Agentic AI Frameworks in SMMEs: A Systematic Literature Review of Ecosystemic Interconnected Agents

This study examines the application of agentic artificial intelligence (AI) frameworks within small, medium, and micro enterprises (SMMEs), emphasising the transformative potential of interconnected autonomous agents in enhancing operational efficiency and adaptability. Using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyzes) framework, this study rigorously identified, screened, and analyzed 63 peer-reviewed studies published between 2019 and 2024. Recognizing the constraints faced by SMMEs, such as limited scalability, high operational demands, and restricted access to advanced technologies, the review synthesizes existing research to highlight the characteristics, implementations, and impacts of agentic AI in task automation, decision-making, and ecosystem-wide collaboration. The findings underscore the role of agentic AI in fostering innovation, scalability, and competitiveness while addressing barriers such as technological, ethical, and infrastructural challenges. By advancing the understanding of agentic AI frameworks, this research provides actionable insights and sets a foundation for future explorations into their implications within resource-constrained and dynamic economic landscapes.