Denys Ovsiannykov

This article explores the potential of integrating biological rhythms, artificial intelligence (AI), and collective synergy to create adaptive work schedules that meet both individual needs and organizational objectives. The paper emphasizes the misalignment of traditional static schedules with natural circadian rhythms, highlighting the negative effects on productivity, well-being, and stress levels. The study aims to demonstrate how AI-driven technologies, combined with biometric data from wearable devices, can optimize work schedules to improve cognitive performance by 20-30%, as evidenced by recent studies.

The proposed methodology leverages AI to process physiological and cognitive data, tailoring individual work schedules while ensuring team synchronization through collective synergy. By creating "synchronization windows" for collaborative tasks, AI mitigates the loss of collective efficiency often associated with flexible schedules. The article provides a framework for implementing this model, emphasizing the balance between flexibility and team interaction, supported by technologies such as fitness trackers and machine learning algorithms.

The findings underscore the practical value of integrating AI in workforce management, offering organizations a pathway to enhance productivity by 15-20% and reduce employee turnover. This study contributes to the discourse on modern work optimization by bridging individual productivity, technological advancements, and collective efficiency, presenting a dynamic, future-oriented approach to work scheduling.