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This integration of Artificial Intelligence (AI) in program and portfolio management (PPM) has undergone a colossal transformation, and the persona-centric AI assistants could be regarded as a breakthrough development. Such smart systems are job-dependent within an organization, as opposed to generic AI tools, and offer customized contextual decision support, which remains uniform to the specific strategic, operational, and behavioral complexities of users. The paper talks about the evolution, application, and potential of persona-specific AI assistants and how these may supplement the base PPM functions, including project selection, resource optimization, and risk management. It focuses on implementation strategies, highlights some of the central concerns (data quality, algorithmic bias, user trust, etc.), and explores the future trends, including emotional intelligence, composite personas, and decentralized models of artificial intelligence. The work provides a complete workaround to understand and capitalize on persona-based AI and applies it in dynamic project environments, according to the scholarly research and business experience.
Keywords:
Persona-Centric AI; Program and Portfolio Management; Decision Support Systems; Artificial Intelligence in Enterprises; Intelligent Assistants
Cite Article:
"Persona-Centric AI Assistants for Program and Portfolio Management ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 8, page no.b492-b498, August-2025, Available :http://www.ijrti.org/papers/IJRTI2508164.pdf
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000308
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator