GOVERNED AI SYSTEMS · ADOPTION

From AI ambition to trusted systems

Most AI initiatives stall where governance starts. In these systems, the model proposes, deterministic code and a named approver decide, and every run leaves evidence.

EXPLORE SYSTEMS

AI systems portfolio projects

Build logic at scale. / 2026

Personal Agentic System

A portable, local-first agent workspace connecting specialized agents, channels, vector memory and local or cloud models.

AgentsTelegramVector memoryLocal models

README VERIFIED · AUTOMATED CHECKS · SEP 2026

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LOCAL-FIRST AGENT WORKSPACE01
LIVE SYSTEM MAP TRACE READY
Telegram / MCPIntent enters
Specialist agentPlan + draft
ObsidianProject context
ChromaVector memory
Human gateApprove write
CONTROL GATE
Save artifact
Return to draft
01Local models02Ollama embeddings03Permission boundary

01 / 06 · SELECT OR DRAG

TOOLS I BUILD WITH
FROM ARCHITECTURE TO ADOPTION

AI systems only matter when teams can operate them.

A practical operating model that connects business value, system design, responsible controls and team enablement.

01

Frame

Business value, user and constraint

EXPLORE STAGE 02

Design

Workflow, architecture and control

EXPLORE STAGE 03

Build

Prototype, test and observe

EXPLORE STAGE 04

Enable

Playbook, training, ownership

EXPLORE STAGE 05

Measure

Quality, flow, adoption

EXPLORE STAGE
FIELD NOTES / LATEST

Notes on AI systems

Practical notes on governing, measuring and scaling enterprise AI systems.

/01AI ADOPTION

What an AI Transformation Lead should measure beyond FTE savings

/02AI DELIVERY

Project Management in the AI Era: From Backlogs to Systems Orchestration

/03AI ENGINEERING

AI Engineering Is Systems Engineering: Building Resilient Agentic Systems

ABOUT / MJ

Transformation leadership, with technical depth.

7+YEARS ACROSS ENTERPRISE DELIVERY, TECHNOLOGY & AI
/01

Lead transformation

AI strategy, opportunity prioritization, governance and measurable adoption.

/02

Bridge business and engineering

Translating business needs into workflows, specifications, architecture and delivery plans.

/03

Build for real operations

Human controls, observability, documentation, training and production readiness.

EXPERIENCE ACROSS

Banking · Retail · Automotive · GenAI · Machine Learning · AWS · Enterprise Operations

VIEW CV LINKEDIN