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), highlighting how interconnected autonomous agents improve operational efficiency and adaptability. Using the PRISMA 2020 framework, this study systematically id...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | AI |
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| Online Access: | https://www.mdpi.com/2673-2688/6/6/123 |
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| author | Peter Adebowale Olujimi Pius Adewale Owolawi Refilwe Constance Mogase Etienne Van Wyk |
| author_facet | Peter Adebowale Olujimi Pius Adewale Owolawi Refilwe Constance Mogase Etienne Van Wyk |
| author_sort | Peter Adebowale Olujimi |
| collection | DOAJ |
| description | This study examines the application of agentic artificial intelligence (AI) frameworks within small, medium, and micro-enterprises (SMMEs), highlighting how interconnected autonomous agents improve operational efficiency and adaptability. Using the PRISMA 2020 framework, this study systematically identified, screened, and analyzed 66 studies, including peer-reviewed and credible gray literature, published between 2019 and 2024, to assess agentic AI frameworks in SMMEs. 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 results demonstrate the potential of agentic AI to address technological, ethical, and infrastructure barriers while promoting innovation, scalability, and competitiveness. This review contributes to the understanding of agentic AI frameworks by offering practical insights and setting the groundwork for further research into their applications in SMMEs’ dynamic and resource-constrained economic environments. |
| format | Article |
| id | doaj-art-ef9554e5ea9d4c9881d0d3d1c544f673 |
| institution | Kabale University |
| issn | 2673-2688 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | AI |
| spelling | doaj-art-ef9554e5ea9d4c9881d0d3d1c544f6732025-08-20T03:30:24ZengMDPI AGAI2673-26882025-06-016612310.3390/ai6060123Agentic AI Frameworks in SMMEs: A Systematic Literature Review of Ecosystemic Interconnected AgentsPeter Adebowale Olujimi0Pius Adewale Owolawi1Refilwe Constance Mogase2Etienne Van Wyk3Department of Informatics, Faculty of Information and Communication Technology, Tshwane University of Technology, Pretoria 0001, South AfricaDepartment of Computer Systems Engineering, Faculty of Information and Communication Technology, Tshwane University of Technology, Pretoria 0001, South AfricaDepartment of Informatics, Faculty of Information and Communication Technology, Tshwane University of Technology, Pretoria 0001, South AfricaFaculty of Information and Communication Technology, Tshwane University of Technology, Pretoria 0001, South AfricaThis study examines the application of agentic artificial intelligence (AI) frameworks within small, medium, and micro-enterprises (SMMEs), highlighting how interconnected autonomous agents improve operational efficiency and adaptability. Using the PRISMA 2020 framework, this study systematically identified, screened, and analyzed 66 studies, including peer-reviewed and credible gray literature, published between 2019 and 2024, to assess agentic AI frameworks in SMMEs. 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 results demonstrate the potential of agentic AI to address technological, ethical, and infrastructure barriers while promoting innovation, scalability, and competitiveness. This review contributes to the understanding of agentic AI frameworks by offering practical insights and setting the groundwork for further research into their applications in SMMEs’ dynamic and resource-constrained economic environments.https://www.mdpi.com/2673-2688/6/6/123agentic AIecosystemic interconnected agentsoperational efficiencysystematic reviewSMMEs |
| spellingShingle | Peter Adebowale Olujimi Pius Adewale Owolawi Refilwe Constance Mogase Etienne Van Wyk Agentic AI Frameworks in SMMEs: A Systematic Literature Review of Ecosystemic Interconnected Agents AI agentic AI ecosystemic interconnected agents operational efficiency systematic review SMMEs |
| title | Agentic AI Frameworks in SMMEs: A Systematic Literature Review of Ecosystemic Interconnected Agents |
| title_full | Agentic AI Frameworks in SMMEs: A Systematic Literature Review of Ecosystemic Interconnected Agents |
| title_fullStr | Agentic AI Frameworks in SMMEs: A Systematic Literature Review of Ecosystemic Interconnected Agents |
| title_full_unstemmed | Agentic AI Frameworks in SMMEs: A Systematic Literature Review of Ecosystemic Interconnected Agents |
| title_short | Agentic AI Frameworks in SMMEs: A Systematic Literature Review of Ecosystemic Interconnected Agents |
| title_sort | agentic ai frameworks in smmes a systematic literature review of ecosystemic interconnected agents |
| topic | agentic AI ecosystemic interconnected agents operational efficiency systematic review SMMEs |
| url | https://www.mdpi.com/2673-2688/6/6/123 |
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