/ Service
An agent is only as useful as the tools it can safely reach. Tool access is also where the security and reliability questions actually live — so it belongs in a shared pattern with guardrails and observability at the boundary, not reinvented per application.
/ What this covers
/ Evidence
Internal platform · Paved path
I built the Dev Harness: an internal paved path for enterprise AI delivery. It packages reusable application templates, deployment automation, MCP and tool-integration patterns, security guardrails, evaluation workflows, observability and CI/CD so an AI application starts from a supportable baseline instead of an empty repository.
Grounded assistant · Procurement
Designed and productionised a grounded enterprise Procurement assistant on Azure AI Foundry, using LangGraph for orchestration, ChatKit for the interface, PGVector for retrieval and integrations with MCP servers. Answers stay grounded in trusted enterprise documents, and the architecture was standardised into a reusable reference implementation.
Read the Enterprise Procurement Knowledge Assistant case study
/ Related services
ReAct agent architectures and grounded assistants, with tool access, guardrails and evaluation designed in.
Paved paths and internal platforms so AI applications start from a supportable, governed baseline.
Evaluation sets and retrieval tuning that make assistant accuracy and grounding measurable over time.
The operating model — identity, approvals, usage and cost controls — that lets AI scale past pilots.
/ Next step
Open to full-time Senior–Staff AI / agent platform roles (remote-friendly), as well as contract and consulting engagements. Response within two business days.