This study examines the effect of agentic artificial intelligence (AI) driven workforce planning on operational efficiency in Indian service sector organizations. Agentic AI refers to artificial intelligence systems capable of autonomous goal-directed action systems that do not merely support human decisions but execute them independently. As service organizations increasingly adopt AI tools in Human Resource (HR) functions, the conditions under which such adoption translates into measurable efficiency gains remain empirically underexplored. The study was conducted with a sample of 50 HR professionals and operations managers drawn from IT, BPO, retail, and allied service sector organizations across India through purposive sampling. Data was collected using a structured questionnaire administered via Google Forms and analysed using Jamovi version 2.6. The survey instrument comprised six sections covering workforce planning practices, AI awareness and adoption, operational efficiency outcomes, organisational readiness, and future orientation toward agentic AI. Based on these findings, a three-stage framework for responsible agentic AI adoption is proposed, covering Readiness Assessment, Assisted Decision Making, and Autonomous Execution. The study contributes original empirical evidence on agentic AI and operational efficiency in the service sector context and offers actionable guidance for HR practitioners and organizational leaders.

Keywords: Agentic, Artificial Intelligence (AI), HR, Operational Efficiency, Indian Service
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