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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM49969
Volume:
9 |
6 |
Jun 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
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
Publication Date
11/5/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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