AI-powered risk assessment tools for agribusinesses: transforming investment-readiness and climate advisory in Africa
The Info Note presents findings from ten East African agribusinesses piloting an AI-powered risk assessment tool developed by AICCRA and CGIAR. The tool integrates financial, climate, and behavioral data to produce investor-grade insights within hours, replacing months-long consultant-led analyses a...
| Autores principales: | , , |
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| Formato: | Brief |
| Lenguaje: | Inglés |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/177803 |
| _version_ | 1855515380891516928 |
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| author | Dahl, Hauke Peterson, Nathanial Richard Muoki, Nicole |
| author_browse | Dahl, Hauke Muoki, Nicole Peterson, Nathanial Richard |
| author_facet | Dahl, Hauke Peterson, Nathanial Richard Muoki, Nicole |
| author_sort | Dahl, Hauke |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The Info Note presents findings from ten East African agribusinesses piloting an AI-powered risk assessment tool developed by AICCRA and CGIAR. The tool integrates financial, climate, and behavioral data to produce investor-grade insights within hours, replacing months-long consultant-led analyses at less than five percent of the cost. Built on structured AI prompts and open datasets, it standardizes risk diagnostics across enterprises, improving comparability and decision-making. Results highlight how the system identifies liquidity constraints, climate vulnerabilities, and behavioral risks such as side-selling and managerial dependence. Its transparency, scalability, and reproducibility make it a transformative approach for investment readiness and climate-smart advisory. The study concludes that AI-enabled diagnostics can enhance policy alignment, investment efficiency, and resilience planning across Africa’s agrifood systems. |
| format | Brief |
| id | CGSpace177803 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | CGSpace1778032025-11-12T02:01:29Z AI-powered risk assessment tools for agribusinesses: transforming investment-readiness and climate advisory in Africa Dahl, Hauke Peterson, Nathanial Richard Muoki, Nicole artificial intelligence risk assessment agro-industrial sector-agribusiness investment promotion The Info Note presents findings from ten East African agribusinesses piloting an AI-powered risk assessment tool developed by AICCRA and CGIAR. The tool integrates financial, climate, and behavioral data to produce investor-grade insights within hours, replacing months-long consultant-led analyses at less than five percent of the cost. Built on structured AI prompts and open datasets, it standardizes risk diagnostics across enterprises, improving comparability and decision-making. Results highlight how the system identifies liquidity constraints, climate vulnerabilities, and behavioral risks such as side-selling and managerial dependence. Its transparency, scalability, and reproducibility make it a transformative approach for investment readiness and climate-smart advisory. The study concludes that AI-enabled diagnostics can enhance policy alignment, investment efficiency, and resilience planning across Africa’s agrifood systems. 2025-11-06 2025-11-11T15:11:25Z 2025-11-11T15:11:25Z Brief https://hdl.handle.net/10568/177803 en Open Access application/pdf Dahl, H., Peterson, N., Muoki, N. 2025. AI-powered risk assessment tools for agribusinesses: transforming investment-readiness and climate advisory in Africa. AICCRA Brief. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA). |
| spellingShingle | artificial intelligence risk assessment agro-industrial sector-agribusiness investment promotion Dahl, Hauke Peterson, Nathanial Richard Muoki, Nicole AI-powered risk assessment tools for agribusinesses: transforming investment-readiness and climate advisory in Africa |
| title | AI-powered risk assessment tools for agribusinesses: transforming investment-readiness and climate advisory in Africa |
| title_full | AI-powered risk assessment tools for agribusinesses: transforming investment-readiness and climate advisory in Africa |
| title_fullStr | AI-powered risk assessment tools for agribusinesses: transforming investment-readiness and climate advisory in Africa |
| title_full_unstemmed | AI-powered risk assessment tools for agribusinesses: transforming investment-readiness and climate advisory in Africa |
| title_short | AI-powered risk assessment tools for agribusinesses: transforming investment-readiness and climate advisory in Africa |
| title_sort | ai powered risk assessment tools for agribusinesses transforming investment readiness and climate advisory in africa |
| topic | artificial intelligence risk assessment agro-industrial sector-agribusiness investment promotion |
| url | https://hdl.handle.net/10568/177803 |
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