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The importance of the incorporation of artificial intelligence (AI) into the process of product management made a paradigm shift towards holistic and cross-functional approaches. The deployment of effective AI features these days involves a direct interconnection between the representatives of product management, data science, the field of UX design, the sphere of law, and specialists in ethics. This is a review of the structures, modes of operation, and empirical effects of cross-functional partnership in AI product lifecycles. Industry case study results and university research findings point to enhancing deployment efficiency, regulatory compliance, and user satisfaction with collaborative models in place. The review also documents the structural issues and points the way forward for certain governance, flexibility, and alignment among stakeholders in AI-enabled product strategies.
Keywords:
AI Product Management, Cross-Functional Teams, Agile AI, Ethics in AI, Product Lifecycle, Human-Centered Design, MLOps, Governance, Team Alignment, AI Strategy
Cite Article:
"Cross-Functional AI Strategy in Product Management", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.b648-b654, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506177.pdf
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000406
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