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Governed Operations System

Independent consulting · delivered

A queryable operations knowledge library for a small-business client, with a human committing every change.

Stack

  • LLM orchestration
  • Conversation-corpus mining
  • Request routing
  • Controlled structure
  • Git-based tuning

For a small-business client, I built a governed-AI operations system: a layered private corpus surfaced through a single routed assistant that recommends actions while a human commits every change. The system architecture is my IP; client business content is confidential and not shown.

It mines unstructured conversation history into a structured, queryable library — voice profiles, decision rules, and records organized for retrieval by declared purpose — with a routing layer that surfaces the right part per request. It never persists or deploys autonomously: every update is a reviewed, human-committed step.

Confidential client work — the codebase and the client's business internals stay private. How I designed and stood up the system, though, we can absolutely discuss on request.