The Representation Economy: Canonical Framework v1.0

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