See what AI for social impact looks like in practice.
A curated collection of interventions, architectures, evidence, and lessons from organizations putting AI to work around real social needs. See what was built, what role AI played, what evidence exists, what remains unresolved, and what others can learn.
Showing 5 cases
A confidential family-planning journey on WhatsApp and SMS
WAYA is being developed with a Kenyan field partner to explore trusted guidance, proactive follow-up, human support, service connection, and outcome measurement.
Prototype stage. Deployment and evaluation are still required. Explore WAYA
Agricultural advice in a farmer's own language, at scale
Farmer.Chat lets smallholder farmers and extension agents ask farming questions by voice, text, or photo and receive answers drawn from curated agricultural content in local languages.
Strong reach evidence: more than 1.7 million farmers reported in 2026. Yield and income effects await independent evaluation. Explore Farmer.Chat
Maternal and reproductive-health support through SMS
PROMPTS provides personalized information and support to women in Kenya. Its recent GenAI integration demonstrates high-volume question answering and major response-time improvements.
Strong operational evidence. Wider health outcomes predate the GenAI layer and require separate attribution. Explore PROMPTS
Directing nurse attention toward the questions that need it most
A multilingual classification system helps organize large volumes of caregiver questions and identify which require human review.
Pilot testing reported an 80 percent reduction in queries requiring nurse review. Clinical outcomes belong to the wider program. Explore Noora Health
Turning remote forest sounds into signals for action
Solar-powered acoustic devices and AI models detect sounds such as chainsaws, vehicles, or gunshots and alert conservation teams to possible threats.
A new mission capability rather than an efficiency use case. Explore Rainforest Connection
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