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.
When working with clients in the earliest stages of a project, speed matters. The faster we can turn ideas into something visual, the sooner we can test assumptions, get feedback, and align on a direction. That’s where product ideation tools like Lovable come in.
AI is reshaping how software is built, used and maintained but most organisations aren’t starting from scratch. They’re working with what they already have: legacy platforms, off-the-shelf SaaS, or custom tools that still perform core business functions.
When projects succeed, it’s rarely by accident. Clear, accurate requirements are the foundation of great software but they’re also the part most prone to misunderstanding. At Kiandra, we use AI prototyping and a multiple LLM workflow to make this step faster, more accurate, and more collaborative.
Whether you’re curious about custom software or have a specific problem to solve – we’re here to answer your questions. Fill in the following form, and we’ll be in touch soon.