Kiandra Insights

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.

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.

In transport and logistics, most operators don’t need to be sold on the benefits of AI, they just need a clear path to making it work. This blog post outlines the most common challenges we see across logistics businesses, and how AI, when implemented correctly, can solve them and improve performance.

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 and transport industry is under more pressure than ever: rising costs, tighter delivery windows, and growing compliance demands – all while customer expectations keep climbing.

AI is no longer a nice to have in education platforms. It’s the difference between legacy software that holds you back and modern systems that scale access, improve student experience and reduce cost. This guide shows how education leaders and EdTech teams can modernise faster using a combination of AI-assisted development and low-code tools, without compromising on quality, compliance or control.