International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 73

India | Computer Science | Volume 14 Issue 4, April 2025 | Pages: 602 - 607


Achieving Grant Management Best Practices Through ERP Systems and AI: A New Era of Efficiency and Impact

Venkateswarlu Yenuganti

Abstract: Grant management is a critical yet complex process for organizations reliant on external funding, often hindered by inefficiencies, compliance risks, and resource constraints. The integration of Artificial Intelligence (AI) and Enterprise Resource Planning (ERP) systems is revolutionizing this domain, enabling organizations to achieve best practices in grant management. This article explores how AI - driven tools streamline grant application processes, enhance monitoring and reporting, and improve decision - making through predictive analytics and data - driven insights. ERP systems complement these advancements by automating financial transactions, ensuring compliance, and providing real - time visibility into grant performance. Supported by case studies from leading organizations like the Gates Foundation, World Bank, and Ford Foundation, this article demonstrates how AI and ERP systems collectively enhance efficiency, reduce fraud, and maximize the impact of funded projects. By adopting these technologies, organizations can navigate the complexities of grant management and unlock new opportunities for innovation and success.

Keywords: AI - driven grant management, ERP for nonprofit efficiency, Grant compliance automation, Predictive analytics for grants, and Grant lifecycle optimization

How to Cite?: Venkateswarlu Yenuganti, "Achieving Grant Management Best Practices Through ERP Systems and AI: A New Era of Efficiency and Impact", Volume 14 Issue 4, April 2025, International Journal of Science and Research (IJSR), Pages: 602-607, https://www.ijsr.net/getabstract.php?paperid=SR25406230112, DOI: https://dx.doi.org/10.21275/SR25406230112


Download Article PDF


Rate This Article! View 6 Comments


Top