
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 2
March-April 2025
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Optimizing Corporate Trainings by Leveraging Agentic AI and Diverse Personas
Author(s) | Hemant Tale, Satwik P M, Ashish Rawat |
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Country | India |
Abstract | This paper explores how Agentic AI can enhance training preparation in corporate and IT companies by leveraging diverse personas and acting as a co-developer. As organizations shift towards AI-powered solutions, integrating Agentic AI in learning and development (L&D) functions can improve training efficiency, personalization, and engagement. This paper examines the role of AI-driven personas in content creation, the collaborative capabilities of Agentic AI, and its impact on training outcomes. Through a mixed-methods approach, the study analyses current trends, case studies, and expert insights to provide a roadmap for AI-assisted training development. The findings suggest that Agentic AI can revolutionize corporate training by increasing adaptability, reducing development time, and fostering deeper learner engagement. |
Keywords | Agentic AI, Training Development, Corporate IT, Personas, Co-Development, AI in Learning & Development |
Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
Published In | Volume 7, Issue 2, March-April 2025 |
Published On | 2025-03-13 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i02.38438 |
Short DOI | https://doi.org/g895k3 |
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E-ISSN 2582-2160

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IJFMR DOI prefix is
10.36948/ijfmr
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