Why AI tools fail when employees aren't involved from the start

Prompt engineer Susanne Renate Schneider frequently addresses a recurring problem in her corporate talks. Companies introduce AI tools, yet employees often fail to adopt them. This issue is a central theme in her discussions on workplace technology. Schneider highlights a key mistake: organisations roll out new systems without involving their staff. As a result, teams ignore the tools, sometimes turning to unofficial software instead. This creates data protection risks and leaves the intended solutions unused.

To tackle this, she advises defining clear use cases with employees before any launch. She also suggests identifying daily frustrations first, then presenting AI as a practical answer. Skepticism, she notes, should not be dismissed as resistance, as critical voices can prevent expensive errors.

Her insights feature in the MeisterPrompter podcast, where she explores interdisciplinary AI teams and working with AI agents. More advice is available in the Arbeit in Progress podcast on the company’s website. The Arbeit in Progress podcast can be found by searching its name on the company’s site. Subscribers can also access it through their preferred podcast app. Schneider’s approach aims to bridge the gap between technology and its users in the workplace.