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RMX.0

About — RM X.0

A Lean OperatorFor The AI Era

It’s not AI — it’s Engineered Intelligence, shaped by the ethical use of AI. Outcomes engineered to a standard, with AI as the material and governance as the guarantee.

[ 2007 → BEYOND 2026 ]

Two decades, one evolution.

Technology · delivery method · industry — scroll the line →

2007
SAP & enterprise systems
US Insurance & Annuities
2011
Core banking & integration
Banking
AgilePRINCE2ITIL
2014
IBM Maximo — asset management
Utilities & Water
2016
Microsoft Dynamics 365 — CRM
Retail & Government
2017
SAFe — Scaled Agile
Enterprise delivery
SAFe
2019
Program & transformation delivery
Superannuation & FMCG
2021
Identity & cyber-security — OKTA
Superannuation
2022
AI adoption begins
Government & Justice
Responsible AI
2025
RM X.0 — Engineered Intelligence
Founded
2026 →
AI-native, multi-model builds
What's next

RM X.0 is a lean AI operator  pairing built-environment domain depth with the delivery speed of modern AI, and leaving behind working systems rather than slide decks. 

in·tel·li·gence · /ɪnˈtɛlɪdʒəns/ · noun

The capacity to turn signal into decisive action.

  • — Outcome: clarity under complexity
  • — Outcome: motion that compounds
  • — Outcome: systems that outlive the brief

RM X.0 works with a small number of specialist Australian firms at a time — embedded, hands-on, and accountable for what actually ships.

◆ Who I Work With

CEOs & founders

Board-grade AI and technology strategy, delivered directly — as I did for the CEO and Chair of ATP Science.

Small business owners

Practical AI adoption that pays for itself — tools your team actually uses, not shelfware.

Engineering & built-environment firms

Surveying, design and planning practices — regulation and drawings turned into fast, reliable systems.

Specialist science & health suppliers

Technical drafting, documents and adoption for detail-heavy operators — e.g. ATP Science.

◆ The Story

It started with a film. As an engineering student I watched The Matrixand couldn’t let go of one question — could a machine really think? My final-year thesis was my first answer: an AI system, built two decades before the world caught up.

What followed were twenty years in the engine rooms of Australia’s most complex organisations — banking, superannuation, government, utilities, retail — running the programs that transform how they work, and learning first-hand why most transformation quietly fails: not the technology, but the gap between strategy and shipping. Then AI arrived in earnest, and the thing I’d imagined as a student became buildable — by one person, in days.

RM X.0 is where those two threads meet: two decades of hard-won judgement, wielding a modern AI stack. Most AI help is either generic consulting or tools nobody adopts. I work the opposite way — deep in the detail of your field, building the assistant, dashboard, document engine or site your team will genuinely use, and leaving behind a working system, not a slide deck. You work with me directly. No middle layer.

◆ What You Can Count On

Domain depth

Surveying, planning and compliance, understood in detail — not skimmed.

AI delivery speed

Working software in weeks, not quarters.

Australian & data-residency aware

Human-in-the-loop by design; you always know where your data lives.

Systems, not slideware

Every engagement leaves a working leave-behind that keeps earning.

◆ How I Work

01

Taste is a system

Instinct, codified into tokens, rules and motion — so quality holds on every build, not just the ones I'm watching.

02

Ship the spike

Bold, specific work beats safe averages. I build the version people remember.

03

Intelligence, embodied

AI isn't a feature bolted on — it's the material I design and build with.

04

Compounding craft

Every engagement leaves a system that keeps returning value long after launch.

Every project I take runs the same line: conceptworking systemcash flow. Where does yours start?

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