AI Projects
I don't just advise on AI.
I build with it.
The best technology advice comes from people who build. These are AI products and frameworks I've designed and shipped — from governance tools for enterprise retailers to live consumer products and autonomous project management for startups.
AI Capability Matrix & Governance Framework
For retailers evaluating and adopting AI responsibly
The problem
Most retailers know they should be doing something with AI. Very few have a structured way to evaluate where it creates genuine value versus where it introduces risk. The gap between vendor promises and operational reality is wide.
What I built
A structured capability matrix that maps AI use cases against business readiness, data maturity, and governance requirements. Paired with a governance process that gives leadership teams confidence to move forward without exposing the organisation to regulatory or operational risk.
How it works
- AI use case scoring framework mapped to retail operating model
- Data readiness assessment across customer, product, and operational domains
- Governance process covering model risk, bias monitoring, and compliance
- Board-ready reporting templates for AI investment decisions
The outcome
Gives retail leadership teams a clear, defensible path to AI adoption — knowing exactly where to invest, what to defer, and how to govern what they deploy.
MyWealthTracker
AI-powered digital financial advisor
The problem
Australians navigating financial decisions face a fragmented landscape of tools and advice. Most digital finance tools are either too simplistic to be useful or too complex to be accessible. Professional financial advice is expensive and hard to access at scale.
What I built
A full-stack AI financial advisor built on current Australian tax law, superannuation rules, and financial planning frameworks. It provides personalised, regulation-aware guidance that adapts to each user's situation — not generic calculator outputs.
How it works
- AI reasoning engine trained on current Australian financial legislation
- Personalised advice generation across super, tax, investment, and insurance
- White-label platform enabling mortgage brokers and financial planners to offer AI-powered guidance under their own brand
- Lead generation engine that qualifies prospects before they reach a human advisor
The outcome
A live product serving real users, with white-label capability that turns financial advisors and mortgage brokers into AI-enabled practices — generating qualified leads while their clients get immediate, accurate guidance.
AI Project Manager for Startups
Autonomous project governance across departments
The problem
Startups and scale-ups move fast, but fast without structure means projects stall, scope creeps, and teams lose alignment. Traditional project management tools track tasks but don't enforce discipline. Hiring a full-time PM for every workstream isn't viable at this stage.
What I built
An AI project manager that integrates directly with ClickUp and Slack to provide real-time project governance, status tracking, and intervention across multiple departments. It doesn't just track — it actively manages.
How it works
- Deep integration with ClickUp for task, milestone, and dependency management
- Slack-native interface for team updates, blockers, and escalations
- Cross-departmental visibility — engineering, product, design, and operations
- Governance engine that flags scope drift, missed dependencies, and resource conflicts before they become problems
The outcome
Teams ship faster with less overhead. The AI PM enforces the discipline of a seasoned project manager across every workstream, without adding headcount — purpose-built for the pace and constraints of startup and scale-up environments.
Sally — Autonomous AI Practice Agent
AI infrastructure that runs a consulting practice
The problem
Solo consulting practices face a structural problem: the overhead of project management, context assembly, follow-up tracking, and client preparation consumes the same time regardless of firm size. What used to require a team of support staff either gets done slowly or doesn't get done at all.
What I built
An autonomous AI agent that operates as the operational backbone of my consulting practice. Sally lives in Telegram, manages project pipelines, scaffolds new engagements from a voice note, maintains persistent memory across every client interaction, and surfaces priorities before the first coffee. She doesn't wait to be asked — she operates continuously.
How it works
- Telegram-native interface accessible from anywhere — phone, laptop, watch
- Persistent memory that compounds across every engagement, conversation, and decision
- Voice-to-structure pipeline: a single voice note becomes structured notes, task breakdowns, and routed follow-ups
- Autonomous project scaffolding — "new project" creates a repo, board, and environment in seconds
The outcome
A solo consulting practice that operates like a product company. Clients get senior thinking with the responsiveness of a team — without the team. The gap between conversation and structured deliverable is hours, not days.
Why this matters
Advisors who build give better advice
When I advise a retailer on AI readiness, I'm drawing on the experience of having built and shipped AI products myself — not just evaluated other people's. When I assess whether an AI vendor's claims are credible, I know because I've built similar systems from scratch.
This hands-on capability is what separates practical advice from theoretical frameworks. Every project here involved real users, real constraints, and real decisions about where AI creates value and where it doesn't.
Building AI capability or evaluating where to start?
Whether you need a governance framework, a hands-on AI build, or just a clear-eyed assessment of what's possible — I've done all three. Let's talk about your situation.