Designing Governed AI Systems That Earn Trust in Production
Governed RAG architecture for high-accountability compliance environments, incorporating trust boundaries, hybrid retrieval, evaluation discipline, and operational guardrails. Not a chatbot—a governed retrieval system.
GitHub →Governed MLOps architecture for regulated ML deployment, including fairness controls, CI/CD governance gates, model observability, and audit-ready documentation aligned to NIST AI RMF.
GitHub →RAG is a solved retrieval problem and an open trust problem. Four silent production failure modes — and the trust architecture designed to contain them.
Read article →Most AI systems don't fail because the model is wrong. They fail because governance was never engineered into the system.
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