Data Stewardship Co-Pilot: Transforming Enterprise Data Governance with Generative AI and Agentic Frameworks

The convergence of Generative AI and agentic frameworks is fundamentally transforming enterprise data governance, offering a solution to the exponential growth in data complexity that traditional manual methods cannot address. This emerging paradigm shift introduces the concept of a Data Stewardship Co-Pilot—an intelligent, AI-powered partner that guides organizations through comprehensive data governance while democratizing access to complex data environments. The evolution from manual processes to intelligent automation employs specialized horizontal and vertical AI agents that autonomously handle diverse governance tasks with unprecedented precision and speed. These agents work within a sophisticated architecture comprising prompt stores, intuitive interfaces, vector-based indexing, context search engines, agent pools, knowledge graphs, and feedback mechanisms. By merging Generative AI's conversational capabilities with agentic frameworks' analytical depth, organizations can achieve significant improvements in efficiency, data quality, scalability, and collaboration while reducing operational costs and enhancing compliance standards. Leading technology platforms are actively facilitating these innovations, positioning AI-assisted data stewardship as a strategic differentiator in the increasingly data-driven business landscape.

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Publication Details

Journal
European Journal of Computer Science and Information Technology
Published
2025-04-15
DOI
https://doi.org/10.37745/ejcsit.2013/vol13n22114
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

Data Stewardship Co-Pilot: Transforming Enterprise Data Governance with Generative AI and Agentic Frameworks

Sumit Chakraborty
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European Journal of Computer Science and Information Technology
Big Data and Business Intelligence
article

Data Stewardship Co-Pilot: Transforming Enterprise Data Governance with Generative AI and Agentic Frameworks

Sumit Chakraborty
article en

Abstract

The convergence of Generative AI and agentic frameworks is fundamentally transforming enterprise data governance, offering a solution to the exponential growth in data complexity that traditional manual methods cannot address. This emerging paradigm shift introduces the concept of a Data Stewardship Co-Pilot—an intelligent, AI-powered partner that guides organizations through comprehensive data governance while democratizing access to complex data environments. The evolution from manual processes to intelligent automation employs specialized horizontal and vertical AI agents that autonomously handle diverse governance tasks with unprecedented precision and speed. These agents work within a sophisticated architecture comprising prompt stores, intuitive interfaces, vector-based indexing, context search engines, agent pools, knowledge graphs, and feedback mechanisms. By merging Generative AI's conversational capabilities with agentic frameworks' analytical depth, organizations can achieve significant improvements in efficiency, data quality, scalability, and collaboration while reducing operational costs and enhancing compliance standards. Leading technology platforms are actively facilitating these innovations, positioning AI-assisted data stewardship as a strategic differentiator in the increasingly data-driven business landscape.

European Journal of Computer Science and Information TechnologyVol. 13(22)
Centre for European Reform (GB), Fresh Science (AU)
Openalex Percentile: Top 82%
Big Data and Business Intelligence
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Data Stewardship Co-Pilot: Transforming Enterprise Data Governance with Generative AI and Agentic Frameworks — Sumit Chakraborty · European Journal of Computer Science and Information Technology (2025) | TGRS Research Map | TGRS