As every company gears up to offer their clients an Ai-Powered ‘thing’, it’s never been more critical for businesses to partner with people who understand the subtle nuances of designing for Ai. Throwing traditional UXers at projects that use Machine-Learning won’t be enough. What is essential is that you work with designers who understand the core concepts of data-driven design. You need a team who can unpack preconceptions about Ai and its capabilities, and align around best-practices for building and maintaining trust. Every stage in the ML lifecycle is ripe for innovation, from determining which models will be useful to use, to data collection, to annotation, to unique forms of prototyping and testing, which is why Us are the prime choice for this new world.
Ai-based systems won’t figure out what problems to solve. If you aren’t aligned with a human need, you’re just going to build a very powerful system to address a very small—or perhaps nonexistent—problem.
Our ‘Rational Ai Method’ helps Us to help businesses understand precisely what jobs Ai can, and should be applied too.
There are many types of Ai, and therefore many different ways of designing for it. We split our teams into discipline practices, and allow them to guide your project brief towards logical ouputs.
Understand the problems to be solved.
Sketch out some proposed solutions to discuss.
Work with the wider team to decide and storyboard.
Rapidly prototype the concept being proposed.
Test, learn and iterate with the audience.
Sometimes enhancing the existing capabilities of your team with a managed service can create better results.
Staff Augmentation is a managed service we provide that gives you access to skilled professionals who are accountable for delivering specific project outcomes. It is a mechanism to provide help on a scalable, per project basis and makes it easier for you to focus on your business goals.