At Kiandra, we’ve used low-code to deliver enterprise-grade platforms in complex, regulated environments - like WA Health’s invoicing system, which we rebuilt in just five months using OutSystems. Based on that experience, here are the five biggest myths we see holding leaders back, and why it’s time to leave them behind.
This is one of the most persistent myths - and one of the easiest to disprove.
Leading low-code platforms like OutSystems and Microsoft Power Platform are built with enterprise security in mind. They offer built-in encryption, role-based access, audit trails, and are certified to meet global compliance standards including ISO 27001, SOC 2 and HIPAA.
At Kiandra, we build software for government departments, hospitals and insurers. Security, privacy and compliance aren’t optional - they’re the baseline. With the right implementation, low-code meets and often exceeds those requirements.
Low-code can absolutely be used for simple apps - but that’s just scratching the surface.
Today’s platforms support complex workflows, deep integrations, rules engines, legacy system replacement, and highly customised interfaces. In fact, many of our most advanced builds at Kiandra have been low-code.
Take WA Health: we rebuilt a critical billing platform processing over a thousand medical contractors, integrated with both Oracle Fusion and WebPAS, and embedded financial governance rules - all on a low-code foundation.
The idea that “real developers” don’t use low-code is fading fast - especially as demand grows for faster delivery in high-stakes environments.
Experienced devs love low-code when they see how much time it saves on repetitive tasks, front-end layouts, and integrations - freeing them to focus on complex logic and domain-specific problems.
At Kiandra, we blend low-code expertise with deep engineering experience. We choose the right tool for the job, and when low-code is the right tool, we use it to deliver faster without compromising quality.
Vendor lock-in is a valid concern with any technology, but low-code doesn’t necessarily mean being stuck.
Many modern platforms allow you to export code or API integrations, and because low-code is built on standard architectures (like .NET or Java), future migration paths are available - especially if you’ve worked with a partner who understands long-term lifecycle planning.
We’ve helped clients future-proof their investment by building with flexibility and data portability in mind from the outset.
Not only is this untrue - we’d argue the opposite is now true.
In regulated industries, the need for auditability, rules-based workflows, rapid delivery, and maintainability is acute. Low-code delivers all of these, and more, while still allowing customisation where needed.
WA Health’s CIO said it best:
“Low-code technology has enabled us to respond quickly to the required change and puts HSS at the forefront of application innovation.”
That project wasn’t an experiment. It was a mission-critical transformation in a high-pressure, compliance-driven context - delivered on time, and at a fraction of the legacy cost.
The real risk isn’t adopting low-code - it’s ignoring it while others move faster, modernise sooner, and deliver better user and citizen experiences.
At Kiandra, we don’t just implement platforms. We deliver working, business-critical solutions using the right technology for your needs, your industry and your budget.
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At Kiandra, we work closely with Product Owners to bridge the gap between their organisation’s needs and our delivery team’s technical expertise. This collaboration is crucial for keeping the project aligned to business goals, managing scope effectively, and ensuring value is delivered.
“How do we make sure our AI systems behave responsibly, not just accurately?” We get this question a lot. Usually after something has already gone a bit sideways. Here is the short answer: You build responsibility into AI from the very beginning. Guided by our B-Corp principles, we see responsible AI as a balance of purpose and effectiveness.
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.
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