war851/AI-Governance-Architecture

Claude Code best practices -- applied to application design. Interactive HLD/LLD visualization, implementation example. LLM-agnostic, DB-governed, GDPR-ready.

47
/ 100
Emerging

This architecture helps operations engineers, product managers, or data governance specialists design and manage AI applications where the process steps and data flow are rigidly controlled. It takes your business requirements and desired data transformations as input, and outputs a robust, auditable application design that ensures your AI follows predefined rules, rather than improvising. This approach is ideal for anyone needing to demonstrate compliance and control over how AI systems operate.

Use this if you need to build AI applications that are auditable, compliant with regulations like GDPR or the EU AI Act, and where the exact process steps and data handling must be explicitly defined and followed.

Not ideal if your AI application requires a high degree of autonomous decision-making or unpredictable exploration, as this architecture prioritizes strict governance and predefined workflows over AI improvisation.

AI-governance regulatory-compliance data-lineage process-design risk-management
No Package No Dependents
Maintenance 10 / 25
Adoption 8 / 25
Maturity 11 / 25
Community 18 / 25

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Last pushed

Feb 28, 2026

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