What question did this study set out to answer?

This framework aims to explore the interactions of AI systems with enterprises, governance, and machine representations.

May 22, 2026Open Access

The Representation Economy: Canonical Framework v1.0

Key Points

This framework aims to explore the interactions of AI systems with enterprises, governance, and machine representations.
Introduces the SENSE-CORE-DRIVER architecture for AI governance.
Defines key concepts like representation economy and institutional intelligence.
Analyzes examples from banking, manufacturing, healthcare, and digital systems.
Establishes that AI transformation extends beyond mere model intelligence.
Highlights the need for institutions to develop accountability and legitimacy in AI governance.
Presents a detailed canonical architecture diagram to illustrate the framework.

Abstract

The Representation Economy: Canonical Framework v1.0 introduces a conceptual and institutional framework for understanding how artificial intelligence systems interact with enterprises, institutions, governance systems, and machine-legible representations of reality. The document proposes the SENSE-CORE-DRIVER architecture as a canonical framework for enterprise AI governance, institutional intelligence, governed execution, and representation-centric AI systems. The framework argues that the next phase of AI transformation will not be defined only by model intelligence, but by the ability of institutions and enterprises to:- sense reality,- structure representations,- reason over contextual systems,- govern execution,- maintain accountability,- and establish institutional legitimacy. This release includes:- Representation Economy definition- SENSE-CORE-DRIVER specification- Canonical architecture diagram- Enterprise AI governance concepts- Institutional intelligence framing- Key claims and strategic implications- Enterprise examples across banking, manufacturing, healthcare, and digital systems Keywords:Representation Economy, Enterprise AI Governance, Institutional AI, SENSE-CORE-DRIVER, Machine-Legible Reality, AI Governance, Institutional Intelligence, Representation Integrity, Governed Execution Author:Raktim Singh ORCID:0009-0002-6207-602X Website:https://www.raktimsingh.com GitHub Repository:https://github.com/raktims2210-dev/representation-economy https://doi.org/10.5281/zenodo.20315480

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Cite This Study

SINGH RAKTIM (Wed,) studied this question.

synapsesocial.com/papers/6a0ff412d674f7c03778d276 https://doi.org/https://doi.org/10.5281/zenodo.20315480

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