As artificial intelligence accelerates organizational innovation, a new working paper argues that governance must evolve from a reactive, siloed function into a proactive executive discipline. Published today, 'Engineering Trust: Why the AI Economy May Require a New Executive Management Discipline' introduces Go-To-Market Governance (GTMGO) as a proposed management framework to embed governance into growth processes. The paper, authored by Peter Q. John, a communication and compliance executive, is the first in a series of Working Papers under the GTMGO Canon.
The paper identifies a critical challenge: organizations have achieved remarkable advances in customer acquisition, digital platforms, and operational efficiency, but governance remains organized around independent functional disciplines. As innovation velocity increases, so does the difficulty of preserving trust. GTMGO proposes a unified discipline that applies engineering principles to governance, aiming to build trust systematically rather than retroactively.
Key concepts introduced in the Version 1.0 Freeze include Governance Engineering, defined as the scientific methodology of the discipline; the Go-To-Market Governance Officer, an executive role responsible for achieving Trusted Growth; the Governance Velocity Gap™, which describes the lag when innovation outpaces governance; and GTMGO Thermodynamic-Friction™, representing cumulative organizational resistance from slow governance evolution. These concepts are not replacements for legal or compliance frameworks but rather a meta-discipline for coordinating them.
The paper draws from observations across aviation, legal practice, professional sports labor relations, entertainment, broadcasting, healthcare-adjacent governance, privacy, cybersecurity, and enterprise leadership. These are synthesized through management science, systems thinking, and engineering methodology. The author emphasizes that GTMGO is released as a working paper to invite constructive criticism and refinement, reflecting the belief that enduring management disciplines evolve through disciplined inquiry.
Executives, directors, governance professionals, technologists, and researchers are invited to review the paper and contribute feedback, which will be documented through the GTMGO Research Notes process. The full paper is available at this link. The author poses a critical question: If the AI economy has transformed how organizations innovate, is it time to rethink how organizations govern innovation? The paper suggests that the answer is yes, and GTMGO may provide a path forward.
