There’s no mistaking that AI is here to change how we do things. You’d be forgiven for feeling that the pace of announcements of new models, services and apps is giving you whiplash. We’ve established an innovation group at Kiandra to test a variety of AI services to see how they can improve how we do things or offer more value to our clients. While overwhelming at times, we’re discovering value in all aspects of how we do our work.
In the past, I have quipped that my career was spearheaded due to above-average skills in PowerPoint, and until now, it has barely seen a contender to knock it off the podium of deck creation. Gamma has emerged as a quality opponent, but in my opinion, for advanced PowerPoint users, it’s not quite a full replacement. PowerPoint with Copilot and Designer now serves similar AI magic.
The trade-off with Gamma is that it's much easier to use and strips away the features that most people would rarely use in PowerPoint. We recently put it to the test with a presentation on the outcomes of some of our analysis with a client and created a presentation in 20 minutes. We estimated it would have taken around 2 hours to manually create a similar quality in PowerPoint.
By doing this you will see what benefits you can gain from Gamma and decide if it is time to make the switch. For me though, I am sticking with PowerPoint for now.
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.
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.