What question did this study set out to answer?

To present a framework for AI-augmented decision intelligence aimed at optimizing resource allocation and talent management in enterprises.

March 30, 2026Open Access

AI-Augmented Decision Intelligence for Enterprise Systems: Integrating Cognitive Analytics for Resource and Talent Optimization

Key Points

To present a framework for AI-augmented decision intelligence aimed at optimizing resource allocation and talent management in enterprises.
Developed an AI-augmented decision intelligence framework
Integrated cognitive analytics and predictive modeling
Implemented human-in-the-loop decision support mechanism
Conducted statistical validation of the framework
Demonstrated an impact on enterprise performance
Established a scalable roadmap for data-driven organizational transformation

Abstract

This paper presents an AI-augmented decision intelligence framework for enterprise systems, integrating cognitive analytics, predictive modeling, and human-in-the-loop decision support for optimized resource allocation and talent management. The study demonstrates statistical validation of AI-driven decision intelligence adoption and its impact on enterprise performance, providing a scalable roadmap for data-driven organizational transformation.

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V. Viswanathan

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Clinical Research Solutions

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AI-Augmented Decision Intelligence for Enterprise Systems: Integrating Cognitive Analytics for Resource and Talent Optimization

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Abstract

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