AI for Country Strategic Planning

Country Strategic Plans (CSPs), which outline WFP’s priorities and actions in a specific country to address hunger and support food security, are built by carefully analyzing a wide range of information, including various reports, policy documents and lessons learned. This thorough analysis is essential for identifying gaps and making strategic decisions tailored to the needs of each country office. However, reviewing all this information manually is time-intensive, and decision-making can be constrained by limited time and access to insights. These challenges highlight the need for more efficient ways to manage complex information, ensuring staff time is used effectively without compromising the quality of strategic planning.

By harnessing AI to consolidate data from diverse sources, ranging from previous country strategic plans, evaluation reports and annual reports, the system is poised to cut the time it currently takes (up to 18 months) to develop country strategic plans. The first prototype has been successfully demonstrated, garnering enthusiasm and prompting requests for additional features. With a minimum viable product (MVP) targeted for spring 2025, this innovation promises significant efficiency gains and improved accuracy and alignment in strategic planning, ultimately guiding more effective humanitarian interventions.

By harnessing AI to consolidate data from diverse sources, ranging from previous country strategic plans, evaluation reports and annual reports, the system is poised to cut the time it currently takes (up to 18 months) to develop country strategic plans. The first prototype has been successfully demonstrated, garnering enthusiasm and prompting requests for additional features. With a minimum viable product (MVP) targeted for spring 2025, this innovation promises significant efficiency gains and improved accuracy and alignment in strategic planning, ultimately guiding more effective humanitarian interventions.