Whether you run a growing business or lead technology at an enterprise, the challenge is rarely the tools. It's knowing which ones to use, in what order, and for what. That's the conversation I have every day.
You're not behind. You're just missing a clear starting point. A 20-minute conversation will give you one.
Book a Clarity Call →Most early AI efforts fail for the same three reasons. Let's look at what you've built and find out which one it is.
Let's find the gap →No pitch. No vendor angle. Just a straight conversation with someone who has built production AI systems and advised at board level.
Have that conversation →With 20+ years in enterprise technology, I have led large-scale digital transformation programs as a Senior Solution Architect, working across financial services, mining, government, and healthcare. In recent years I turned my focus to Generative AI, building CodeGenesis Pro from scratch and more recently an autonomous deployment agent that provisions cloud infrastructure through conversation.
That background shapes everything I do. When I sit across from a leadership team and tell them which architecture decision will cost them six months, I know because I have made that mistake myself and debugged it at 2am.
I am not a vendor. I have no product to push. My only interest is helping organisations move from AI curiosity to AI that works, in a way their teams can sustain long after I leave the room.
I work with enterprises and ambitious startups across financial services, mining and resources, government, professional services, and growth-stage technology. Engagements are remote-first, and I travel for the right programme. If you are trying to figure out where AI fits in your organisation, I would genuinely enjoy that conversation.
Start a conversationThe tools are ready. The budgets are often allocated. What is missing is someone who can walk into a leadership meeting, cut through the noise, and say with confidence: here is what you actually need, here is the sequence, and here is what it will cost you not to move.
That is what I do. I am not a vendor. I am not an evangelist. I am a practitioner with 20+ years of enterprise delivery behind me, who has spent the last several years building with AI tools in production, learning what works and what the documentation quietly skips past.
I bring that to your organisation, and I translate it into decisions your board can understand and your teams can execute.
20+ years of enterprise delivery. A production-grade AI platform delivered to real clients in regulated sectors.The hard lessons that only come from building production systems under real constraints - and debugging at 2 AM when something breaks and a client is waiting. This is what I bring to every engagement.
I help organisations move from "we should be doing something with AI" to "here is our first working system." For small businesses that means practical automation and workflow tools. For enterprises, that means architecture decisions, governance, and production-grade systems that hold up under real load.
Building and debugging multi-agent systems that actually work in production, not just in demos. I understand when open-source orchestration frameworks are the right call, when cloud-native agents serve better, and how to make the two work together without creating a maintenance burden your team cannot carry.
Helping large organisations build AI governance, select evaluation frameworks, manage cost at scale, and structure their AI teams so the investment pays off past the first proof of concept. Done on programs with real budgets and real accountability, not on paper.
Creator of CodeGenesis Pro, a Generative AI-powered platform built from scratch and delivered to mining and financial services clients in Australia. This is the kind of first-principles experience that only comes from building something real - including the uncomfortable lessons around cost, reliability, and what happens when real users arrive.
Delivered to mining and financial services clients in Australia. A production-grade platform built with real cost constraints and real reliability requirements - the kind of product that only gets built by someone who has lived the problem it solves.
"I would stake my reputation on the fact that once you see a demonstration and understand the material reduction in time and cost for your business, you will be embracing this tool. Arthur C Clarke once said, 'Any sufficiently advanced technology is indistinguishable from magic.' I know that is the case with CodeGenesis Pro."
"Our legacy monolith had zero documentation. With our lead developer about to walk away, we stood to lose decades of institutional knowledge. CodeGenesis Pro captured the why behind design decisions and revealed critical dependencies we never knew existed."
"When our key developer announced retirement, we faced a triple threat: loss of vital business logic, hidden dependencies, and a support team flying blind. Incident resolution dropped from days to hours, and our team now runs independently."
"After multiple failed attempts to document our extremely complex systems, we turned to CodeGenesis Pro and it changed everything. For the first time, we had crystal-clear, accurate documentation that mapped exactly what our code does."
"This powerful tooling provides benefits at all stages of the delivery lifecycle. It enables strategy and sizing for legacy application replacement, automatically produces discovery materials saving months of manual effort, and provides insights to assess downstream risk."
"This can not only significantly save time and costs but produce outcomes with a level of quality and granularity that is humanly not possible. A fantastic use case for leveraging Gen AI."
A career built across financial services, mining, government, and healthcare, spanning multiple continents. Progressed from developer to Lead Architect on programs where the stakes were real and the margins for error were not.
From ERP modernisation to cloud migration to data platform overhauls, each program carried board-level visibility and cross-functional teams. Delivered all seven. Learned something irreplaceable from each one.
Completed MIT's program in Designing and Building AI Products and Services, then did what most people stop at: actually built one. CodeGenesis Pro went from idea to production tool used by paying enterprise clients.
Designed and built a multi-agent system that provisions cloud AI infrastructure through conversation. Not a prototype. A working system that handles requirements gathering, planning, code generation, validation, and human approval in a single workflow.
Working with clients across financial services, mining, government, and growth-stage businesses - helping leadership teams and business owners move from AI curiosity to AI that actually works in their operation.
The measure of a leader is rarely the work they do themselves. It is the environment they create for others to do their best work. These awards were given to teams I had the privilege of leading - the conditions that made those teams perform are the same conditions I help organisations build today.
