This category collects foundational and analytical writing from the AI Integrity Management working group at The Integral Management Society (integralmanagement.ch) and its operational arm, Tegrity.AI.
AI Integrity Management is an emerging enterprise discipline that converges AI safety, explainability, governance, operational reliability, cybersecurity and regulatory compliance into a single unified oversight function. The central argument: as AI moves from experimentation into mission-critical operations, no single existing discipline — ethics, compliance, security, or MLOps — is sufficient on its own. An integrated function is required.
Articles in this series examine the conceptual foundations of AI Integrity as an organising principle; the institutional and organisational design of an enterprise AI Integrity function; the competitive landscape of frameworks, standards and nomenclature; and the practical implications for enterprise architects, CIOs, AI governance leads, risk officers and transformation executives navigating real AI deployments.
This is practitioner-oriented research. Field notes precede working papers. Working papers precede empirical studies. All contributions are open for challenge and collaboration.
Document Status — Field Notes · Series: AI Integrity Management, Paper 4 This is a field notes paper: a structured conceptual contribution grounded in direct practitioner observation, prior to the …
Document Status — Field Notes · Series: AI Integrity Management, Paper 3 This is a field notes paper: a structured conceptual contribution grounded in direct practitioner observation, prior to the …
Document Status — Field Notes · Series: AI Integrity Management, Paper 2 This is a field notes paper: a structured conceptual contribution grounded in direct practitioner observation, prior to the …
The article presents The Integral Management Society as the independent Swiss non‑profit that formally hosts Tegrity.AI’s Cross Domain Framework for Regime Awareness and Systemic Integrity; as the institutional custodian of this long‑term fieldwork in AI Integrity, carrying forward a trajectory that began with Nokia engineers and then evolved through mission‑critical logistics, industrial operations, fleet control, supply chains and explainable decision systems across multiple jurisdictions