Artificial Intelligence and Work-Life Integration: Developing an AI-Enabled Framework for Infosys

ABSTRACT This research investigates the impact of AI implementation on work-life integration at Infosys, developing a framework to optimize digital transformation while preserving employee well-being. Through theoretical analysis, sector evaluation, and primary research with 44 Infosys employees, the study reveals that while AI has reduced workload for 56.8% of respondents, 63.6% still work beyond scheduled hours regularly. The research identifies client expectations (72.7%) and global team coordination (68.2%) as primary drivers of work-life boundary erosion. The developed AI-enabled framework addresses these challenges through five integrated components including intelligent workload management, boundary intelligence, and context-aware collaboration platforms. This structured approach transforms AI from a boundary disruptor to a work-life enabler while maintaining organizational performance. Keywords: artificial intelligence, work-life integration, digital transformation, employee wellbeing, IT consulting