Scaling AI in organizations often fails due to poor integration with human processes. McKinsey highlights that only about 6% of companies effectively leverage AI by fundamentally redesigning their workflows instead of merely adding AI tools to existing systems. These high performers are nearly three times more likely to reinvent workflows, ensuring that AI and human efforts align. They emphasize human oversight in AI outputs and train staff to work alongside AI, leading to significant business impact. In contrast, many organizations treat AI as a plug-and-play solution, expecting success without altering their operational structures. This results in what McKinsey calls "pilot purgatory," where employees cling to old habits, leading to frustration and lack of return on investment. Neuroscience research reveals that poorly designed AI tools can overwhelm users with cognitive load, making it harder for them to perform their tasks. If AI increases mental strain instead of alleviating it, workers may resist or abandon the technology altogether. Psychological factors also play a significant role in AI adoption. Employees may feel threatened by AI, fearing job displacement or loss of status within their organization. This fear can lead to disengagement and resistance to adopting new technologies. To address these issues, the article suggests a framework called "Cognition × Culture × Control," which focuses on designing AI that aligns with human cognition. AI should simplify tasks rather than complicate them, integrating seamlessly into existing workflows to reduce cognitive load. This approach not only fosters better collaboration between humans and AI but also mitigates psychological barriers to adoption.