Proceedings of the 9th International Conference on Research in Management and Economics
Year: 2024
DOI:
[PDF]
Radical Innovation in Leveraging AI through Founder Mode: Scaling Social Impact in Solo-Founder AI-Driven Nonprofits Mode (SFADNM)
Yujia Zhu
ABSTRACT:
The Solo Founder AI-Driven Nonprofit Mode (SFADNM) is a pioneering operational model that leverages artificial intelligence to address traditional challenges within the nonprofit sector, such as resource limitations, dependency on external funding, and scalability barriers. By adopting SFADNM, a single founder can lead a nonprofit without relying on extensive staff, financial support, or physical infrastructure, creating a lean, mission-centered organization. This model enables automation in essential functions, including user engagement, administrative tasks, and resource allocation, allowing founders to focus on strategic mission-aligned goals. Unlike conventional nonprofits, SFADNM facilitates sustainability by eliminating funding dependencies, creating an efficient, AI-powered structure that enhances reach and adaptability. Using FASSLING, a Canadian federally registered nonprofit for A Safer Space (FASS)’s AI product line with 14 products, as a case study, this paper explores the efficacy of SFADNM in delivering personalized support services globally, offering a novel pathway for social entrepreneurs to maximize societal impact independently. This paper provides insights into how AI integration can redefine nonprofit operations by fostering mission-driven innovation without traditional financial dependencies, showcasing a sustainable alternative for mission-focused organizations.
keywords: AI-driven nonprofit, Solo founder, Nonprofit innovation, Social Entrepreneurship, Nonprofit scalability