AI-Enabled Advisory at Scale: Insights from Digital Green’s FarmerChat Deployment in Kenya
Background & Context:
Kenya has more than 7 million registered farmers, representing 52% of households in Kenya, who make up 80% of the country’s agricultural output and about 70% of marketed agricultural produce. Challenges faced by farmers include, 1) inefficiencies in traditional extension services, 2) language and digital literacy barriers, 3) Market information and 4) climate change among others.
Objectives:
1. Highlight the contributions smallholder farmers in Kenya and the challenges they face.
2. Introduce FarmerChat, an AI agricultural advisory assistant that provides on-time and reliable advisory to farmers.
3. Highlight lessons learned from deploying FarmerChat.
Expected Outcomes:
Following this session, participants will:
1. Appreciate the importance of smallholder farmers in Kenya’s agricultural sector.
2. Gain insight into the challenges faced by smallholder farmers and appreciate how AI is impacting smallholder farmers positively.
3. Explore ways for collaboration and knowledge sharing.
Relevance to Conference Themes
This session strongly aligns to the theme of a) Data: Charting the Future of Data in Development and Humanitarian Response and Future and 2) Shaping Tomorrow — Building Equitable and Sustainable Digital Futures. The session will highlight how AI tools can advance access to knowledge for smallholder farmers. Excerpts will be shared from an external study of FarmerChat, showing high adoption rates among women and men and possibilities of engaging youth in the agricultural sector through the use of digital solutions.
Innovation & Contribution
FarmerChat is an AI powered agricultural advisory assistant that is innovative in nature. FarmerChat provides localized multilingual, multimodal advisory to smallholder farmers covering most value chains in Kenya.
Speakers
Alex has worked in the humanitarian and development sector for over two decades. He has a passion for sustainable community development and the use of technology as a driver of social impact. From on organization development standpoint, Mwaura is also passionate about building highly functional teams that design and deliver impactful projects and programs.
He has a Bachelor of Arts degree in Communication, and Executive Master’s Degree in Organization Development and a Master’s degree in Sustainable Development from the Institute of Development Studies at the University of Sussex. He is currently a doctoral student of Leadership in Global Perspectives at George Fox University. Currently, Alex serves as the Country Director with Digital Green Kenya, overseeing the deployment of FarmerChat, an AI assistant that provides localized and timely agricultural advisory; reaching over 200,000 farmers as of March 2026. Prior to joining Digital Green, Alex spent 21 years leading multi-sectoral humanitarian and development programs focused on resilience, systems practice, food security, education, WASH, health and nutrition across east, central and southern Africa.
Underpinning his drive is the desire to celebrate and leverage on the abundance of wealth in local knowledge as a pathway to sustainably addressing systemic issues.
Jacqueline Wang’ombe is a data-driven agriculture strategist with interdisciplinary expertise in livestock economics, data science, and digital agricultural systems. Based in Nairobi, Kenya, her work focuses on leveraging artificial intelligence, data analytics, and scalable advisory models to enhance agricultural productivity, sustainability, and farmer livelihoods, with a particular emphasis on livestock systems.
She currently serves as Program Head at Digital Green (Kenya), where she leads the strategic design and implementation of large-scale, AI-enabled digital advisory programs, including the deployment and scale-up of tools such as FarmerChat. In this role, she oversees multi-stakeholder partnerships with government agencies, research institutions, and international organizations to drive the adoption of data-driven agricultural solutions. Her work has supported over 200,000 farmers, improving access to timely, localized advisory services and strengthening on-farm decision-making and productivity outcomes.
Previously, Jacqueline worked with TomorrowNow.org (Boston, USA), where she developed geospatial datasets to support climate-informed seed breeding and agricultural planning, improving the accuracy and usability of climate data for agricultural stakeholders. She also trained at EXPLORE Data Science Academy (Johannesburg, South Africa), where she developed machine learning models for plant disease detection and recommender systems, strengthening her expertise in applied AI and data science.
Jacqueline holds a Bachelor’s degree in Veterinary Medicine and is currently pursuing a Master’s degree in Agricultural and Applied Economics at the University of Nairobi, focusing on livestock production economics and disease management, including vaccination adoption. Her work integrates quantitative analysis, program leadership, and field implementation to advance inclusive, evidence-based agricultural transformation.
AI-Enabled Advisory at Scale: Insights from Digital Green’s FarmerChat Deployment in Kenya
Session Type
Breakout Sessions
Description
Theme: Data Theme: Charting the Future of Data in Development and Humanitarian Response. Explore the rapidly shifting data landscape – from AI’s potential and pitfalls to challenges associated with responsible data sharing, interoperability, and the power dynamics in data collection and use.Primary Tag: Artificial Intelligence (AI)
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