What's Actually Worth Automating With AI (And What Isn't)
Not every manual task is worth automating with AI, and not every AI automation project pays for itself. Here's how to tell the difference before you build one.
359+ Worldwide Trusted Clients
Bad software rarely starts with bad code. It starts with a decision nobody senior enough was in the room to make. I'm the person founders and growing businesses bring in before that happens, or to fix it after it already has.

7+
Years of Experience
Building production software since 2019
800+
Projects Delivered
Web, SaaS, and enterprise systems shipped
Lead
Software Engineer
Leading engineering at GrainX, Australia
Founder
Agilo IT
Software consultancy & product development
Co-Founder
Syrona IT
Company behind Servero.io tracking platform
Global
Clients
Working across Australia, Europe & Asia
Services
From the first architecture decision to the infrastructure that keeps things running, this is the work that most often brings a business to this conversation.

Discovery
Understanding the actual problem before any technical decision gets made.
Architecture
Designing the technical foundation for where the business is going.
Development
Building in visible, reviewable iterations.
Quality Assurance
Testing that matches the risk profile of what's being built.
Deployment
Production releases handled with the same care as everything before them.
Growth & Support
Staying involved as the business, and the software, keeps evolving.
Core Principles
Great software is built on thoughtful decisions, not just technical skill. These principles apply to every engagement, from the first conversation to long-term product growth.
Every architectural decision starts with the business objective, not the most interesting technical approach. The right tool is the one that serves the business, not the one that's most exciting to build with.
Strong foundations reduce technical debt and let software evolve without expensive rewrites later. Time spent designing correctly upfront saves months of rework.
Technical decisions need to be understood by everyone they affect, not just the people who made them. Clarity between founders, designers, and engineers produces better products.
Maintainability, performance, and scalability get considered from day one, not added later once they've already become a problem.
Success isn't measured by what shipped. It's measured by whether the software kept solving the business problem after launch.
Every release is a chance to learn and improve. Good engineering treats that as a discipline, not an afterthought.
Technical Expertise
Technology choices get made based on business requirements, not trends. Every tool below has shipped in a real production environment.
Frontend Engineering
Designing fast, accessible and scalable user interfaces.
Backend Technology
Building secure APIs and scalable business logic.
Cloud Infrastructure
Deploying reliable, secure and scalable production environments.
Data Engineering
Designing efficient and scalable data architectures.
AI & Automation
Building intelligent workflows and AI-powered business solutions.
Architecture & Leadership
Leading engineering teams and designing scalable software systems.
Let's Work Together
Whether you have a project in mind or just want to talk through a problem, I'd like to hear about it.
From the Blog
Practical lessons on architecture, engineering leadership, and the decisions that make or break a technology investment.
Not every manual task is worth automating with AI, and not every AI automation project pays for itself. Here's how to tell the difference before you build one.
Most growing companies don't actually need a full-time CTO yet. Here's how to tell what you actually need before you make an expensive hire.
A practical framework for deciding whether your software needs a full rebuild or a targeted refactor, before you spend the budget on the wrong one.
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