The challenge

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 analysing 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.

The solution

AI for Country Strategic Plans is an AI-powered system designed to analyse complex documents, including country strategic plans, evaluations, WFP strategies and assessments, to support strategic decision-making in plan formulation. It identifies relevant outcomes and activities, answers queries across country strategic plans and annual country reports and auto-generates strategic outcome sections based on prompts and past documents. 

 

Results

By consolidating data from multiple sources with AI, the system is positioned to significantly shorten the development time of country strategic plans, which can currently take up to 18 months. The demonstration of the first prototype generated multiple requests for expanded functionality. The minimum viable product was completed in March 2025 and presented during UN 2.0 Week, highlighting its potential to deliver major efficiency gains and improve accuracy and alignment across WFP’s strategic planning processes.

Last updated: 10/04/2026