• Dr. M Somaiah

Employee engagement and performance control constitute important achievement elements for organizational effectiveness in modern day competitive business environment. Traditional tactics to measuring and handling employee performance often rely on subjective assessments, annual evaluations, and restricted feedback mechanisms that fail to seize the dynamic nature of place of work productiveness and pleasure. This paper explores the transformative capacity of Artificial Intelligence in revolutionizing worker engagement techniques and overall performance management structures. The look at examines how AI technologies, together with predictive analytics, sentiment evaluation, herbal language processing, and behavioral pattern recognition, are enabling groups to create extra responsive, personalised, and effective human useful resource management practices. Through comprehensive evaluation of modern implementations, technological skills, and organizational effects, this studies demonstrates that AI-powered systems offer tremendous benefits in actual-time performance monitoring, predictive engagement analytics, and personalized employee development pathways. The paper addresses key demanding situations consisting of records privateness concerns, algorithmic bias, and the want for human-centric strategies in AI implementation. Findings suggest that a success integration of AI in worker engagement and overall performance control calls for careful balance among technological abilties and human judgment, with emphasis on transparency, equity, and employee trust. The research concludes that companies adopting AI-driven human resource practices gain higher levels of employee pride, improved performance effects, and improved organizational agility.

Artificial Intelligence, Employee Engagement, Performance Management, Predictive Analytics, Human Resources, Workplace Analytics, Organizational Behavior

"AI-POWERED EMPLOYEE ENGAGEMENT AND PERFORMANCE MANAGEMENT: REVOLUTIONIZING HUMAN CAPITAL OPTIMIZATION IN MODERN ORGANIZATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 8, page no.320-325, August-2025, Available :http://www.jetir.org/papers/JETIRHC06048.pdf

"AI-POWERED EMPLOYEE ENGAGEMENT AND PERFORMANCE MANAGEMENT: REVOLUTIONIZING HUMAN CAPITAL OPTIMIZATION IN MODERN ORGANIZATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 8, page no. pp320-325, August-2025, Available at : http://www.jetir.org/papers/JETIRHC06048.pdf