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