CLIMATE AND FINANCE RISK ASSESSMENTS OF FIVE AGRIBUSINESSES USING AI-TOOLS
Agribusinesses across Africa face mounting financial and operational risks, intensified by climate change. Many small and medium enterprises operate with limited capital, narrow revenue bases, and exposure to drought, fuel, and currency shocks. These intertwined risks are hard for investors to asses...
| Autores principales: | , , |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/177814 |
| _version_ | 1855536773197725696 |
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| author | Muthio Muoki, Nicole Hauke, Dahl Peterson, Nathanial Richard |
| author_browse | Hauke, Dahl Muthio Muoki, Nicole Peterson, Nathanial Richard |
| author_facet | Muthio Muoki, Nicole Hauke, Dahl Peterson, Nathanial Richard |
| author_sort | Muthio Muoki, Nicole |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Agribusinesses across Africa face mounting financial and operational risks, intensified by climate change. Many small and medium enterprises operate with limited capital, narrow revenue bases, and exposure to drought, fuel, and currency shocks. These intertwined risks are hard for investors to assess, while traditional risk advisory services remain costly and out of reach for early-stage firms.
This report presents AI-assisted risk assessments as a scalable, low-cost solution. Five anonymized agribusinesses, spanning honey, rice, solar irrigation, poultry inputs, and oilseed processing, were analyzed to identify financial, climate, and organizational vulnerabilities.
The results reveal shared risks but also adaptive practices that enhance resilience. By standardizing and automating the assessment process, the AI tool enables faster, more transparent evaluation of enterprise risk profiles. The approach reduces transaction costs for investors and strengthens the capacity of agribusinesses to attract climate-aligned finance and build long-term resilience in Africa’s food systems. |
| format | Informe técnico |
| id | CGSpace177814 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | CGSpace1778142025-11-12T02:14:02Z CLIMATE AND FINANCE RISK ASSESSMENTS OF FIVE AGRIBUSINESSES USING AI-TOOLS Muthio Muoki, Nicole Hauke, Dahl Peterson, Nathanial Richard climate resilience climate-smart agriculture-climate smart agriculture sustainable development investment promotion Agribusinesses across Africa face mounting financial and operational risks, intensified by climate change. Many small and medium enterprises operate with limited capital, narrow revenue bases, and exposure to drought, fuel, and currency shocks. These intertwined risks are hard for investors to assess, while traditional risk advisory services remain costly and out of reach for early-stage firms. This report presents AI-assisted risk assessments as a scalable, low-cost solution. Five anonymized agribusinesses, spanning honey, rice, solar irrigation, poultry inputs, and oilseed processing, were analyzed to identify financial, climate, and organizational vulnerabilities. The results reveal shared risks but also adaptive practices that enhance resilience. By standardizing and automating the assessment process, the AI tool enables faster, more transparent evaluation of enterprise risk profiles. The approach reduces transaction costs for investors and strengthens the capacity of agribusinesses to attract climate-aligned finance and build long-term resilience in Africa’s food systems. 2025-11-10 2025-11-11T17:26:59Z 2025-11-11T17:26:59Z Report https://hdl.handle.net/10568/177814 en Open Access application/pdf Muoki, N., Dahl, H., Peterson, N. 2025. Climate and Finance Risk Assessments of Five Agribusinesses Using AI-Tools: AI-Advisory Services in Food Systems. AICCRA Report. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA). |
| spellingShingle | climate resilience climate-smart agriculture-climate smart agriculture sustainable development investment promotion Muthio Muoki, Nicole Hauke, Dahl Peterson, Nathanial Richard CLIMATE AND FINANCE RISK ASSESSMENTS OF FIVE AGRIBUSINESSES USING AI-TOOLS |
| title | CLIMATE AND FINANCE RISK ASSESSMENTS OF FIVE AGRIBUSINESSES USING AI-TOOLS |
| title_full | CLIMATE AND FINANCE RISK ASSESSMENTS OF FIVE AGRIBUSINESSES USING AI-TOOLS |
| title_fullStr | CLIMATE AND FINANCE RISK ASSESSMENTS OF FIVE AGRIBUSINESSES USING AI-TOOLS |
| title_full_unstemmed | CLIMATE AND FINANCE RISK ASSESSMENTS OF FIVE AGRIBUSINESSES USING AI-TOOLS |
| title_short | CLIMATE AND FINANCE RISK ASSESSMENTS OF FIVE AGRIBUSINESSES USING AI-TOOLS |
| title_sort | climate and finance risk assessments of five agribusinesses using ai tools |
| topic | climate resilience climate-smart agriculture-climate smart agriculture sustainable development investment promotion |
| url | https://hdl.handle.net/10568/177814 |
| work_keys_str_mv | AT muthiomuokinicole climateandfinanceriskassessmentsoffiveagribusinessesusingaitools AT haukedahl climateandfinanceriskassessmentsoffiveagribusinessesusingaitools AT petersonnathanialrichard climateandfinanceriskassessmentsoffiveagribusinessesusingaitools |