The feedback from our clients over the years and our blatant dedication to agile, led us to a simple question – why not expand what we already do internally and share this capability with clients?
This is when we decided to ‘package’ our expertise to offer Agile, Lean and Kanban Services in two forms: to build in-house capability and training for clients and, to help recover, or supercharge (!!) a project.
The wonderful thing we have really learned working so closely with agile, is that this way of working can be applied and easily personalised for many different teams and projects. What is especially of interest to me, is that unlike many agile projects, the deliverable doesn’t always have to be working software.
The deliverable could be business-as-usual tasks that are required to support other projects, or it could be used to help rollout training or communications. It could even be used to optimise workflows for scientists – in fact, any profession that works with other people to transform inputs into value.
Recently, we were able to apply our knowledge to the research community at University of Melbourne. Our agile services both helped set up a team of 20 PhD students for project management success, and also acted as professional development training for the research community’s manager.
This was an especially fulfilling outcome, as we worked very closely, and to see the community adopt agile and lean practices with such rigour was a very proud moment.
The University of Melbourne work was one of our first fully fledged Agile, Lean and Kanban Services engagements. We’ve had the opportunity to work on more since, which has not only shown us more ways agile can be applied but that we were right to trust our instinct to share our internal methods.
Modernising legacy systems is one of the most critical and complex challenges facing today’s IT leaders. Whether you're in government, finance, or education, the pressure to replace ageing infrastructure with agile, user-friendly, cloud-based platforms is real.
Choosing a software development partner has always been a critical decision but when AI enters the mix, the stakes get even higher. You’re not just hiring a team to write code. You’re trusting them to help you navigate emerging technologies, manage risk, and deliver long-term value with tools that are still evolving.
Legacy systems are becoming increasingly costly to maintain and dangerously slow to adapt. As customer expectations grow and compliance requirements shift, traditional software development methods can’t keep up. AI-assisted development offers a new path forward, accelerating modernisation without compromising quality.
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