AI & Automation Consultant · Certified Management Consultant · 12+ years strategy + build
Most people who call themselves AI consultants can show you a slide deck. I can show you systems I've shipped — AI agents, self-hosted automation infrastructure, and human-in-the-loop workflows running real business processes. I work AI-augmented: I architect, review and ship fast because I pair deep solution judgement and op-sec with modern AI tooling. Outcomes are the proof. Below are short walkthroughs — each covers the problem, what got automated, where the human stays in control, and the stack.
Setting up a new client's automation environment meant hours of manual server, security and software setup — slow, and every manual step is a chance to get something wrong.
A tool that builds the entire environment automatically from a single setup file — one command instead of a checklist.
A full day of setup collapses to minutes — identical every time, with security built in from the start.
Teams want AI to handle incoming requests, leads and tickets, but can't risk it sending the wrong thing to a customer on its own.
A workflow where AI reads each request, sorts it, and drafts the reply — then stops and waits for a person to approve, edit or reject before anything goes out.
The repetitive reading and drafting is automated; a human keeps the final say — saving hours of triage a week without losing control.
People make decisions off dashboards every day — but a dashboard is only as trustworthy as the maths behind it, and most can't show that the maths is correct.
A live tracking dashboard with the key numbers up top, and an automated test suite that checks every calculation behind them.
Decisions made on numbers that are verified, traceable and trustworthy — not just numbers that happen to look right.
For many organisations the blocker to using AI isn't capability — it's that they can't send sensitive data to an outside AI service.
Custom AI agents that complete real multi-step tasks, running on an AI model hosted locally — plus deliberately limited access, so an agent can only do what it's allowed to.
The same AI capability, but the data never leaves the building — AI you can put in front of a compliance team.
Before the AI builds, the discipline. The same process mapping, requirements (BRS), UAT/production rigour, regulatory delivery and senior-stakeholder engagement is exactly why my automation ships and survives in production — not just in a demo.
A major bank had overlapping trading systems and complex tax-reporting obligations spread across many business units — costly, risky and hard to manage.
Merged three trading systems into one, moved core financial data onto a single modern platform, and automated regulatory (FATCA/AEOI) reporting across five business units — working with senior IT, finance and business leaders.
Lower cost, less duplication, and regulatory reporting that runs reliably — delivered through proper requirements, testing and production rollout.
During COVID, multiple government departments needed to understand how ready they were for new technology and the changing world of work.
Ran a Fourth Industrial Revolution (4IR) readiness assessment across several government bodies, plus feasibility studies, large-scale surveys and executive research reports.
Clear, evidence-based readiness findings and recommendations that senior public-sector decision-makers could act on.
Resume, references (including Australian referees), and a live walkthrough available on request.