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New Working Paper Proposes 'Go-To-Market Governance' as Executive Discipline for AI Economy

The GTMGO Canon's first working paper introduces a new executive management discipline aimed at engineering governance into growth to address trust challenges in the AI economy.
New Working Paper Proposes 'Go-To-Market Governance' as Executive Discipline for AI Economy

A new working paper published today proposes a novel executive management discipline called Go-To-Market Governance (GTMGO), designed to help organizations integrate governance into growth processes rather than applying it retroactively. The paper, titled 'Engineering Trust: Why the AI Economy May Require a New Executive Management Discipline,' is Working Paper No. 1 of the GTMGO Canon and was released by Peter Q. John, a communication and compliance executive.

The paper argues that while artificial intelligence has transformed how organizations innovate, scale, and compete, governance has remained organized around independent functional disciplines. As innovation velocity increases, preserving trust becomes more challenging. GTMGO is proposed as a discipline to engineer governance into growth from the outset.

Working Paper No. 1 also establishes the Version 1.0 Freeze of the foundational concepts of the GTMGO Canon. These include Governance Engineering as the scientific methodology of the discipline; the Go-To-Market Governance Officer as the executive accountable for applying Governance Engineering to achieve Trusted Growth; the Governance Velocity Gap™, which describes the organizational challenge when innovation outpaces governance; and GTMGO Thermodynamic-Friction™, representing cumulative organizational resistance when governance evolves more slowly than enterprise change.

Rather than restating existing legal, regulatory, or compliance frameworks, the paper proposes that recurring engineering principles exist across trusted professions and regulated industries. The work is informed by observations from 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.

The GTMGO Canon is being released as a sequence of Working Papers to reflect the belief that enduring management disciplines evolve through disciplined inquiry, practical application, constructive criticism, and continuous refinement. The Version 1.0 Freeze preserves the foundational architecture while inviting thoughtful examination of implementation and future development.

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 constructive observations. Meaningful feedback will be documented through the GTMGO Research Notes process and considered for future Working Papers without altering the historical integrity of Version 1.0.

Working Paper No. 1 will be released in the coming weeks. The paper is published to encourage executive, professional, and scholarly discussion. The concepts presented reflect the Version 1.0 Freeze and are expected to evolve through practical implementation, interdisciplinary dialogue, empirical observation, and constructive critique. Future publications will preserve the integrity of the Version 1.0 Canon while documenting subsequent refinements.

For more information, visit the GTMGO Canon page on LinkedIn.

Burstable Editorial Team

Burstable Editorial Team

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