Upload README.md

README.md

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-title: README
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+title: Murray Love Code
+emoji: 🛡️
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+short_description: Open enterprise data agent governance resources
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-Edit this `README.md` markdown file to author your organization card.
+# Enterprise Data Agent Governance
+
+**Open resources for deciding when an AI agent may answer from enterprise data, when it must request clarification or defer, and what evidence an organization should retain.**
+
+This organization hosts the Hugging Face distribution of the Enterprise Data Agent Governance project. The current dataset contains 18 synthetic evaluation cases across three decision bands—`answer`, `needs_definition`, and `refuse`—alongside machine-readable controls, schemas, citation metadata, licensing, and a version-pinned Mnemiq evidence record.
+
+## Project resources
+
+- [Hugging Face dataset](https://huggingface.co/datasets/murraylovecode/enterprise-data-agent-governance) — evaluation cases and machine-readable governance resources
+- [Canonical GitHub repository](https://github.com/murraylovecode/enterprise-data-agent-governance) — code, schemas, project files, releases, and version history
+- [Public reference site](https://murraylovecode.github.io/enterprise-data-agent-governance/) — framework overview and practitioner guidance
+- [GitBook knowledge base](https://murray-love-code.gitbook.io/murray-love-code-docs/) — navigable implementation guidance
+
+## Scope
+
+The resources support governed enterprise-data-agent evaluation, refusal testing, control workshops, and reproducible implementation planning. The cases are synthetic and are not a substitute for deployment-specific testing, access controls, semantic ownership, data-quality checks, or human oversight.
+
+## Important disclosures
+
+This project is independently maintained by Murray Newlands as a personal practitioner resource. It is not official product documentation for Mnemiq or Agentic Fabriq and does not constitute independent certification or validation of any vendor. Mnemiq is included as a publicly inspectable worked case study. Agentic Fabriq develops and maintains Mnemiq, and Murray Newlands advises Agentic Fabriq.
+
+The framework is not legal, compliance, or security advice. Organizations must adapt its controls to their own risk, data, jurisdiction, and operating environment.