AI is in the middle of its hype cycle. There’s a surge in experimentation, development, and pilot projects. But if the user is not put at the center, these exciting AI programs often fail.
Many AI implementations are built for people, but not with people.
The difference becomes immediately clear: the AI solutions solve the wrong problem, take users out of their workflow, or simply fall short.
For example, imagine an AI agent that performs tasks independently, but does not show you what it is doing, how far along it is, or what the outcome will be.
Key information is missing, such as: "Has this already been processed?", "What happens if I change something now?" and "Can I reverse this?"