AI-Enabled Consumer Engagement to Advance Family Planning

This request for proposals (RFP) seeks projects that evaluate whether AI-enabled direct-to-consumer engagement can improve contraceptive uptake, continuation, and informed method choice at scale. The challenge focuses on generating rigorous evidence about which AI-enabled tools and interaction features are most effective, and on producing shared analytic resources such as labeled conversations, quality rubrics, and safety protocols. Interventions should be designed to measure interaction quality, scale, and user outcomes and to assess cost and feasibility compared with alternative engagement approaches. The target population for interventions is women and girls of reproductive age in sub-Saharan Africa.

Proposals should be able to deploy AI-enabled consumer engagement interventions and measure interaction quality, scale, and user outcomes. Interventions must focus on women and girls of reproductive age in sub-Saharan Africa; applicants should demonstrate a credible pathway between AI-enabled engagement and family planning outcomes.

Submit a proposal in response to the RFP following the provided Application Instructions; applicants are encouraged to review terms and guidelines and attend a webinar. Supporting documents and an application instructions PDF are provided on the challenge page.