In an effort to enhance AI adoption, a company paused normal operations for two weeks, engaging over 500 employees from various departments to identify repetitive tasks suitable for automation. This initiative revealed that the primary barrier to effective AI integration is behavioral rather than technical. Many employees had not experienced AI in a practical context, leading to a disconnect between theoretical knowledge and real-world application. By framing the challenge as 'what should no longer be done manually?', teams uncovered numerous high-impact use cases. For instance, the HR team automated engagement report generation, while the legal team developed a compliance check tool. The experiment highlighted that when employees actively engage with AI, their perceptions shift from viewing it as a threat to recognizing it as a valuable asset that alleviates tedious tasks. This transformation underscores the importance of hands-on practice in fostering a culture of AI adoption. Ultimately, the focus should be on redesigning workflows to incorporate AI as a standard practice, enabling employees to dedicate more time to creative and strategic efforts.