Kiandra Insights

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.

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.

Travel businesses need systems that do the work with faster quotes, smarter pricing, and better traveller experiences. We’ve mapped the common travel challenges in the industry, and exactly how AI can solve them.

AI isn’t some futuristic toy we’re tinkering with on the side. It’s already woven into the way we get work done at Kiandra. Whether it's helping sift through mountains of invoices or modernising stubborn legacy code, we’re using AI to tackle the headaches that come with real-world software delivery.

As a Software Delivery Team Lead, I’ve experienced firsthand how our strength lies in pairing deep technical expertise with a culture that genuinely values people. We’re not here to chase hype. We’re here to build things that matter, with teams that are empowered, curious, and supported.

When you’re delivering software for government, there are no shortcuts. Security isn’t a feature. It’s a non-negotiable. At Kiandra, we work with government departments where privacy, compliance, and performance must co-exist – from health records to social services.

The logistics industry is moving fast - digitally, operationally, competitively. And while you’re still double-handling data or manually generating paperwork, your competitors are automating their way past you.

At Kiandra, we use AI tools every day to speed up delivery, improve quality, and help our team focus on the work that really matters. AI is a teammate, not a threat. Think of AI like a calculator for coding. It doesn’t replace expertise, it removes the repetitive work so developers can focus on logic, architecture and real-world problem-solving. 

Global demand is growing. Costs are rising. Customers want more for less, and regulators want it cleaner, faster and fully compliant. But many logistics organisations are stuck with legacy systems, manual processes and disconnected data that slow everything down.