| Sumario: | This presentation explored how generative AI can streamline agricultural risk management for African agrifood and agtech enterprises. It highlighted why conventional tools—focused mainly on weather and markets—overlook behavioral and systemic factors that constrain scaling and investment. Drawing on lessons from AICCRA Food Systems Accelerators, it showed how accelerator programs can de-risk agribusinesses and link science with enterprise, while also facing limitations in scale and incentive alignment. The talk introduced an open-source, modular AI workflow developed by CGIAR that integrates satellite, weather, agronomic, and behavioral data to generate rapid diagnostics and investment insights. By reducing transaction costs and improving decision quality, the approach supports researchers, development partners, governments, and investors in strengthening evidence-based, climate-smart food systems.
Presented at the World Bank Soil Health Innovation and Scale Summit, Nairobi, June 2025, to an audience of agtech, research, development, and government stakeholders.
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