Writing

Architectural perspectives on governed AI systems, trust architecture, and production reality.

• 2026-05-01

  Beyond Retrieval: Architecting the Trust Layer for Enterprise AI

  RAG is a solved retrieval problem and an open trust problem. Four silent production failure modes — and the trust architecture designed to contain them.

• 2026-04-08

  From Model Accuracy to System Accountability

  Most AI systems don't fail because the model is wrong. They fail because governance was never engineered into the system.

• 2026-03-15

  AI Architecture for Regulated Missions: The Production Execution Sequence

  Knowing what a governable system requires is not the same as knowing how to build one. The production sequence every regulated AI program must follow — and the dependency structure that makes skipping stages expensive.

• 2026-02-10

  AI Governance as a Systems Architecture Problem

  Governance without technical implementation is documentation theater. Observability, reproducibility, approval gates, and auditability are not policy properties — they are architectural ones.

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