Whether you run a team of 10 or lead technology at a thousand-person organisation, the first question is always the same: where do you start? Here's how I help you answer that and everything that comes after it.
Most small business AI journeys start with a tool someone read about on LinkedIn. They rarely start with the right question: which part of my operation costs the most time and could AI change that? That's where we begin.
Early AI experiments fail for predictable reasons: wrong tool, wrong problem, no structure. It doesn't mean AI doesn't work for you. It means you started in the wrong place. Let's find the right one.
Most AI proofs of concept fail the moment they leave the demo environment. The jump from sandbox to real users requires architecture decisions most teams have never had to make before.
Token consumption in production behaves completely differently from development. Without the right monitoring, guardrails, and architecture choices, surprise bills are the norm not the exception.
Practical engagements designed for business owners, operations leaders, and teams who want AI to solve real problems, not generate slide decks.
A focused 2 to 3 day engagement. We map your operation, find the two or three places AI will make the biggest difference, and leave you with a specific plan you can act on immediately. No fluff. No slide deck. A real answer.
LOWEST COMMITMENT · FASTEST RESULT
Start here →A structured engagement where we work through your actual workflows together. Where is time being lost? Where are staff doing repetitive work that an AI agent could handle? I build the business case with your real numbers, not vendor promises.
IDEAL FOR: OPERATIONS LEADERS AND BUSINESS OWNERS
Talk about your operation →A half or full day session for your team. We cover what AI tools actually do, which ones are worth using in your context, how to use them safely, and how to build consistent habits. Practical exercises. Nothing theoretical.
IDEAL FOR: TEAMS STARTING TO USE AI TOOLS
Book a workshop →Senior advisory for CTOs, CIOs, and technology leadership teams navigating architecture decisions, governance, and production AI at scale.
Working alongside your architecture and leadership teams over weeks or months. I bring the depth of someone who has built these systems and the perspective of someone who can translate it for every level of your organisation - from the terminal to the boardroom.
IDEAL FOR: ORGANISATIONS MID-TRANSFORMATION
Discuss your programme →A half-day or full-day session for leadership teams who need to make AI investment decisions without becoming technical experts. Covers real risks, competitive consequences, and what your peers are actually doing - not what vendors are telling them.
IDEAL FOR: BOARDS AND C-SUITE AHEAD OF AI INVESTMENT
Invite me to speak →A hands-on 2 to 3 day workshop where your engineering team moves from theory to working code. Agent architecture, RAG pipelines, evaluation, cost management. Teams leave with something built - not just notes from a slide deck.
IDEAL FOR: ENGINEERING TEAMS BUILDING PRODUCTION AI
Build with your team →A focused 2 to 3 day senior engagement. We assess your current state, identify the highest-value use cases, make the tool and architecture decisions, and leave your leadership team with a sequenced roadmap they can execute with confidence.
IDEAL FOR: LEADERSHIP TEAMS BEFORE COMMITTING BUDGET
Request a sprint →Know exactly which AI bets to make first - and which ones to skip entirely.
Stop restarting. Start shipping things that hold up under real conditions.
Decisions backed by someone who has built these systems, not just read about them.
Cost controls, safety guardrails, and evaluation frameworks in place before they become urgent.
The best conference sessions I have attended leave the audience with something they can act on the following Monday. That is the standard I hold my own sessions to.
I speak to leadership teams, developer communities, and mixed enterprise audiences, and I adapt the technical depth to the room. The message is always the same: AI is not a strategy. Knowing how to implement it is.
The terminology is everywhere. The clarity is not. This session gives technical and business audiences a shared vocabulary and a framework for identifying genuine agentic opportunities in their organisations.
Not a product pitch. A practitioner's assessment of where the platform genuinely excels, where it needs workarounds, and how to make the right architecture decisions from day one.
A comparative, code-backed look at two leading agent frameworks. When to choose which, how they complement each other, and what production deployments actually look like.
The most common story in enterprise AI right now. This session names the exact failure modes, architecturally and organisationally, and how to break the cycle.
Designed for boards and leadership teams who need to make investment decisions without wanting to become technical experts. Practical, honest, and action-oriented.
A proprietary five-stage model for organisations navigating from AI curiosity to production deployment, covering readiness, architecture, build, evaluation, and scale.
A five-stage model for organisations ready to move beyond the proof of concept and build AI systems that hold up under real conditions.
One agent looks like a productivity win. Ten unevaluated, unmanaged agents look like the next audit finding. A platform is what turns a proof of concept into a capability you can scale, govern, and defend in front of a board or regulator.
Stack is Microsoft-anchored, cloud-neutral on the layers. The specifics are the engagement.
A Gartner survey of 360 organisations (fielded Q2 2025, published February 2026) found that enterprises deploying dedicated AI governance platforms were 3.4x more likely to achieve high governance effectiveness than those relying on manual processes.
Whether you're a business owner who's not sure where to start, or a CTO who needs a senior voice in the room - the first conversation is always the same. No agenda, no pitch. Just a straight conversation about what you're dealing with and whether I can help.
If I can help, I'll tell you exactly how. If I can't, I'll point you to someone who can. Either way, you leave with more clarity than you arrived with.
Engagements are remote-first. Open to travel for the right programme.
Takes 2 minutes. I read every message personally and reply within 24 hours.