Fatigue can strongly affect decision-making in critical areas like cybersecurity, making systems more vulnerable and less effective. This paper looks at how an Artificial Intelligence (AI) Coach can help tired employees make better decisions and support learning within the organization. Using a flexible simulation model, the study compares three situations with different types of human-computer interaction: employees working without interaction with an AI Coach, with interaction with an AI Coach, and with an AI Coach as mediator for organisational learning by itself also learning in interaction with experts within the organisation. The model uses time-based cause-effect networks to show how shared understanding develops between employees, AI, and experts. The simulations reveal that the AI Coach helps reduce the negative effects of fatigue by keeping performance strong during important decisions. When experts guide the AI, the results get even better as the AI learns and improves. A What-If analysis explores how different learning speeds affect the outcomes, and the risk assessment shows that having an AI Coach increases the chance of good results and lowers risk. Overall, the findings show how working together with AI can make organizations more resilient and better at learning under pressure.