Put AI to work, from the boardroom down.
CMT Group helps businesses adopt AI with confidence: executive training, custom AI solutions that genuinely lift productivity, and hands-on training for your teams.
- L3 · LeadershipExecutive AI training
- L2 · Your teamsTeam-based training
- L1 · Your systemsCustom AI solutions
- Project
- CMT Group
- Drawn by
- Fergus James
- Status
- Taking on new engagements
- Experience
- 12 years in SaaS · Solution Architect · Professional Services Director/VP
Plain-speaking help, real results
Engagements typically run 6 weeks to 6 months. I work hands-on: in the codebase, in the leadership meeting, wherever the problem lives.
Executive AI Training
A clear-eyed briefing for leadership teams: what AI can and can't do for your business, where the risks sit, and how to decide what to back first.
Custom AI Solutions
Purpose-built AI that genuinely increases productivity: connected to the systems you already run, tested with your people, and measured on hours saved.
Team-Based Training
Hands-on sessions that get your teams using AI well in their actual work, with the guardrails and habits that make it stick.
Some of the world's biggest banks and brands
Over twelve years of in-house and consultancy roles means I have had the pleasure of working with some of the toughest and most demanding businesses in the world. From tech, to energy, to finance, there is no project too big or too small.
Banking & Finance
- ANZ
- Commonwealth Bank
- Westpac
- NAB
- Standard Chartered
Tech & Consulting
- Microsoft
- Capgemini
- Cognizant
- Nutanix
- NetSuite
Brands & Beyond
- Petronas
- Breville
- Nike
- BMF
…and plenty more besides.
Notes from the field
About
I spent twelve years building and fixing technology inside banks, tech companies and consultancies, as an engineer, an architect, and a leader. Now I work independently, for businesses that need someone who can see the whole board.
Most consultants hand you a deck and leave. I stay until the thing actually works: pairing with your team, challenging your roadmap, and leaving you stronger than I found you.
- Cloud Architecture
- Machine Learning
- Product Strategy
- Engineering Leadership
- FinOps
- DevOps & Platform
- Data Engineering
- Agile at Scale
A simple, honest process
Diagnose
One to two weeks embedded with your team. I read the code, sit in the meetings, and find out what's really going on, not what the slide deck says.
Decide
A short, sharp set of recommendations with trade-offs made explicit. You'll know exactly what I'd do, what it costs, and what happens if you don't.
Deliver
I stay to execute: hands-on, alongside your team, with success measured in shipped outcomes rather than billable hours.
Things people ask
What does an engagement cost?
I price by engagement, not by the hour. You'll know the number before we start, and there are no surprise invoices. Short diagnostics sit at the affordable end; bigger transformations get scoped together, openly. The budget options on the contact form will give you a feel for the ranges.
Where do you work?
Anywhere. A good half of my work is remote, for clients in Sydney, interstate and overseas, and I'm on site when the work needs it. Good delivery habits travel just fine over a video call.
How does an engagement actually start?
Usually with a short, paid diagnostic: one or two weeks embedded with your team, reading the code and sitting in the meetings. You get honest findings and a plan you can run with or without me. No lock-in, no land-and-expand games.
Are you hands-on, or advice-only?
Hands-on. I write code, build the dashboards, sit in the standups, and negotiate with the vendors. The deck-and-disappear model is exactly what I left the big firms to avoid.
We already have an IT provider. Is that a problem?
Not at all. I'm usually the bridge, not the replacement. I help you ask your existing providers better questions, hold their work to a standard, and make them more useful. Good vendors tend to like having me around; the other kind tell on themselves.
What size business do you work with?
Everything from owner-operators to enterprises with 120-strong engineering teams. The sweet spot: businesses big enough to feel real technology pain, small enough to actually move once we've found it.