Our Way of Working


Our Way of Working across consulting,  application development and managed services is the product of years of research and hard-won experience delivering working software for clients.

More than a set of guidelines, it’s a set of behaviours and accepted wisdom from our shared experience and research.

Patient Zero’s unique Way of Working brings together the best of modern development frameworks to deliver software solutions that solve real business problems.

Our Way of Working is Backed by

Research & Experience


01

Backed by research

We’ve drawn on the expertise of publications, guides and frameworks from industry leaders

02

Driven by experience

Our experience means that we shape industry best practice to ensure that it delivers working results for clients

03

tested in delivery

We’ve used our Way of Working to deliver multi-million dollar projects

04

continuously improving

Our teams are constantly refining and improving our Way of Working 


Case Studies


We're extremely proud of the work we complete for each and every client.

From enterprise clients all the way through to small businesses and startups, our focus has always been on providing positive results in the most efficient way possible. Our Way of Working paves the way for successful outcomes for each project.

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Our Latest Thinking


Patient Zero named triple finalist at ARN Innovation Awards 2025 for Technical Excellence, Marketing
October 27, 2025
Patient Zero named finalist in three categories at ARN Innovation Awards 2025: Technical Excellence, Marketing Excellence, and Enterprise Innovation. Learn more.
By Hanieh Madad September 29, 2025
At Gartner Gold Coast 2025, everything was about AI — automation, efficiency, disruption, predictions. AI, AI, AI. But in between all that noise, I found myself thinking about how I work, and how I’ve found working at Patient Zero. Some of the things they talked about, like trust, autonomy and team culture, are the things I’ve experienced here.
By Joe Cooney September 25, 2025
The Joy of Faking It - Reducing Security Risks in Legacy System Enhancement with Synthetic Data
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