metrowire Staff
Technology
New Paper Proposes 'Go-To-Market Governance' as Executive Discipline to Engineer Trust in AI Economy

The publication of 'Engineering Trust: Why the AI Economy May Require a New Executive Management Discipline' marks the release of Working Paper No. 1 of the GTMGO Canon, proposing Go-To-Market Governance (GTMGO) as a new executive management discipline. The paper, authored by Peter Q. John, argues that as artificial intelligence accelerates organizational innovation, traditional governance structures—organized around independent functions—struggle to maintain trust. GTMGO aims to engineer governance into growth rather than applying it retrospectively.

Working Paper No. 1 establishes the Version 1.0 Freeze of foundational concepts within the GTMGO Canon. These include Governance Engineering as the scientific methodology; the Go-To-Market Governance Officer as the accountable executive; the Governance Velocity Gap™, describing the challenge when innovation outpaces governance; and GTMGO Thermodynamic-Friction™, representing cumulative resistance from slow-evolving governance. The paper draws on observations from aviation, legal practice, sports labor relations, entertainment, broadcasting, healthcare, privacy, cybersecurity, and enterprise leadership, synthesized through management science and systems thinking.

The GTMGO Canon is released as a series of working papers to encourage disciplined inquiry and refinement. The Version 1.0 Freeze preserves the foundational architecture while inviting feedback from executives, directors, governance professionals, lawyers, technologists, engineers, cybersecurity practitioners, privacy leaders, healthcare administrators, financial institutions, regulators, researchers, and academics. Feedback will be documented through the GTMGO Research Notes process and considered for future papers without altering Version 1.0's integrity.

The paper proposes that recurring engineering principles exist across trusted professions and regulated industries, suggesting a unified governance discipline for AI-enabled enterprises. It emphasizes that enduring management disciplines evolve through practical application and constructive criticism rather than declaration alone. Working Paper No. 1 will be released in the coming weeks, with the full canon expected to develop through interdisciplinary dialogue and empirical observation.

For more information, the paper is available through the GTMGO Canon publication history. John, a communication and compliance executive and founder of the GTMGO Canon, invites constructive observations to advance the discipline. The paper poses a critical question: If the AI economy has transformed how organizations innovate, is it time to rethink how they govern innovation?

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