We use AI wherever it can accelerate the work, open up more possibilities and improve the outcome – for example in research, exploration, generating variations, prototyping and repetitive tasks.
But AI does not make the decisions for us.
Understanding the problem, the users and the context, the business implications and product impact, setting direction, prioritizing, applying design judgment and reviewing the outcome all remain the responsibility of our team.
Our goal is not to make AI do more work. It is to use AI intelligently, so our team can invest more time in thinking, decision-making and solving the right problem.