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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The 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 -
The Trust Layer for Enterprise Agentic AI
Reasoning
Governed agentic AI architecture for federal compliance workflows — a LangGraph state machine instrumented against a trust ledger, with policy enforcement at every tool boundary, evidence lineage on every retrieved item, and a hard human approval gate before any assessment artifact is released. The governance framework is the deliverable. The agent is the proof it works.
agenticgovernancefederalnistevaluationlanggraph -
The Trust Layer for Retrieval Systems
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.
mlopsgovernancefairnessnistsagemakerfederal
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