Work
The Trust Layer Series
A progressive architecture series exploring how governance and operational control evolve from governed ML to RAG, agentic reasoning, and autonomous orchestration.
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Trust Layer for Multi-Agent Orchestration
Orchestration
Capstone of the Trust Layer portfolio. Extends governance from retrieval and reasoning into autonomous orchestration, where specialized agents operate under delegated authority, bounded trust policies, and auditable control planes.
agenticmulti-agentgovernancefederalmcp -
Trust Layer for Agentic AI
Reasoning
Governed agent architecture for federal compliance workflows, instrumented against NIST AI RMF, NIST AI 600-1, OMB M-24-10, and NIST 800-53 Rev. 5. Governance artifacts — trust ledger, risk matrix, runtime decision record — checked in before a single line of agent code is written.
agenticgovernancefederalnistevaluation -
Trust Layer for Enterprise RAG
Retrieval
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.
raggovernancefederalguardrailsevaluation -
Responsible MLOps Risk Engine
Predictions
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.
mlopsgovernancefairnessnistfederal
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